Medicare Program; Inpatient Psychiatric Facilities Prospective Payment System Payment Update for Rate Year Beginning July 1, 2006 (RY 2007)

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Federal RegisterJan 23, 2006
71 Fed. Reg. 3615 (Jan. 23, 2006)

AGENCY:

Centers for Medicare & Medicaid Services (CMS), HHS.

ACTION:

Proposed rule.

SUMMARY:

This proposed rule would update the prospective payment rates for Medicare inpatient hospital services provided by inpatient psychiatric facilities (IPFs). These changes are applicable to IPF discharges occurring during the rate year beginning July 1, 2006 through June 30, 2007. We are proposing to adopt the new Office of Management and Budget (OMB) labor market area definitions for the purpose of geographic classification and the wage index. In addition, we are proposing other new polices and making changes to existing policies.

DATES:

We will consider comments if we receive them at the appropriate address provided below, no later than 5 p.m. on March 14, 2006.

ADDRESSES:

In commenting, please refer to file code CMS-1306-P. Because of staff and resource limitations, we cannot accept comments by facsimile (FAX) transmission.

You may submit comments in one of three ways (no duplicates, please):

1. Electronically. You may submit electronic comments on specific issues in this regulation to http://www.cms.hhs.gov/eRulemaking. (Attachments should be in Microsoft Word, WordPerfect, or Excel; however, we prefer Microsoft Word.)

2. By mail. You may mail written comments (one original and two copies) to the following address ONLY: Centers for Medicare & Medicaid Services, Department of Health and Human Services, Attention: CMS-1306-P, P.O. Box 8010, Baltimore, MD 21244.

Please allow sufficient time for mailed comments to be received before the close of the comment period.

3. By hand or courier. If you prefer, you may deliver (by hand or courier) your written comments (one original and two copies) before the close of the comment period to one of the following addresses. If you intend to deliver your comments to the Baltimore address, please call telephone number (410) 786-9994 in advance to schedule your arrival with one of our staff members. Room 445-G, Hubert H. Humphrey Building, 200 Independence Avenue, SW., Washington, DC 20201; or 7500 Security Boulevard, Baltimore, MD 21244-1850.

(Because access to the interior of the Humphrey Building is not readily available to persons without Federal Government identification, commenters are encouraged to leave their comments in the CMS drop slots located in the main lobby of the building. A stamp-in clock is available for persons wishing to retain a proof of filing by stamping in and retaining an extra copy of the comments being filed.)

Comments mailed to the addresses indicated as appropriate for hand or courier delivery may be delayed and received after the comment period.

Submission of comments on paperwork requirements. You may submit comments on this document's paperwork requirements by mailing your comments to the addresses provided at the end of the “Collection of Information Requirements” section in this document.

For information on viewing public comments, see the beginning of the SUPPLEMENTARY INFORMATION section.

FOR FURTHER INFORMATION CONTACT:

Janet Samen, (410) 786-4533 for general information. Mary Lee Seifert, (410) 786-0030 for information regarding the market basket and labor-related share. Theresa Bean, (410) 786-2287 for impact. Matthew Quarrick, (410) 786-9867 for wage index.

SUPPLEMENTARY INFORMATION:

Submitting Comments: We welcome comments from the public on all issues set forth in this rule to assist us in fully considering issues and developing policies. You can assist us by referencing the file code CMS-1306-P and the specific “issue identifier” that precedes the section on which you choose to comment.

Inspection of Public Comments: All comments received before the close of the comment period are available for viewing by the public, including any personally identifiable or confidential business information that is included in a comment. CMS posts all electronic comments received before the close of the comment period on its public Web site as soon as possible after they have been received. Hard copy comments received timely will be available for public inspection as they are received, generally beginning approximately 3 weeks after publication of a document, at the headquarters of the Centers for Medicare & Medicaid Services, 7500 Security Boulevard, Baltimore, Maryland 21244, Monday through Friday of each week from 8:30 a.m. to 4 p.m. To schedule an appointment to view public comments, phone 1-800-743-3951.

Table of Contents

I. Background

A. General and Legislative History

B. Overview of the Establishment of the IPF PPS

C. Applicability of the IPF PPS

II. Overview for Updating the IPF PPS

A. Requirements for Updating the IPF PPS

B. Proposed Updates to the IPF PPS

C. Transition Period for Implementation of the IPF PPS

III. Proposed Updates to the IPF PPS for Rate Year beginning July 1, 2006

A. Calculation of the Average Per Diem Cost

B. Determining the Standardized Budget-Neutral Federal Per Diem Rate

1. Standardization of the Federal Per Diem Base Rate

2. Calculation of the Budget Neutrality Adjustment

a. Outlier Adjustment

b. Stop-Loss Provision Adjustment

c. Behavioral Offset

3. Revision of Standardization Factor

C. Update of the Federal Per Diem Base Rate

1. Market Basket for IPFs Reimbursed under the IPF PPS

a. Proposed IPF Market Basket Index

b. Overview of the Proposed RPL Market Basket

2. Proposed Methodology for Operating Portion of the RPL Market Basket

3. Proposed Methodology for Capital Portion of the RPL Market Basket

4. Proposed Labor-Related Share

IV. Update of the IPF PPS Adjustment Factors

A. Overview of the IPF PPS Adjustment Factors

B. Proposed Patient-Level Adjustments

1. Proposed Adjustment for DRG Assignment

2. Proposed Payment for Comorbid Conditions

3. Proposed Patient Age Adjustment

4. Proposed Variable Per Diem Adjustment

C. Facility-Level Adjustments

1. Wage Index Adjustment

a. Proposed Revisions of the IPF PPS Geographic Classifications

b. Current IPF PPS Labor Market Areas Based on MSAs

c. Core-Based Statistical Areas

d. Proposed Revision of the IPF PPS Labor Market Areas

i. New England MSAs

ii. Metropolitan Divisions

iii. Micropolitan Areas

e. Implementation of the Proposed Revised Labor Market Area under the IPF PPS

f. Wage Index Budget Neutrality

1. Proposed Adjustment for Rural Location

2. Proposed Teaching Adjustment

3. Proposed Cost of Living Adjustment for IPFs Located in Alaska and Hawaii

4. Proposed Adjustment for IPFs with a Qualifying Emergency Department

a. Proposed New Source of Admission Code to Implement the ED Adjustment

b. Applicability of the ED Adjustment to IPFs in Critical Access Hospitals

D. Other Payment Adjustments and Policies

1. Outlier Payments

a. Proposed Update to the Outlier Fixed Dollar Loss Amount

b. Proposed Statistical Accuracy of Cost-to-Charge Ratio

2. Proposed Stop-loss Provision

3. Patients who Receive Electroconvulsive Therapy

4. Physician Certification and Recertification Requirements

5. Provisions of Therapeutic Recreation in IPFs

6. Same Day Transfers

V. Provisions of the Proposed Rule

VI. Collection of Information Requirements

VII. Regulatory Impact Analysis

Acronyms

Because of the many terms to which we refer by acronym in this proposed rule, we are listing the acronyms used and their corresponding terms in alphabetical order below:

BBA Balanced Budget Act of 1997, (Pub. L. 105-33)

BBRA Medicare, Medicaid and SCHIP [State Children's Health Insurance Program] Balanced Budget Refinement Act of 1999, (Pub. L. 106-113)

BIPA Medicare, Medicaid, and SCHIP [State Children's Health Insurance Program] Benefits Improvement and Protection Act of 2000, (Pub. L. 106-554)

CBSA Core-Based Statistical Areas

CCR Cost-to-charge ratio

CMS Centers for Medicare & Medicaid Services

CMSA Consolidated Metropolitan Statistical Area

DSM-IV-TR Diagnostic and Statistical Manual of Mental Disorders Fourth Edition—Text Revision

DRGs Diagnosis-related groups

FY Federal fiscal year

HCRIS Hospital Cost Report Information System

ICD-9-CM International Classification of Diseases, 9th Revision, Clinical Modification

IPFs Inpatient psychiatric facilities

IRFs Inpatient rehabilitation facilities

LTCHs Long-term care hospitals

MedPAR Medicare provider analysis and review file

MMA Medicare Prescription Drug, Improvement and Modernization Act of 2003, (Pub. L. 108-173)

MSA Metropolitan Statistical Area

NECMA New England County Metropolitan Area

OMB Office of Management and Budget

PIP Periodic interim payments

RY Rate Year (July 1 through June 30)

TEFRA Tax Equity and Fiscal Responsibility Act of 1982, (Pub. L. 97-248)

I. Background

[If you choose to comment on issues in this section, please include the caption “BACKGROUND” at the beginning of your comments.]

A. General and Legislative History

The Congress directed implementation of a prospective payment system (PPS) for acute care hospitals with the enactment of Public Law 98-21. Section 601 of the Social Security Amendments of 1983 (Pub. L. 98-21) added a new section 1886(d) to the Social Security Act (the Act) that replaced the reasonable cost-based payment system for most hospital inpatient services with a PPS.

Although most hospital inpatient services became subject to the PPS, certain hospitals, including IPFs, inpatient rehabilitation facilities (IRFs), long term care hospitals (LTCHs), and children's hospitals were excluded from the PPS for acute care hospitals. These hospitals and units were paid their reasonable costs for inpatient services, subject to a per discharge limitation or target amount under the authority of the Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA), Public Law 97-248. The regulations implementing the TEFRA (reasonable cost-based) payment provisions are located at 42 CFR part 413. Cancer hospitals were added to the list of excluded hospitals by section 6004(a) of the Omnibus Budget Reconciliation Act of 1989, (Pub. L. 101-239).

The Congress enacted various provisions in the Balanced Budget Act of 1997 (BBA) (Pub. L. 105-33), the Medicare, Medicaid, and SCHIP (State Children's Health Insurance Program) Balanced Budget Refinement Act of 1999 (BBRA) (Pub. L. 106-113), and the Medicare, Medicaid, and SCHIP Benefits Improvement and Protection Act of 2000 (BIPA) (Pub. L. 106-554) to replace the reasonable cost-based method of reimbursement with a PPS for IRFs, LTCHs, and IPFs. Section 124 of the BBRA required implementation of the IPF PPS.

Section 124 of the BBRA mandated that the Secretary—(1) develop a per diem PPS for inpatient hospital services furnished in psychiatric hospitals and psychiatric units; (2) include in the PPS an adequate patient classification system that reflects the differences in patient resource use and costs among psychiatric hospitals and psychiatric units; (3) maintain budget neutrality; (4) permit the Secretary to require psychiatric hospitals and psychiatric units to submit information necessary for the development of the PPS; and (5) submit a report to the Congress describing the development of the PPS. Section 124 of the BBRA also required that the IPF PPS be implemented for cost reporting periods beginning on or after October 1, 2002.

Section 405(g)(2) of the Medicare Prescription Drug, Improvement, and Modernization Act of 2003 (MMA) (Pub. L. 108-173) extended the IPF PPS to distinct part psychiatric units of critical access hospitals (CAHs).

B. Overview of the Establishment of the IPF PPS

On November 28, 2003, we published a proposed rule in the Federal Register (68 FR 66920) that proposed to implement section 124 of the BBRA. In the November 15, 2004 Federal Register (69 FR 66922) our final rule implemented the IPF PPS for cost reporting periods beginning on or after January 1, 2005. Although section 124 of the BBRA directed that the IPF PPS be implemented for cost reporting periods beginning on or after October 1, 2002, we explained in the proposed and final rules that the creation of a PPS requires an extraordinary amount of lead-time to create a completely new payment system and that we were unable to perform the analysis required in time for an October 1, 2002 implementation, to ensure that a system based on CMS administrative data would fulfill the statutory mandate of section 124 of the BBRA. We explained that despite our best efforts, we could not engage in notice and comment rulemaking and achieve implementation of the IPF PPS by October 1, 2002.

The November 2004 final rule (hereinafter referred to as the IPF PPS final rule) established regulations for the IPF PPS under 42 CFR 412, subpart N.

The IPF PPS established the Federal per diem base rate for each patient day in an IPF derived from the national average daily routine operating, ancillary, and capital costs in IPFs in FY 2002. The average per diem cost was updated to the midpoint of the first year under the IPF PPS, standardized to account for the overall positive effects of the IPF PPS payment adjustments, and adjusted for budget neutrality. The Federal per diem payment under the IPF PPS is comprised of the Federal per diem base rate described above and certain patient and facility payment adjustments that were found in the regression analysis to be associated with statistically significant per diem cost differences (see 69 FR 66933 through 66936 for a description of the regression analysis). The patient-level adjustments include age, DRG assignment, comorbidities, and variable per diem adjustments to reflect the higher cost incurred in the early days of a psychiatric stay. Facility-level adjustments include adjustments for the IPF's wage index, rural location, teaching status, a cost of living adjustment for IPFs located in Alaska and Hawaii, and presence of a qualifying emergency department (ED). The IPF PPS provides additional payments for outlier cases, stop-loss protection which is applicable only during the IPF PPS transition period, includes special payment provisions for interrupted stays, and a per treatment adjustment for patients who undergo electroconvulsive therapy (ECT). We refer readers to the IPF PPS final rule for a comprehensive discussion of the research and data that supported the establishment of the IPF PPS.

On April 1, 2005, we published a correction to the IPF PPS final rule in the Federal Register (70 FR 16724). Any reference to the IPF PPS final rule in this proposed rule includes the provisions in the correction notice. We established a CMS website that contains useful information regarding the IPF PPS including the proposed rule, final rule, and the correction notice. The website URL is http://www.cms.hhs.gov/InpatientPsychFacilPPS/ and may be accessed to download or view publications and other information pertinent to the IPF PPS.

C. Applicability of the IPF PPS

The IPF PPS is applicable to freestanding psychiatric hospitals, including government-operated psychiatric hospitals, and distinct part psychiatric units of acute care hospitals and CAHs.

The regulations at § 412.402 define an IPF as a hospital that meets the requirements specified in § 412.22, § 412.23(a), § 482.60, § 482.61, and § 482.62, and units that meet the requirements specified in § 412.22, § 412.25, and § 412.27.

However, the following hospitals are paid under a special payment provision, as described in § 412.22(c) and, therefore, are not subject to the IPF PPS rules:

  • Veterans Administration hospitals.
  • Hospitals that are reimbursed under State cost control systems approved under 42 CFR part 403.
  • Hospitals that are reimbursed in accordance with demonstration projects specified in section 402(a) of Public Law 90-248 (42 U.S.C. 1395b-1) or section 222(a) of Public Law 92-603 (42 U.S.C. 1395b-1(note)).
  • Non-participating hospitals furnishing emergency services to Medicare beneficiaries.

II. Overview for Updating the IPF PPS

[If you choose to comment on issues in this section, please include the caption “OVERVIEW FOR UPDATING THE IPF PPS” at the beginning of your comments.]

A. Requirements for Updating the IPF PPS

Section 124 of the BBRA does not specify an update strategy for the IPF PPS and is broadly written to give the Secretary discretion in establishing an update methodology. Therefore, we reviewed the update approach used in other hospital PPSs (specifically, the IRF and LTCH PPS update methodologies). As a result of this analysis, we stated in the IPF PPS final rule (69 FR 66966) that we would implement the IPF PPS using the following update strategy—(1) calculate the final Federal per diem base rate to be budget neutral for the 18-month period (that is, January 1, 2005 through June 30, 2006); (2) use a July 1 through June 30 annual update cycle; and (3) allow the IPF PPS first update to be effective for discharges July 1, 2006 through June 30, 2007. In this proposed rule, we are proposing updates to the IPF PPS for the period of July 1, 2006 through June 30, 2007.

As explained in the IPF PPS final rule, we believe it is important to delay updating the adjustment factors derived from the regression analysis until we have IPF PPS data that include as much information as possible regarding the patient-level characteristics of the population that each IPF serves. For this reason, we do not intend to update the regression analysis and recalculate the Federal per diem base rate until we have analyzed 1 year of IPF PPS claims and cost report data (that is, no earlier than FY 2008). Until that analysis is complete, we stated our intention to publish a notice in the Federal Register each spring to update the IPF PPS as specified in § 412.428 to include:

  • A description of the methodology and data used to calculate the updated Federal per diem base payment amount.
  • The rate of increase factor as described in § 412.424(a)(2)(iii), which is based on the excluded hospital with capital market basket under the update methodology of 1886(b)(3)(B)(ii) of the Act for each year.
  • The best available hospital wage index and information regarding whether an adjustment to the Federal per diem base rate is needed to maintain budget neutrality.
  • Updates to the fixed dollar loss amount in order to maintain the appropriate outlier percentage.
  • Describe the ICD-9-CM coding and DRG classification changes discussed in the annual update to the hospital inpatient prospective payment system regulations.
  • Update the ECT adjustment by a factor specified by CMS.

B. Proposed Updates to the IPF PPS

As discussed above, we intended to publish a notice in the Federal Register in the spring of 2006 that would announce the updates to the IPF PPS in accordance with § 412.428 rather than update through rulemaking (69 FR 66966). However, since the implementation of the IPF PPS, a new market basket index was announced in the August 2005 IPPS final rule. We believe that this new market basket should be implemented in the IPF PPS as well in order to update the system using the best data available. Therefore, rather than publish a notice to update the IPF PPS in 2006, we are proposing changes in this proposed rule to give interested parties the opportunity to comment.

Furthermore, we indicated in the IPF PPS final rule (69 FR 66952) that we were not adopting the new labor market definitions developed by the OMB and adopted under the IPPS. Rather, we explained that we intended to use the metropolitan statistical areas (MSAs) developed by OMB in 1993 for the wage index under the IPF PPS. At the time we published the proposed IPF PPS rule, the 2003 MSA definitions had not been implemented for any Medicare programs. In addition, we indicated that we believe that the adoption of the new labor market area definitions may have a significant impact on the wage index applied to IPFs and associated payments and that we would assess the implications of the new MSA definitions on IPFs before proposing to adopt them.

We believe that IPFs should be afforded an opportunity to comment on the use of the new labor market definitions before we adopt them under the IPF PPS. For this reason also, we are publishing this proposed rule, rather than a notice, in order to give interested parties an opportunity to comment on the new labor market definitions (see section III.C.1. of this proposed rule).

C. Transition Period for Implementation of the IPF PPS

In the IPF PPS final rule, we established § 412.426 to provide for a 3-year transition period from reasonable cost-based reimbursement to full prospective payment for IPFs. New IPFs are paid 100 percent of the Federal per diem rate. However, for those IPFs that are transitioning to a new system, during the 3-year period as specified in the IPF PPS final rule, payment is based on an increasing percentage of the PPS payment and a decreasing percentage of each IPF's facility-specific TEFRA reimbursement rate. The blend percentages are as follows:

Table 1.—IPF PPS Final Rule Transition Blend Factors

Transition year Cost reporting periods beginning on or after TEFRA rate percentage IPF PPS Federal rate percentage
1 January 1, 2005 75 25
2 January 1, 2006 50 50
3 January 1, 2007 25 75
January 1, 2008 0 100

Changes to the blend percentages occur at the beginning of an IPF's cost reporting period. As a result, for discharges occurring during IPF cost reporting periods beginning in CY 2006, IPFs would receive a blended payment consisting of 50 percent of the facility-specific TEFRA payment and 50 percent of the IPF PPS payment amount. However, regardless of when an IPF's cost reporting year begins, the payment update we are proposing would be effective for discharges occurring on or after July 1, 2006 through June 30, 2007. We are not proposing any changes to the transition approach established in the IPF PPS final rule.

III. Proposed Updates to the IPF PPS for Rate Year beginning July 1, 2006

The IPF PPS is based on a standardized Federal per diem base rate calculated from IPF average per diem costs and adjusted for budget-neutrality in the implementation year. The Federal per diem base rate is used as the standard payment per day under the IPF PPS and is adjusted by the applicable wage index factor and the patient-level and facility-level adjustments that are applicable to the IPF stay.

The following is an explanation of how we calculated the Federal per diem base rate and the standardization and budget neutrality factors as described in the IPF PPS final rule.

A. Calculation of the Average Per Diem Cost

[If you choose to comment on issues in this section, please include the caption “PER DIEM COST” at the beginning of your comments.]

As indicated in the IPF PPS final rule, to calculate the Federal per diem base rate, we estimated the average cost per day for—(1) routine services from FY 2002 cost reports (supplemented with FY 2001 cost reports if the FY 2002 cost report was missing); and (2) ancillary services using data from the FY 2002 Medicare claims and corresponding data from facility cost reports.

For routine services, the per diem operating and capital costs were used to develop the average per diem cost amount. The per diem routine costs were obtained from each facility's Medicare cost report. To estimate the costs for routine services included in the Federal per diem base rate calculation, we added the total routine costs (including costs for capital) submitted on the cost report for each provider and divided it by the total Medicare days.

Some average routine costs per day were determined to be aberrant, that is, the costs were extraordinarily high or low and most likely contained data errors. We provided a detailed discussion in the IPF PPS final rule (69 FR 66926 through 66927) of the method used to trim extraordinarily high or low cost values from the per diem rate development file in order to improve the accuracy of our results. For ancillary services, we calculated the costs by converting charges from the FY 2002 Medicare claims into costs using facility-specific, cost-center specific cost-to-charge ratios obtained from each provider's applicable cost reports. We matched each provider's departmental cost-to-charge ratios from their Medicare cost report to each charge on their claims reported in the MedPAR file. Multiplying the total charges for each type of ancillary service by the corresponding cost-to-charge ratio provided an estimate of the costs for all ancillary services received by the patient during the stay. We determined the average ancillary amount per day by dividing the total ancillary costs for all stays by the total number of covered Medicare days.

Adding the average ancillary costs per day and the average routine costs per day including capital costs provided the estimated average per diem cost for each patient day of inpatient psychiatric care in FY 2002.

B. Determining the Standardized Budget-Neutral Federal Per Diem Base Rate

[If you choose to comment on issues in this section, please include the caption “BUDGET NEUTRAL BASE RATE” at the beginning of your comments.]

Section 124(a)(1) of the BBRA requires that the implementing IPF PPS be budget neutral. In other words, the amount of total payments under the IPF PPS, including any payment adjustments, must be projected to be equal to the amount of total payments that would have been made if the IPF PPS were not implemented. Therefore, in the IPF PPS final rule, we calculated the budget-neutrality factor by setting the total estimated IPF PPS payments to be equal to the total estimated payments that would have been made under the TEFRA methodology had the IPF PPS not been implemented. The IPF PPS final rule includes a step-by-step description of the methodology we used to estimate payments under the TEFRA payment system (69 FR 66930). For the IPF PPS methodology, we calculated the final Federal per diem base rate to be budget neutral during the implementation period under the IPF PPS using a July 1 update cycle. Thus, the implementation period for the IPF PPS is the 18-month period January 1, 2005 through June 30, 2006.

We updated the average cost per day to the midpoint of the IPF PPS implementation period (that is, October 1, 2005). We used the most recent projection of the full percentage increase in the 1997-based excluded hospital with capital market basket index for FY 2003 and later in accordance with § 413.40(c)(3)(viii). The updated average cost per day of $724.43 was used in the payment model to establish the budget neutrality adjustment.

1. Standardization of the Federal Per Diem Base Rate

In the IPF PPS final rule, we standardized the IPF PPS Federal per diem base rate in order to account for the overall positive effects of the IPF PPS payment adjustment factors. To standardize the IPF PPS payments, we compared the IPF PPS payment amounts calculated from the psychiatric stays in the FY 2002 MedPAR file to the projected TEFRA payments from the FY 2002 cost report file updated to the midpoint of the IPF PPS implementation period (that is October 2005). The standardization factor was calculated by dividing total estimated payments under the TEFRA payment system by estimated payments under the IPF PPS. The standardization factor was calculated to be 0.8367. As a result, in the IPF PPS final rule, the $724.43 average cost per day was reduced by 16.33 percent (100 percent minus 83.67 percent).

2. Calculation of the Budget Neutrality Adjustment

To compute the budget neutrality adjustment for the IPF PPS, we separately identified each component of the adjustment, that is, the outlier adjustment, stop-loss adjustment, and behavioral offset.

a. Outlier Adjustment

Since the IPF PPS payment amount for each IPF includes applicable outlier amounts, we reduced the standardized Federal per diem base rate to account for aggregate IPF PPS payments estimated to be made as outlier payments. The appropriate outlier amount was determined by comparing the adjusted prospective payment for the entire stay to the computed cost per case. If costs were above the prospective payment plus the adjusted fixed dollar loss threshold amount, an outlier payment was computed using the applicable risk-sharing percentages, as explained in greater detail in section IV.D.1 of this proposed rule. The outlier amount was computed for all stays, and the total outlier amount was added to the final IPF PPS payment. The outlier adjustment was calculated to be 2 percent. As a result, the standardized Federal per diem base rate was reduced by 2 percent to account for projected outlier payments.

b. Stop-Loss Provision Adjustment

As explained in the IPF PPS final rule, we provide a stop-loss payment to ensure that an IPF's total PPS payments are no less than a minimum percentage of their TEFRA payment, had the IPF PPS not been implemented. We reduced the standardized Federal per diem base rate by the percentage of aggregate IPF PPS payments estimated to be made for stop-loss payments.

The stop-loss payment amount was determined by comparing aggregate prospective payments that the provider would receive under the IPF PPS to aggregate TEFRA payments that the provider would have otherwise received without implementation of the IPF PPS. If an IPF's aggregate IPF PPS payments are less than 70 percent of its aggregate payments under TEFRA, a stop-loss payment was computed for that IPF. The stop-loss payment amounts were computed for those IPFs that were projected to receive the payments, and the total amount was added to the final IPF PPS payment amount. As a result, the standardized Federal per diem base rate was reduced by 0.39 percent in order to maintain budget neutrality in the IPF PPS.

c. Behavioral Offset

As explained in the IPF PPS final rule, implementation of the IPF PPS may result in certain changes in IPF practices especially with respect to coding for comorbid medical conditions. As a result, Medicare may incur higher payments than assumed in our calculations. Accounting for these effects through an adjustment is commonly known as a behavioral offset.

Based on accepted actuarial practices and consistent with the assumptions made in other prospective payment systems, we assumed in determining the behavioral offset that IPFs would regain 15 percent of potential “losses” and augment payment increases by 5 percent. We applied this actuarial assumption, which is based on our historical experience with new payment systems, to the estimated “losses” and “gains” among the IPFs. The behavioral offset for the IPF PPS was calculated to be 2.66 percent. As a result, we reduced the standardized Federal per diem base rate by 2.66 percent to maintain budget neutrality.

To summarize, the $724.43 updated average per diem cost was reduced by 16.33 percent to account for standardization to projected TEFRA per diem payments for the implementation period, by 2 percent to account for outlier payments, by 0.39 percent to account for stop-loss payments, and by 2.66 percent reduction to account for the behavioral offset. The final standardized budget-neutral Federal per diem base rate for the IPF PPS implementation year was calculated to be $575.95. We discuss the Federal per diem base rate for RY 2007 in section III B.3. of this proposed rule.

3. Revision of Standardization Factor

In reviewing the methodology used to simulate the IPF PPS payments used for the IPF PPS final rule, we discovered that the computer code incorrectly assigned non-teaching status to most teaching facilities. As a result, total IPF PPS payments were underestimated by about 1.36 percent. The IPF PPS estimated payment total was used in calculating the IPF PPS standardization factor. The standardization factor indicates the proportion by which the IPF PPS per diem payment rate and the ECT rate must be reduced in order to make total IPF PPS payments equal to estimated total TEFRA payments assuming IPFs continued to be paid solely under TEFRA for the first PPS payment year. The standardization factor is calculated as the ratio of estimated total TEFRA payments to estimated total IPF PPS payments assuming no reduction to the per diem and ECT payment rates. Since the IPF PPS payment total should have been larger than the estimated figure, the standardization factor should have been smaller (0.8254 vs. 0.8367). In turn, the per diem rate and the ECT rate should have been reduced by 0.8254 instead of 0.8367.

To resolve this issue, we are proposing to amend the Federal per diem base rate prospectively. Using the standardization factor of 0.8254, the base rate should have been $568.17 for the implementation year of the IPF PPS. It is this base rate that we propose to update using the market basket rate of increase of 4.5 percent and the budget-neutral wage index factor of 1.00156 (as discussed in section IV.C.1.f. of this proposed rule). Applying these factors yields a proposed Federal per diem base rate of $594.66 for the rate year (RY) beginning July 1, 2006 through June 30, 2007.

C. Update of the Federal Per Diem Base Rate

[If you choose to comment on issues in this section, please include the caption “UPDATE ON PER DIEM BASE RATE” at the beginning of your comments.]

1. Market Basket for IPFs Reimbursed under the IPF PPS

a. Proposed IPF Market Basket Index

The market basket index used to develop the IPF PPS is the excluded hospital with capital market basket. This market basket was based on 1997 Medicare cost report data and includes data for Medicare participating IPFs, IRFs, LTCHs, cancer, and children's hospitals.

We are presently unable to create a separate market basket specifically for psychiatric hospitals due to the small number of facilities and the limited data that are provided (for instance, approximately 4 percent of psychiatric facilities reported contract labor cost data for 2002). However, since all IRFs, LTCHs, and IPFs are now paid under a PPS, we are proposing to update PPS payments made under the IRF PPS, the LTCH PPS, and the IPF PPS, in their respective Federal Register updates, using a market basket reflecting the operating and capital cost structures for IRFs, IPFs, and LTCHs, hereafter referred to as the RPL (rehabilitation, psychiatric, long-term care) market basket. We are excluding children's and cancer hospitals from the RPL market basket because their payments are based entirely on reasonable costs subject to rate-of-increase limits established under the authority of section 1886(b) of the Act, which is implemented in § 413.40 of the regulations. They are not reimbursed under a PPS. Also, the FY 2002 cost structures for children's and cancer hospitals are noticeably different than the cost structures of the IRFs, IPFs, and LTCHs.

The services offered in IRFs, IPFs, and LTCHs are typically more labor-intensive than those offered in cancer and children's hospitals. Therefore, the compensation cost weights for IRFs, IPFs, and LTCHs are larger than those in cancer and children's hospitals. In addition, the depreciation cost weights for IRFs, IPFs, and LTCHs are noticeably smaller than those for children's and cancer hospitals.

In the following discussion, we provide an overview on the market basket and describe the methodologies we propose to use for purposes of determining the operating and capital portions of the proposed FY 2002-based RPL market basket.

b. Overview of the Proposed RPL Market Basket

The proposed RPL market basket is a fixed weight, Laspeyres-type price index that is constructed in three steps. First, a base period is selected (in this case, FY 2002) and total base period expenditures are estimated for a set of mutually exclusive and exhaustive spending categories based upon type of expenditure. Then the proportion of total costs that each category represents is determined. These proportions are called cost or expenditure weights. Second, each expenditure category is matched to an appropriate price or wage variable, referred to as a price proxy. In nearly every instance, these price proxies are price levels derived from publicly available statistical series that are published on a consistent schedule, preferably at least on a quarterly basis.

Finally, the expenditure weight for each cost category is multiplied by the level of its respective price proxy for a given period. The sum of these products (that is, the expenditure weights multiplied by their price levels) for all cost categories yields the composite index level of the market basket in a given period. Repeating this step for other periods produces a series of market basket levels over time. Dividing an index level for a given period by an index level for an earlier period produces a rate of growth in the input price index over that time period.

A market basket is described as a fixed-weight index because it answers the question of how much it would cost, at another time, to purchase the same mix of goods and services purchased to provide hospital services in a base period. The effects on total expenditures resulting from changes in the quantity or mix of goods and services (intensity) purchased subsequent to the base period are not measured. In this manner, the market basket measures only pure price change. Only when the index is rebased would the quantity and intensity effects be captured in the cost weights. Therefore, we rebase the market basket periodically so that cost weights reflect changes in the mix of goods and services that hospitals purchase (hospital inputs) to furnish patient care between base periods.

The terms rebasing and revising, while often used interchangeably, actually denote different activities. Rebasing means moving the base year for the structure of costs of an input price index (for example, shifting the base year cost structure from FY 1997 to FY 2002). Revising means changing data sources, methodology, or price proxies used in the input price index. We propose to rebase and revise the market basket used to update the IPF PPS.

2. Proposed Methodology for Operating Portion of the RPL Market Basket

The operating portion of the proposed FY 2002-based RPL market basket consists of several major cost categories derived from the FY 2002 Medicare cost reports for IRFs, IPFs, and LTCHs: wages, drugs, professional liability insurance, and a residual. We choose to use FY 2002 as the base year because we believe this is the most recent, complete year of Medicare cost report data and is consistent with the data year on which the IPF PPS is based. Due to insufficient Medicare cost report data for IRFs, IPFs, and LTCHs, we propose to develop cost weights for benefits, contract labor, and blood and blood products using the FY 2002-based IPPS market basket (70 FR 23384), which we explain in more detail later in this section. For example, less than 30 percent of IRFs, IPFs, and LTCHs reported benefit cost data in FY 2002. We have noticed an increase in cost data for these expense categories over the last 4 years. The next time we rebase the RPL market basket there may be sufficient IRFs, IPFs, and LTCHs cost report data to develop the weights for these expenditure categories.

Since the cost weights for the RPL market basket are based on facility costs, we are proposing to limit our sample to hospitals with a Medicare average length of stay (LOS) within a comparable range of the total facility average LOS. We believe this provides a more accurate reflection of the structure of costs for Medicare covered days. Our goal is to measure cost shares that are reflective of case mix and practice patterns associated with providing services to Medicare beneficiaries.

We propose to use those cost reports for IRFs and LTCHs whose Medicare average LOS is within 15 percent (that is, 15 percent higher or lower) of the total facility average LOS for the hospital. This is the same edit applied to the FY 1992-based and FY 1997-based excluded hospital with capital market basket. We are proposing 15 percent because it includes those LTCHs and IRFs whose Medicare LOS is within approximately 5 days of the facility LOS.

However, we are proposing to use a less stringent measure of Medicare LOS for IPFs whose average LOS is within 30 or 50 percent (depending on the total facility average LOS) of the total facility average LOS. Using this less stringent edit allows us to increase our sample size by over 150 cost reports and produce a cost weight more consistent with the overall facility. The edit we applied to IPFs when developing the FY 1997-based excluded hospital with capital market basket was based on the best available data at the time.

The detailed cost categories under the residual (that is, the remaining portion of the market basket after excluding wages and salaries, drugs, and professional liability cost weights) are derived from the FY 2002-based IPPS market basket and the 1997 Benchmark Input-Output (I-O) Tables published by the Bureau of Economic Analysis, U.S. Department of Commerce. The FY 2002-based IPPS market basket was developed using FY 2002 Medicare hospital cost reports with the most recent and detailed cost data (see the IPPS final rule in the August 12, 2005 Federal Register (70 FR 47388)). The 1997 Benchmark I-O is the most recent, comprehensive source of cost data for all hospitals. The proposed RPL cost weights for benefits, contract labor, and blood and blood products were derived using the FY 2002-based IPPS market basket. For example, the ratio of the benefit cost weight to the wages and salaries cost weight in the FY 2002-based IPPS market basket was applied to the RPL wages and salaries cost weight to derive a benefit cost weight for the RPL market basket. The remaining proposed RPL operating cost categories were derived using the 1997 Benchmark I-O Tables, aged to 2002 using relative price changes. (The methodology we used to age the data involves applying the annual price changes from the price proxies to the appropriate cost categories. We repeat this practice for each year.) Therefore, using this methodology, roughly 59 percent of the proposed RPL market basket is accounted for by wages, drugs, and professional liability insurance data from FY 2002 Medicare cost report data for IRFs, LTCHs, and IPFs.

Table 2 below sets forth the complete proposed 2002-based RPL market basket including cost categories, weights, and price proxies. For comparison purposes, the corresponding FY 1997-based excluded hospital with capital market basket is listed as well.

Wages and salaries are 52.895 percent of total costs in the proposed FY 2002-based RPL market basket compared to 47.335 percent for the FY 1997-based excluded hospital with capital market basket. Employee benefits are 12.982 percent in the proposed FY 2002-based RPL market basket compared to 10.244 percent for the FY 1997-based excluded hospital with capital market basket. As a result, compensation costs (wages and salaries plus employee benefits) for the proposed FY 2002-based RPL market basket are 65.877 percent of costs compared to 57.579 percent for the FY 1997-based excluded hospital with capital market basket. Of the 8 percentage-point difference between the compensation shares, approximately 3 percentage points are due to the proposed new base year (FY 2002 instead of FY 1997), 3 percentage points are due to revised length of stay edit, and the remaining 2 percentage points are due to the proposed exclusion of other hospitals (that is, only including IPFs, IRFs, and LTCHs in the market basket).

Following the table is a summary outlining the choice of the proxies we propose to use for the operating portion of the market basket. The price proxies for the capital portion are described in more detail in the capital methodology section (see section III.C.3 of this proposed rule).

Table 2.—Proposed FY 2002-Based RPL Market Basket Cost Categories, Weights, and Proxies With FY 1997-Based Excluded Hospital With Capital Market Basket Used for Comparison

Expense categories FY 1997-based excluded hospital with capital market basket Proposed FY 2002-based RPL market basket Proposed FY 2002 RPL market basket price proxies
Total 100.000 100.000
Compensation 57.579 65.877
Wages and Salaries* 47.335 52.895 ECI-Wages and Salaries, Civilian Hospital Workers.
Employee Benefits* 10.244 12.982 ECI-Benefits, Civilian Hospital Workers.
Professional Fees, Non-Medical 4.423 2.892 ECI-Compensation for Professional, Specialty & Technical Workers.
Utilities 1.180 0.656
Electricity 0.726 0.351 PPI-Commercial Electric Power.
Fuel Oil, Coal, etc. 0.248 0.108 PPI-Refined Petroleum Products.
Water and Sewage 0.206 0.197 CPI-U—Water & Sewage Maintenance.
Professional Liability Insurance 0.733 1.161 CMS Professional Liability Premium Index.
All Other Products and Services 27.117 19.265
All Other Products 17.914 13.323
Pharmaceuticals 6.318 5.103 PPI Prescription Drugs.
Food: Direct Purchase 1.122 0.873 PPI Processed Foods & Feeds.
Food: Contract Service 1.043 0.620 CPI-U Food Away From Home.
Chemicals 2.133 1.100 PPI Industrial Chemicals.
Blood and Blood Products** 0.748
Medical Instruments 1.795 1.014 PPI Medical Instruments & Equipment.
Photographic Supplies 0.167 0.096 PPI Photographic Supplies.
Rubber and Plastics 1.366 1.052 PPI Rubber & Plastic Products.
Paper Products 1.110 1.000 PPI Converted Paper & Paperboard Products.
Apparel 0.478 0.207 PPI Apparel.
Machinery and Equipment 0.852 0.297 PPI Machinery & Equipment.
Miscellaneous 0.783 1.963 PPI Finished Goods less Food & Energy.
All Other Services 9.203 5.942
Telephone 0.348 0.240 CPI-U Telephone Services.
Postage 0.702 0.682 CPI-U Postage.
All Other: Labor Intensive 4.453 2.219 ECI-Compensation for Intensive Private Service Occupations.
All Other: Non-labor Intensive 3.700 2.800 CPI-U All Items.
Capital-Related Costs 8.968 10.149
Depreciation 5.586 6.186
Fixed Assets 3.503 4.250 Boeckh Institutional Construction 23-year useful life.
Movable Equipment 2.083 1.937 WPI Machinery & Equipment 11-year useful life.
Interest Costs 2.682 2.775
Nonprofit 2.280 2.081 Average yield on domestic municipal bonds (Bond Buyer 20 bonds) vintage- weighted (23 years).
For Profit 0.402 0.694 Average yield on Moody's Aaa bonds vintage weighted (23 years).
Other Capital-Related Costs 0.699 1.187 CPI-U Residential Rent.
* Labor-related.
** Blood and blood-related products is included in miscellaneous products.
Note: Due to rounding, weights may not sum to total.

Below we provide the proxies that we are proposing to use for the FY 2002-based RPL market basket. With the exception of the Professional Liability proxy, all the proposed price proxies for the operating portion of the proposed RPL market basket are based on Bureau of Labor Statistics (BLS) data and are grouped into one of the following BLS categories:

  • Producer Price Indexes—Producer Price Indexes (PPIs) measure price changes for goods sold in other than retail markets. PPIs are preferable price proxies for goods that hospitals purchase as inputs in producing their outputs because the PPIs better reflect the prices faced by hospitals. For example, we use a special PPI for prescription drugs, rather than the Consumer Price Index (CPI) for prescription drugs because hospitals generally purchase drugs directly from the wholesaler. The PPIs that we use measure price change at the final stage of production.
  • Consumer Price Indexes—Consumer Price Indexes (CPIs) measure change in the prices of final goods and services bought by the typical consumer. Because they may not represent the price faced by a producer, we use CPIs only if an appropriate PPI is not available, or if the expenditures are more similar to those of retail consumers in general rather than purchases at the wholesale level. For example, the CPI for food purchases away from home is used as a proxy for contracted food services.
  • Employment Cost Indexes—Employment Cost Indexes (ECIs) measure the rate of change in employee wage rates and employer costs for employee benefits per hour worked. These indexes are fixed-weight indexes and strictly measure the change in wage rates and employee benefits per hour. Appropriately, they are not affected by shifts in employment mix.

We evaluated the price proxies using the criteria of reliability, timeliness, availability, and relevance. Reliability indicates that the index is based on valid statistical methods and has low sampling variability. Timeliness implies that the proxy is published regularly, preferably at least once a quarter. Availability means that the proxy is publicly available. Finally, relevance means that the proxy is applicable and representative of the cost category weight to which it is applied. The CPIs, PPIs, and ECIs selected by us to be proposed in this regulation meet these criteria.

We note that the proxies are the same as those used for the FY 1997-based excluded hospital with capital market basket. Because these proxies meet our criteria of reliability, timeliness, availability, and relevance, we believe they continue to be the best measure of price changes for the cost categories. For further discussion on the FY 1997-based excluded hospital with capital market basket, see the IPPS final rule published in the Federal Register on August 1, 2002 (67 FR at 50042).

Wages and Salaries

For measuring the price growth of wages in the proposed FY 2002-based RPL market basket, we propose to use the ECI for wages and salaries for civilian hospital workers as the proxy for wages in the RPL market basket.

Employee Benefits

The proposed FY 2002-based RPL market basket uses the ECI for employee benefits for civilian hospital workers.

Nonmedical Professional Fees

The ECI for compensation for professional and technical workers in private industry would be applied to this category since it includes occupations such as management and consulting, legal, accounting, and engineering services.

Fuel, Oil, and Gasoline

The percentage change in the price of gas fuels as measured by the PPI (Commodity Code #0552) would be applied to this component.

Electricity

The percentage change in the price of commercial electric power as measured by the PPI (Commodity Code #0542) would be applied to this component.

Water and Sewage

The percentage change in the price of water and sewage maintenance as measured by the Consumer Price Index (CPI) for all urban consumers (CPI Code #CUUR0000SEHG01) would be applied to this component.

Professional Liability Insurance

The proposed FY 2002-based RPL market basket would use the percentage change in hospital professional liability insurance (PLI) premiums as estimated by the CMS Hospital Professional Liability Index for the proxy of this category. In the FY 1997-based excluded hospital with capital market basket, the same proxy was used.

We continue to research options for improving our proxy for professional liability insurance. This research includes exploring various options for expanding our current survey, including the identification of another entity that would be willing to work with us to collect more complete and comprehensive data. We are also exploring other options such as third party or industry data that might assist us in creating a more precise measure of PLI premiums. At this time we have not identified a preferred option, therefore no change is proposed for the proxy in this proposed rule.

Pharmaceuticals

The percentage change in the price of prescription drugs as measured by the PPI (PPI Code #PPI32541DRX) would be used as a proxy for this cost category. This is a special index produced by BLS as a proxy in the 1997-based excluded hospital with capital market basket.

Food, Direct Purchases

The percentage change in the price of processed foods and feeds as measured by the PPI (Commodity Code #02) would be applied to this component.

Food, Contract Service

The percentage change in the price of food purchased away from home as measured by the CPI for all urban consumers (CPI Code #CUUR0000SEFV) would be applied to this component.

Chemicals

The percentage change in the price of industrial chemical products as measured by the PPI (Commodity Code #061) would be applied to this component. While the chemicals hospitals purchase include industrial as well as other types of chemicals, the industrial chemicals component constitutes the largest proportion by far. Thus we believe that Commodity Code #061 is the appropriate proxy.

Medical Instruments

The percentage change in the price of medical and surgical instruments as measured by the PPI (Commodity Code #1562) would be applied to this component.

Photographic Supplies

The percentage change in the price of photographic supplies as measured by the PPI Commodity Code #1542) would be applied to this component.

Rubber and Plastics

The percentage change in the price of rubber and plastic products as measured by the PPI (Commodity Code #07) would be applied to this component.

Paper Products

The percentage change in the price of converted paper and paperboard products as measured by the PPI (Commodity Code #0915) would be applied to this component.

Apparel

The percentage change in the price of apparel as measured by the PPI (Commodity Code #381) would be applied to this component.

Machinery and Equipment

The percentage change in the price of machinery and equipment as measured by the PPI (Commodity Code #11) would be applied to this component.

Miscellaneous Products

The percentage change in the price of all finished goods less food and energy as measured by the PPI (Commodity Code #SOP3500) would be applied to this component. Using this index would remove the double-counting of food and energy prices, which are captured elsewhere in the market basket. The weight for this cost category is higher, in part, than in the 1997-based index because the weight for blood and blood products (1.188) is added to it. In the 1997-based excluded hospital with capital market basket, we included a separate cost category for blood and blood products, using the BLS PPI for blood and derivatives as a price proxy. A review of recent trends in the PPI for blood and derivatives suggests that its movements may not be consistent with the trends in blood costs faced by hospitals. While this proxy did not match exactly with the product hospitals are buying, its trend over time appears to be reflective of the historical price changes of blood purchased by hospitals. However, an apparent divergence over recent years led us to reevaluate whether the PPI for blood and derivatives was an appropriate measure of the changing price of blood. We ran test market baskets classifying blood in three separate cost categories: blood and blood products, contained within chemicals as was done for the 1992-based excluded hospital with capital market basket, and within miscellaneous products. These categories use as proxies the following PPIs: The PPI for blood and blood products, the PPI for chemicals, and the PPI for finished goods less food and energy, respectively. Of these three proxies, the PPI for finished goods less food and energy moved most like the recent blood cost and price trends. In addition, the impact on the overall market basket by using different proxies for blood was negligible, mostly due to the relatively small weight for blood in the market basket.

Therefore, we are proposing to use the PPI for finished goods less food and energy for the blood proxy because we believe it more appropriately proxies the price changes (not quantities or required tests) associated with blood purchased by hospitals. We will continue to evaluate this proxy for its appropriateness and will explore the development of alternative price indexes to proxy the price changes associated with this cost.

Telephone

The percentage change in the price of telephone services as measured by the CPI for all urban consumers (CPI Code #CUUR0000SEED) would be applied to this component.

Postage

The percentage change in the price of postage as measured by the CPI for all urban consumers (CPI Code #CUUR0000SEEC01) would be applied to this component.

All Other Services, Labor Intensive

The percentage change in the ECI for compensation paid to service workers employed in private industry would be applied to this component.

All Other Services, Nonlabor Intensive

The percentage change in the all items component of the CPI for all urban consumers (CPI Code # CUUR0000SA0) would be applied to this component.

3. Proposed Methodology for Capital Portion of the RPL Market Basket

Unlike for the operating costs of the proposed FY 2002-based RPL market basket, we did not have IRF, IPF, and LTCH FY 2002 Medicare cost report data for the capital cost weights, due to a change in the FY 2002 reporting requirements. Rather, we used these hospitals' expenditure data for the capital cost categories of depreciation, interest, and other capital expenses for FY 2001, and aged the data to a FY 2002 base year using relevant price proxies.

We calculated weights for the proposed RPL market basket capital costs using the same set of Medicare cost reports used to develop the operating share for IRFs, IPFs, and LTCHs. The resulting proposed capital weight for the FY 2002 base year is 10.149 percent. This is based on FY 2001 Medicare cost report data for IRFs, IPFs, and LTCHs, aged to FY 2002 using relevant price proxies.

Lease expenses are not a separate cost category in the market basket, but are distributed among the cost categories of depreciation, interest, and other, reflecting the assumption that the underlying cost structure of leases is similar to capital costs in general. We assumed 10 percent of lease expenses are overhead and assigned them to the other capital expenses cost category as overhead. We base this assignment of 10 percent of lease expenses to overhead on the common assumption that overhead is 10 percent of costs. The remaining lease expenses were distributed to the three cost categories based on the weights of depreciation, interest, and other capital expenses not including lease expenses.

Depreciation contains two subcategories: building and fixed equipment and movable equipment. The split between building and fixed equipment and movable equipment was determined using the FY 2001 Medicare cost reports for IRFs, IPFs, and LTCHs. This methodology was also used to compute the 1997-based index (67 FR at 50044).

The total interest expense cost category is split between the government/nonprofit and for-profit hospitals. The 1997-based excluded hospital with capital market basket allocated 85 percent of the total interest cost weight to the government nonprofit interest, proxies by average yield on domestic municipal bonds, and 15 percent to for-profit interest, proxies by average yield on Moody's Aaa bonds.

We propose to derive the split using the relative FY 2001 Medicare cost report data for PPS hospitals on interest expenses for the government/nonprofit and for-profit hospitals. Due to insufficient Medicare cost report data for IPFs, IRFs, and LTCHs, we propose to use the same split used in the IPPS capital input price index. We believe it is important that this split reflect the latest relative cost structure of interest expenses for hospitals and, therefore, we propose to use a 75-25 split to allocate interest expenses to government/nonprofit and for-profit (70 FR at 47408).

Since capital is acquired and paid for over time, capital expenses in any given year are determined by both past and present purchases of physical and financial capital. The vintage-weighted capital index is intended to capture the long-term consumption of capital, using vintage weights for depreciation (physical capital) and interest (financial capital). These vintage weights reflect the purchase patterns of building and fixed equipment and movable equipment over time. Depreciation and interest expenses are determined by the amount of past and current capital purchases. Therefore we are proposing to use the vintage weights to compute vintage-weighted price changes associated with depreciation and interest expense.

Vintage weights are an integral part of the proposed FY 2002-based RPL market basket. Capital costs are inherently complicated and are determined by complex capital purchasing decisions, over time, based on such factors as interest rates and debt financing. In addition, capital is depreciated over time instead of being consumed in the same period it is purchased. The capital portion of the proposed FY 2002-based RPL market basket would reflect the annual price changes associated with capital costs, and would be a useful simplification of the actual capital investment process. By accounting for the vintage nature of capital, we are able to provide an accurate, stable annual measure of price changes. Annual non-vintage price changes for capital are unstable due to the volatility of interest rate changes and, therefore, do not reflect the actual annual price changes for Medicare capital-related costs. The capital component of the proposed FY 2002-based RPL market basket would reflect the underlying stability of the capital acquisition process and provide hospitals with the ability to plan for changes in capital payments.

To calculate the vintage weights for depreciation and interest expenses, we needed a time series of capital purchases for building and fixed equipment and movable equipment. We found no single source that provides the best time series of capital purchases by hospitals for all of the above components of capital purchases. The early Medicare Cost Reports did not have sufficient capital data to meet this need. While the American Hospital Association (AHA) Panel Survey provided a consistent database back to 1963, it did not provide annual capital purchases. However, the AHA Panel Survey provided a time series of depreciation expenses through 1997 which could be used to infer capital purchases over time. From 1998 to 2001, hospital depreciation expenses were calculated by multiplying the AHA Annual Survey total hospital expenses by the ratio of depreciation to total hospital expenses from the Medicare cost reports. Beginning in 2001, the AHA Annual Survey began collecting depreciation expenses. We hope to be able to use these data in future rebasings.

In order to estimate capital purchases from AHA data on depreciation and interest expenses, the expected life for each cost category (building and fixed equipment, movable equipment, and debt instruments) is needed. Due to insufficient Medicare cost report data for IPFs, IRFs, and LTCHs, we propose to use FY 2001 Medicare Cost Reports for IPPS hospitals to determine the expected life of building and fixed equipment and movable equipment. We believe this data source reflects the latest relative cost structure of depreciation expenses for hospitals and is analogous to IPFs, IRFs, and LTCHs. The expected life of any piece of equipment can be determined by dividing the value of the asset (excluding fully depreciated assets) by its current year depreciation amount. This calculation yields the estimated useful life of an asset if depreciation were to continue at current year levels, assuming straight-line depreciation. From the FY 2001 Medicare cost reports for IPPS hospitals the expected life of building and fixed equipment was determined to be 23 years, and the expected life of movable equipment was determined to be 11 years.

We also propose to use the fixed and movable weights derived from FY 2001 Medicare cost reports for IPFs, IRFs, and LTCHs to separate the depreciation expenses into annual amounts of building and fixed equipment depreciation and movable equipment depreciation. By multiplying the annual depreciation amounts by the expected life calculations from the FY 2001 Medicare cost reports, year-end asset costs for building and fixed equipment and movable equipment were determined. We then calculated a time series back to 1963 of annual capital purchases by subtracting the previous year asset costs from the current year asset costs. From this capital purchase time series we were able to calculate the vintage weights for building and fixed equipment, movable equipment, and debt instruments. An explanation of each of these sets of vintage weights follows.

For proposed building and fixed equipment vintage weights, the real annual capital purchase amounts for building and fixed equipment derived from the AHA Panel Survey were used. The real annual purchase amount was used to capture the actual amount of the physical acquisition, net of the effect of price inflation. This real annual purchase amount for building and fixed equipment was produced by deflating the nominal annual purchase amount by the building and fixed equipment price proxy, the Boeckh Institutional Construction Index. This is the same proxy used for the FY 1997-based excluded hospital with capital market basket. We believe this proxy continues to meet our criteria of reliability, timeliness, availability, and relevance. Since building and fixed equipment has an expected life of 23 years, the vintage weights for building and fixed equipment are deemed to represent the average purchase pattern of building and fixed equipment over 23-year periods. With real building and fixed equipment purchase estimates back to 1963, sixteen 23-year periods could be averaged to determine the average vintage weights for building and fixed equipment that are representative of average building and fixed equipment purchase patterns over time. Vintage weights for each 23-year period are calculated by dividing the real building and fixed capital purchase amount in any given year by the total amount of purchases in the 23-year period. This calculation is done for each year in the 23-year period, and for each of the sixteen 23-year periods. The average of each year across the sixteen 23-year periods is used to determine the 2002 average building and fixed equipment vintage weights.

For proposed movable equipment vintage weights, the real annual capital purchase amounts for movable equipment derived from the AHA Panel Survey were used to capture the actual amount of the physical acquisition, net of price inflation. This real annual purchase amount for movable equipment was calculated by deflating the nominal annual purchase amount by the movable equipment price proxy, the PPI for Machinery and Equipment. This is the same proxy used for the FY 1997-based excluded hospital with capital market basket. We believe this proxy, which meets our criteria, is the best measure of price changes for this cost category. Since movable equipment has an expected life of 11 years, the vintage weights for movable equipment are deemed to represent the average purchase pattern of movable equipment over an 11-year period. With real movable equipment purchase estimates available back to 1963, twenty-eight 11-year periods could be averaged to determine the average vintage weights for movable equipment that are representative of average movable equipment purchase patterns over time. Vintage weights for each 11-year period would be calculated by dividing the real movable capital purchase amount for any given year by the total amount of purchases in the 11-year period. This calculation is done for each year in the 11-year period, and for each of the twenty-eight 11-year periods. The average of the twenty-eight 11-year periods would be used to determine the FY 2002 average movable equipment vintage weights.

For proposed interest vintage weights, the nominal annual capital purchase amounts for total equipment (building and fixed and movable) derived from the AHA Panel and Annual Surveys were used. Nominal annual purchase amounts were used to capture the value of the debt instrument. Since hospital debt instruments have an expected life of 23 years, the vintage weights for interest are deemed to represent the average purchase pattern of total equipment over 23-year periods. With nominal total equipment purchase estimates available back to 1963, sixteen 23-year periods could be averaged to determine the average vintage weights for interest that are representative of average capital purchase patterns over time. Vintage weights for each 23-year period would be calculated by dividing the nominal total capital purchase amount for any given year by the total amount of purchases in the 23-year period. This calculation would be done for each year in the 23-year period and for each of the sixteen 23-year periods. The average of the sixteen 23-year periods would be used to determine the FY 2002 average interest vintage weights. The vintage weights for the index are presented in Table 3 below.

In addition to the price proxies for depreciation and interest costs described above in the vintage weighted capital section, we propose to use the CPI-U for Residential Rent as a price proxy for other capital-related costs. The price proxies for each of the capital cost categories are the same as those used for the IPPS final rule (67 FR at 50044) capital input price index.

Table 3.—Proposed CMS FY 2002-Based RPL Market Basket Capital Vintage Weights

Year Fixed assets (23 year weights) Movable assets (11 year weights) Interest: Capital-related (23 year weights)
1 0.021 0.065 0.010
2 0.022 0.071 0.012
3 0.025 0.077 0.014
4 0.027 0.082 0.016
5 0.029 0.086 0.019
6 0.031 0.091 0.023
7 0.033 0.095 0.026
8 0.035 0.100 0.029
9 0.038 0.106 0.033
10 0.040 0.112 0.036
11 0.042 0.117 0.039
12 0.045 0.043
13 0.047 0.048
14 0.049 0.053
15 0.051 0.056
16 0.053 0.059
17 0.056 0.062
18 0.057 0.064
19 0.058 0.066
20 0.060 0.070
21 0.060 0.071
22 0.061 0.074
23 0.061 0.076
Total 1.000 1.000 1.000

The proposed rate year (that is, beginning July 1, 2006) update for the IPF PPS using the proposed FY 2002-based RPL market basket and Global Insight's 3rd quarter 2005 forecast would be 4.5 percent. This reflects increases in both the operating and capital portions of the market basket from the 18-month period (that is, January 1, 2005 through June 30, 2006). Global Insight, Inc. is a nationally recognized economic and financial forecasting firm that contracts with CMS to forecast the components of the market baskets. Using the current FY 1997-based excluded hospital with capital market basket (66 FR 41427), Global Insight's 3rd quarter 2005 forecast for the proposed rate year beginning July 1, 2006 would be 4.5 percent. Table 4 below compares the proposed FY 2002-based RPL market basket and the FY 1997-based excluded hospital with capital market basket percent changes. For both the historical and forecasted periods between RY 2000 and RY 2008, the difference between the two market baskets is minor with the exception of RY 2002, where the proposed FY 2002-based RPL market basket increased three tenths of a percentage point higher than the FY 1997-based excluded hospital with capital market basket. This is primarily due to the proposed FY 2002-based RPL having a larger compensation (that is, the sum of wages and salaries and benefits) cost weight than the FY 1997-based index and the price changes associated with compensation costs increasing much faster than the prices of other market basket components. Also contributing is the “all other nonlabor intensive” cost weight, which is smaller in the proposed FY 2002-based RPL market basket than in the FY 1997-based index, as well as the slower price changes associated with these costs.

Table 4.—Proposed FY 2002-based RPL Market Basket and FY 1997-Based Excluded Hospital With Capital Market Basket, Percent Changes: 2000-2008

Rate year (RY) Proposed rebased FY 2002-based RPL market basket FY 1997-based excluded hospital market basket with capital
Historical data:
RY 2000 2.8 2.7
RY 2001 3.8 3.9
RY 2002 4.1 3.8
RY 2003 3.8 3.7
RY 2004 3.6 3.6
Average RY 2000-2004 3.6 3.5
Forecast:
RY 2005 3.8 3.9
RY 2006 3.7 3.8
RY 2007 3.6 3.6
RY 2008 3.5 3.5
Average RY 2005-2008 3.7 3.7
Source: Global Insight, Inc. 3rd Qtr 2005, @USMACRO/CNTL0905 @CISSIM/TL0805.SIM
Note: The RY forecasts are based on the standard 12-month period of July 1 to June 30. For this proposed rule, we are moving from an 18-month period to a 12-month period.

4. Proposed Labor-Related Share

As described in section IV.C.1 of this proposed rule, due to the variations in costs and geographic wage levels, we are proposing that payment rates under the IPF PPS continue to be adjusted by a geographic wage index. This wage index would apply to the labor-related portion of the proposed Federal per diem base rate, hereafter referred to as the labor-related share.

The labor-related share is determined by identifying the national average proportion of operating costs that are related to, influenced by, or vary with the local labor market. Using our current definition of labor-related, the labor-related share is the sum of the relative importance of wages and salaries, fringe benefits, professional fees, labor-intensive services, and a portion of the capital share from an appropriate market basket.

We are proposing to use the FY 2002-based RPL market basket costs to determine the proposed labor-related share for the IPF PPS. The proposed labor-related share for RY 2007 would be the sum of the proposed RY 2007 relative importance of each labor-related cost category, and would reflect the different rates of price change for these cost categories between the base year (FY 2002) and RY 2007. The sum of the proposed relative importance for RY 2007 for operating costs (wages and salaries, employee benefits, professional fees, and labor-intensive services) would be 71.845, as shown in Table 5 below. The portion of capital that is influenced by the local labor market would be estimated to be 46 percent, which is the same percentage used in the FY 1997-based IRF and IPF payment systems. Since the relative importance for capital would be 8.866 (RY 2007) percent of the proposed FY 2002-based RPL market basket in RY 2007, we are proposing to take 46 percent of 8.866 percent to determine the proposed labor-related share of capital for RY 2007. The result would be 4.078 percent, which we propose to add to 71.845 percent for the operating cost amount to determine the total proposed labor-related share for RY 2007. Thus, the labor-related share that we propose to use for IPF PPS in RY 2007 would be 75.923 percent. This proposed labor-related share is determined using the same methodology as employed in calculating all previous IPF labor-related shares (69 FR at 66952).

Table 5 below shows the proposed RY 2007 relative importance labor-related share using the proposed FY 2002-based RPL market basket and the FY 1997-based excluded hospital with capital market basket. We note that the revised and rebased labor-related share would benefit those hospitals with a wage index greater than or equal to 1.000.

Table 5.—Total Labor-Related Share—Relative Importance for RY 2007

Cost category FY 2002-based RPL market basket relative importance (Percent) RY 2007 FY 1997 excluded hospital with capital market basket relative importance (Percent) RY 2007
Wages and salaries 52.761 48.301
Employee benefits 14.008 11.517
Professional fees 2.903 4.527
All other labor-intensive services 2.173 4.457
Subtotal 71.845 68.802
Labor-related share of capital costs 4.078 3.225
Total 75.923 72.027

IPFs Paid Based on a Blend of the Reasonable Cost-based Payments

Under the broad authority of sections 1886(b)(3)(A) and (b)(3)(B) of the Act and as stated in the FY 2006 IPPS final rule (70 FR 47399), for IPFs that are transitioning to the fully Federal prospective payment rate, we are now using the rebased and revised FY 2002-based excluded hospital market basket to update the reasonable cost-based portion of their payments. We rebase the market basket periodically so that the cost weights reflect changes in the mix of goods and services that hospitals purchase to furnish inpatient care between base periods. We chose FY 2002 as the base year for the excluded hospital market basket because we believe this is the most recent, complete year of Medicare cost report data.

The reasonable cost-based payments, subject to TEFRA limits, are determined on a FY basis. For purposes of the update factor for FY 2006, the portion of the IPF PPS transitional blend payment based on reasonable costs was determined by updating the IPF's TEFRA limit by the FY 2002-based excluded hospital market basket (or 3.8 percent) (70 FR 47691).

As discussed in section III.B.3 of this proposed rule, the proposed Federal per diem base rate is $594.66 for the RY beginning July 1, 2006 and ending June 30, 2007.

IV. Update of the IPF PPS Adjustment Factors

[If you choose to comment on issues in this section, please include the caption “ADJUSTMENT FACTORS” at the beginning of your comments.]

A. Overview of the IPF PPS Adjustment Factors

In developing the IPF PPS, in order to ensure that the IPF PPS would be able to account adequately for each IPF's case-mix, we performed an extensive regression analysis of the relationship between the per diem costs and certain patient and facility characteristics to determine those characteristics associated with statistically significant cost differences on a per diem basis. For characteristics with statistically significant cost differences, we used the regression coefficients of those variables to determine the size of the corresponding payment adjustments.

The IPF PPS payment adjustments were derived from a regression analysis of 100 percent of the FY 2002 MedPAR data file which contained 483,038 cases. We propose to use the same results of this regression analysis for this proposed rule. For a more detailed description of the data file used for the regression analysis, see the IPF PPS final rule.

We computed a per diem cost for each Medicare inpatient psychiatric stay, including routine operating, ancillary, and capital components using information from the FY 2002 MedPAR file and data from the FY 2002 Medicare cost reports. To calculate the cost per day for each inpatient psychiatric stay, routine costs were estimated by multiplying the routine cost per day from the IPF's FY 2002 Medicare cost report by the number of Medicare covered days on the FY 2002 MedPAR stay record. Ancillary costs were estimated by multiplying each departmental cost-to-charge ratio by the corresponding ancillary charges on the MedPAR stay record. The total cost per day was calculated by summing routine and ancillary costs for the stay and dividing it by the number of Medicare covered days for each day of the stay.

As discussed in more detail in section IV.C.5 of this proposed rule, the IPF PPS includes a payment adjustment for IPFs with qualifying Emergency Departments (EDs), and IPFs that are part of acute care hospitals and CAHs with qualifying EDs. As a result, ED costs were excluded from the dependent variable used in the cost regression in order to remove the effects of ED costs from other payment adjustment factors with which ED costs may be correlated and thus avoid overpaying ED costs.

The log of per diem cost, like most health care cost measures, appeared to be normally distributed. Therefore, the natural logarithm of the per diem cost was the dependent variable in the regression analysis. We included variables in the regression to control for psychiatric hospitals that do not bill ancillary costs and for ECT costs that we pay separately. The per diem cost was adjusted for differences in labor cost across geographic areas using the FY 2005 hospital wage index unadjusted for geographic reclassifications, in order to be consistent with our use of the market basket labor share in applying the wage index adjustment.

As discussed in the IPF PPS final rule (69 FR 66936), we computed a wage adjustment factor for each case by multiplying the Medicare 2005 hospital wage index based on MSA definitions defined by OMB in 1993 for each facility by the labor-related share and adding the non-labor share. We used the 1997-based excluded hospital with capital market basket to determine the labor-related share. The per diem cost for each case was divided by this factor before taking the natural logarithm. The payment adjustment for the wage index was computed consistently with the wage adjustment factor, which is equivalent to separating the per diem cost into a labor portion and a non-labor portion and adjusting the labor portion by the wage index.

With the exception of the teaching adjustment, the independent variables were specified as one or more categorical variables. Once the regression model was finalized based on the log normal variables, the regression coefficients for these variables were converted to payment adjustment factors by treating each coefficient as an exponent of the base “e” for natural logarithms, which is approximately equal to 2.718. The payment adjustment factors represent the proportional effect of each variable relative to a reference variable. As a result of the regression analysis, we established patient-level payment adjustments for age, DRG assignment based on patients' principal diagnoses, selected comorbidities, and a day of stay adjustment (the variable per diem adjustments) to reflect higher resource use in the early days of an IPF stay. We also established facility-level payment adjustments for wage area, rural location, teaching status, cost of living adjustment for IPFs located in Alaska and Hawaii, and an adjustment for IPFs with a qualifying ED. We do not intend to update the regression analysis until we can analyze 1 year of IPF PPS claims and cost report data (that is, no earlier than RY 2008). CMS plans to monitor claims and payment data independently from cost report data to assess issues, or whether changes in case-mix or payment shifts have occurred between free-standing governmental, non-profit, and private psychiatric hospitals, and/or psychiatric units of general hospital, and other impact issues of importance to psychiatric facilities.

B. Proposed Patient-Level Adjustments

[If you choose to comment on issues in this section, please include the caption “PATIENT-LEVEL ADJUSTMENTS” at the beginning of your comments.]

We provided payment adjustments for the following payment-level characteristics in the IPF PPS final rule: DRG assignment of the patient's principal diagnosis, selected comorbidities, patient age, and the variable per diem adjustments.

1. Proposed Adjustment for DRG Assignment

The IPF PPS includes payment adjustments for the psychiatric DRG assigned to the claim based on each patient's principal diagnosis. In the IPF PPS final rule, we explained that the IPF PPS includes 15 diagnosis-related group (DRG) adjustment factors (69 FR 66936). The adjustment factors were expressed relative to the most frequently reported DRG in FY 2002, that is, DRG 430. The coefficient values and adjustment factors were derived from the regression analysis.

In accordance with § 412.27, payment under the IPF PPS is made for claims with a principal diagnosis included in the Diagnostic and Statistical Manual of Mental Disorder—Fourth Edition—Text Revision (DSM-IV-TR) or Chapter Five of the International Classification of Diseases—9th Revision—Clinical Modifications (ICD-9-CM). The Standards for Electronic Transaction final rule published in the Federal Register on August 17, 2000 (65 FR 50312), adopted the ICD-9-CM as the designated code set for reporting diseases, injuries, impairments, other health related problems, their manifestations, and causes of injury, disease, impairment, or other health-related problems. As a result, the DSM-IV-TR, while essential for the diagnosis and treatment of mentally ill patients, may not be reported on Medicare claims. However, in order to recognize the importance of the DSM-IV-TR in mental health treatment, we updated the reference to the DSM in § 412.27 from DSM-III-TR to DSM-IV-TR in the IPF PPS final rule. As a result, under the revised § 412.27, IPFs that are distinct part psychiatric units of acute care hospitals and CAHs may only admit patients who have a principal diagnosis in the DSM-IV-TR or Chapter Five of the ICD-9-CM although DSM codes may not be reported on medical claims.

IPF claims with a principal diagnosis included in Chapter Five of the ICD-9-CM or the DSM-IV-TR will be paid the Federal per diem base rate payment under the IPF PPS. Psychiatric principal diagnoses that do not group to one of the 15 designated DRGs receive the Federal per diem base rate and all other applicable adjustments, but the payment does not include a DRG adjustment. Only those claims with diagnoses that group to one of these psychiatric DRGs would receive a DRG adjustment.

We believe it is vital to maintain the same diagnostic coding and DRG classification for IPFs that is used under the IPPS for providing the same psychiatric care. As we explained in the IPF PPS proposed rule (68 FR 66924), all changes to the ICD-9-CM coding system that would impact the IPF PPS are addressed annually in the IPPS proposed and final rules published each year. The updated codes are effective October 1 of each year and must be used to report diagnostic or procedure information. The official version of the ICD-9-CM is available on CD-ROM from the U.S. Government Printing Office. The FY 2005 version can be ordered by contacting the Superintendent of Documents, U.S. Government Printing Office, Department 50, Washington, D.C. 20402-9329, telephone number (202) 512-1800. The stock number is 017-022-01544-7, and the price is $25.00. In addition, private vendors publish the ICD-9-CM. Questions concerning the ICD-9-CM should be directed to Patricia E. Brooks, Co-Chairperson, ICD-9-CM Coordination and Maintenance Committee, CMS, Center for Medicare Management, Purchasing Policy Group, Division of Acute Care, Mailstop C4-08-06, 7500 Security Boulevard, Baltimore, Maryland 21244-1850. Questions and comments may be sent via e-mail to: Patricia.Brooks1@cms.hhs.gov.

Further information concerning the Official Version of the ICD-9-CM can be found in the IPPS final regulation, “Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2006 Rates; Final Rule,” in the August 12, 2005 Federal Register (70 FR 47278) and at http://www.cms.hhs.gov/QuarterlyProviderUpdates/downloads/cms1500f.pdf .

The following two tables below list the FY 2006 new ICD diagnosis codes and FY 2006 revised diagnosis code titles, respectively. These tables are only a listing of FY 2006 changes and do not reflect all of the currently valid and applicable ICD codes classified in the DRGs. Table 6 below lists the new FY 2006 ICD diagnosis codes that are classified to one of the 15 DRGs that are provided a DRG adjustment in the IPF PPS. When coded as a principal code or diagnosis, these codes would receive the correlating DRG adjustment.

Table 6.—FY 2006 New Diagnosis Codes Diagnosis

291.82
Diagnosis code Description DRG
Alcohol-induced sleep disorders 521, 522, 523
292.85 Drug-induced sleep disorders 521, 522, 523
327.00 Organic insomnia, unspecified 432
327.01 Insomnia due to medical condition classified elsewhere 432
327.02 Insomnia due to mental disorder 432
327.09 Other organic insomnia 432
327.10 Organic hypersomnia, unspecified 432
327.11 Idiopathic hypersomnia with long sleep time 432
327.12 Idiopathic hypersomnia without long sleep time 432
327.13 Recurrent hypersomnia 432
327.14 Hypersomnia due to medical condition classified elsewhere 432
327.15 Hypersomnia due to mental disorder 432
327.19 Other organic hypersomnia 432

Table 7 below lists ICD diagnosis codes whose titles have been modified in FY 2006. Title changes do not impact the DRG adjustment. When used as a principal diagnosis, these codes would still receive the correlating DRG adjustment.

Table 7.—Revised Diagnosis Code Titles

307.45
Diagnosis code Description DRG
Circadian rhythm sleep disorder of nonorganic origin 432
780.52 Insomnia, unspecified 432
780.54 Hypersomnia, unspecified 432
780.55 Disruption of 24 hour sleep wake cycle, unspecified 432
780.58 Sleep related movement disorder, unspecified 432

In addition to the aforementioned, in the August 2005 IPPS final rule, we finalized ICD code 305.1, Tobacco Use Disorder, in order to designate this code as a noncovered Medicare service when reported as the principal diagnosis. Below we have republished the explanation that was included in the IPPS final rule (70 FR 47312) and published on the CMS website at http://www.cms.hhs.gov/ QuarterlyProviderUpdates/downloads/cms1500f.pdf.

We have become aware of the possible need to add code 305.1 (Tobacco use disorder) to the MCE in order to make admissions for tobacco use disorder a noncovered Medicare service when code 305.1 is reported as the principal diagnosis. On March 22, 2005, CMS published a final decision memorandum and related national coverage determination (NCD) on smoking cessation counseling services on its Web site: ( http://www.cms.hhs.gov/coverage/ ). Among other things, this NCD provides that: ‘Inpatient hospital stays with the principal diagnosis of 305.1, Tobacco Use Disorder, are not reasonable and necessary for the effective delivery of tobacco cessation counseling services. Therefore, we will not cover tobacco cessation services if tobacco cessation is the primary reason for the patient's hospital stay.’ Therefore, in order to maintain internal consistency with CMS programs and decisions, we proposed to add code 305.1 to the MCE edit “Questionable Admission—Principal Diagnosis Only” in order to make tobacco use disorder a noncovered admission. (70 FR 47312).

In order to maintain consistency with the IPPS, for discharges on or after October 1, 2005, ICD code 305.1, Tobacco Use Disorder, would not be a covered principal diagnosis under the IPF PPS.

Although we are updating the IPF PPS to reflect ICD-9-CM coding changes and DRG classification changes discussed in the annual update to the IPPS, we are proposing that the DRG adjustment factors currently being paid to IPFs would remain the same for discharges occurring during the rate year July 1, 2006 through June 30, 2007. As indicated in the IPF PPS final rule, we do not intend to update the regression analysis until we have analyzed 1 year of IPF PPS claims and cost report data. As a result, we are proposing to adopt the DRG adjustments that are currently being paid as indicated in Table 8 below.

Table 8.—FY 2006 Proposed DRGs and Adjustment Factor

DRG DRG definition Adjustment factor
DRG 424 O.R. Procedure with Principal Diagnosis of Mental Illness 1.22
DRG 425 Acute Adjustment Reaction & Psychosocial Dysfunction 1.05
DRG 426 Depressive Neurosis 0.99
DRG 427 Neurosis, Except Depressive 1.02
DRG 428 Disorders of Personality & Impulse Control 1.02
DRG 429 Organic Disturbances & Mental Retardation 1.03
DRG 430 Psychoses 1.00
DRG 431 Childhood Mental Disorders 0.99
DRG 432 Other Mental Disorder Diagnoses 0.92
DRG 433 Alcohol/Drug Abuse or Dependence, Leave Against Medical Advice (LAMA) 0.97
DRG 521 Alcohol/Drug Abuse or Dependence with CC 1.02
DRG 522 Alcohol/Drug Abuse or Dependence with Rehabilitation Therapy without CC 0.98
DRG 523 Alcohol/Drug Abuse or Dependence without Rehabilitation Therapy without CC 0.88
DRG 12 Degenerative Nervous System Disorders 1.05
DRG 23 Non-traumatic Stupor & Coma 1.07

Section § 412.424(d) separately identifies both “Diagnosis-related group assignment” and “Principal diagnosis” as patient level adjustments. Since publication of the IPF PPS final rule, we have received inquiries related to whether the IPF PPS includes two patient-level payment adjustments for principal diagnosis, an adjustment for the diagnosis-related group assignment and a separate adjustment for providing a principal diagnosis in general. We intended that the IPF PPS provide one patient-level adjustment for principal diagnosis, that is “Diagnosis-related group assignment.”

In order to clarify our policy, we are proposing to modify the language in section § 412.424(d). We are proposing to delete sub-paragraph § 412.424(d)(2)(iii).

2. Proposed Payment for Comorbid Conditions

In the IPF PPS final rule, we established 17 comorbidity categories and identified the ICD-9-CM diagnosis codes that generate a payment adjustment under the IPF PPS.

Comorbidities are specific patient conditions that are secondary to the patient's primary diagnosis, and that require treatment during the stay. Diagnoses that relate to an earlier episode of care and have no bearing on the current hospital stay are excluded and not reported on IPF claims. Comorbid conditions must co-exist at the time of admission, develop subsequently, affect the treatment received, affect the length of stay or affect both treatment and length of stay.

The intent of the comorbidity adjustments was to recognize the increased cost associated with comorbid conditions by providing additional payments for certain concurrent medical or psychiatric conditions that are expensive to treat. An IPF may receive only one comorbidity adjustment per comorbidity category, but it may receive an adjustment for more than one comorbidity category. Billing instructions require that IPFs must enter the full ICD-9-CM codes for up to 8 additional diagnoses if they co-exist at the time of admission or developed subsequently.

The comorbidity adjustments were determined based on regression analysis using the diagnoses reported by hospitals as other diagnoses in FY 2002. The principal diagnoses were used to establish the DRG adjustment and were not accounted for in establishing the comorbidity category adjustments, except where ICD-9-CM “code first” instructions apply. As we explained in the IPF PPS final rule, the code first rule applies when a condition has both an underlying etiology and a manifestation due to the underlying etiology. For these conditions, the ICD-9-CM has a coding convention that requires the underlying conditions to be sequenced first followed by the manifestation. Whenever a combination exists, there is a “use additional code” note at the etiology code and a “code first” note at the manifestation code.

Although we are updating the IPF PPS to reflect updates to the ICD-9-CM codes, we are proposing that the comorbidity adjustment factors currently in effect would remain in effect for the rate year beginning July 1, 2006. As we indicated in the IPF PPS final rule, we do not intend to update the regression analysis until we have analyzed 1 year of IPF PPS claims and cost report data. The proposed comorbidity adjustments are shown in Table 9 below.

As previously discussed in the DRG section, we believe it is essential to maintain the same diagnostic coding set for IPFs that is used under the IPPS for providing the same psychiatric care. Therefore, we are proposing to use the most current FY 2006 ICD codes. They are reflected in the FY 2006 GROUPER, version 23.0 and are effective for discharges occurring on or after October 1, 2005.

Table 9 lists the updated FY 2006 new ICD diagnosis codes that impact the comorbidity adjustment under the IPF PPS and Table 10 lists the invalid ICD codes no longer applicable for the comorbidity adjustment. Table 9 only lists the FY 2006 new codes and does not reflect all of the currently valid ICD codes applicable for the IPF PPS comorbidity adjustment.

We note that ICD diagnosis code 585 Chronic Renal Failure was modified in two ways—(1) by expanding the level of specificity to include seven new codes; and (2) by changing the original code of 585 to invalid, thereby leaving the remaining more specific codes reportable. Since diagnosis code 585 is no longer valid, we are proposing to eliminate this code from the comorbidity category “Renal Failure, Chronic.”

ICD diagnosis code 585 chronic Renal Failure is defined in the ICD-9-CM as “Progressive, persistent inadequate kidney function characterized by anuria, accumulation of urea and other nitrogenous bodies in the blood, nausea, vomiting, gastrointestinal bleeding, and yellowish-brown discoloration of the skin.” This code included the various stages of chronic kidney disease, but it is no longer valid. The new codes listed below reflect the various stages of chronic kidney failure. Since diagnosis code 585 is no longer valid, we are proposing to eliminate it from the comorbidity category, “Renal Failure, Chronic”.

We are proposing to provide comorbidity adjustments for 585.3, “Chronic kidney disease, Stage III (moderate),” 585.4, “Chronic kidney disease, Stage IV (severe),” 585.5, “Chronic kidney disease, Stage V,” 585.6, “End Stage renal disease,” and 585.9, “Chronic kidney disease, unspecified.” However, since the purpose of the comorbidity adjustment is to account for the higher resource costs associated with comorbid conditions that are expensive to treat on a per diem basis, we are not proposing a comorbidity adjustment for 585.1, “Chronic kidney disease, Stage I” and 585.2, “Chronic kidney disease, Stage II (mild).”

We believe that these conditions (585.1 and 585.2) are less costly to treat on a per diem basis because patients with these conditions are either asymptomatic or may have only mild symptoms. These conditions represent a minimal to mild decrease in kidney function that is almost completely compensated such that the only finding is typically an abnormal laboratory test. Unlike patients with more significant kidney dysfunction, these patients do not usually require more costly patient care interventions such as additional lab tests to monitor renal function, special pharmacy attention to reduced dosages or kidney-sparing medications, or fluid and electrolyte precautions with special diets, frequent weights, Input/Output balance, and fluid restriction. As such, the resources and costs that these patients require for staff time, medications and supplies, and administrative services are expected to be similar to other patients without these conditions.

Table 9.—FY 2006 New ICD Codes Applicable for the Comorbidity Adjustment

Diagnosis code Description DRG Comorbidity category
585.3 Chronic kidney disease, Stage III (moderate) 315-316 Renal Failure, Chronic.
585.4 Chronic kidney disease, Stage IV (severe) 315-316 Renal Failure, Chronic.
585.5 Chronic kidney disease, Stage V 315-316 Renal Failure, Chronic.
585.6 End stage renal disease 315-316 Renal Failure, Chronic.
585.9 Chronic kidney disease, unspecified 315-316 Renal Failure, Chronic.
V46.13 Encounter for weaning from respirator [ventilator] 467 Chronic Obstructive Pulmonary Disease.
V46.14 Mechanical complication of respirator [ventilator] 467 Chronic Obstructive Pulmonary Disease.

In Table 10 below, we list the FY 2006 invalid ICD diagnosis code 585 that we are proposing to remove from the comorbidity adjustment under the IPF PPS. This table does not reflect all of the currently valid ICD codes applicable for the IPF PPS comorbidity adjustment.

Table 10.—FY 2006 Invalid ICD Codes No Longer Applicable for the Comorbidity Adjustment

Diagnosis code Description DR Comorbidity category
585 Chronic renal failure 315-36 Renal Failure, Chronic.

We are aware that ICD code 404.03, Hypertensive Heart and Renal Disease, Malignant, with Heart Failure and Renal Failure, has caused confusion since this ICD code is currently used to code an adjustment in two separate IPF comorbidity categories, (that is, both “Renal Failure, Chronic” and “Cardiac Conditions”). After a careful review of this code, we believe that it more appropriately corresponds to the “Cardiac Conditions” comorbidity than to the “Renal Failure, Chronic” comorbidity. Therefore, to be more clinically cohesive and to eliminate confusion, we are proposing to remove ICD code 404.03 from the comorbidity adjustment category “Renal Failure, Chronic,” but retaining it in the “Cardiac Conditions” comorbidity category. Since both comorbidity categories have the same adjustment factor of 1.11, no negative payment consequence would result from this change.

The seventeen comorbidity categories for which we are proposing to provide an adjustment, their respective codes including the new FY 2006 ICD codes, and their respective adjustment factors are listed below in Table 11.

Table 11.—FY 2006 Diagnosis Codes and Adjustment Factors for Comorbidity Categories

Description of comorbidity ICD-9CM Code Adjustment factor
Development Disabilities 317, 3180, 3181, 3182, and 319 1.04
Coagulation Factor deficits 2860 through 2864 1.13
Tracheotomy 51900—through 51909 and V440 1.06
Renal Failure, Acute 5845 through 5849, 63630, 63631, 63632, 63730, 63731, 63732, 6383, 6393, 66932, 66934, 9585 1.11
Renal Failure, Chronic 40301, 40311, 40391, 40402, 40412, 40413, 40492, 40493, 5853, 5854, 5855, 5856, 5859, 586, V451, V560, V561, and V562 1.11
Oncology Treatment 1400 through 2399 with a radiation therapy code 92.21-92.29 or chemotherapy code 99.25 1.07
Uncontrolled Diabetes-Mellitus with or without complications 25002, 25003, 25012, 25013, 25022, 25023, 25032, 25033, 25042, 25043, 25052, 25053, 25062, 25063, 25072, 25073, 25082, 25083, 25092, and 25093 1.05
Severe Protein calorie malnutrition 260 through 262 1.13
Eating and Conduct Disorders 3071, 30750, 31203, 31233, and 31234 1.12
Infectious Disease 01000 through 04110, 042, 04500 through 05319, 05440 through 05449, 0550 through 0770, 0782 through 07889, and 07950 through 07959 1.07
Drug and/or Alcohol Induced Mental Disorders 2910, 2920, 29212, 2922, 30300, and 30400 1.03
Cardiac Conditions 3910, 3911, 3912, 40201, 40403, 4160, 4210, 4211, and 4219 1.11
Gangrene 44024 and 7854 1.10
Chronic Obstructive Pulmonary Disease 49121, 4941, 5100, 51883, 51884, V4611 and V4612, V4613 and V4614 1.12
Artificial Openings—Digestive and Urinary 56960 through 56969, 9975, and V441 through V446 1.08
Severe Musculoskeletal and Connective Tissue Diseases 6960, 7100, 73000 through 73009, 73010 through 73019, and 73020 through 73029 1.11
Poisoning 96500 through 96509, 9654, 9670 through 9699, 9770, 9800 through 9809, 9830 through 9839, 986, 9890 through 9897 1.11

3. Proposed Patient Age Adjustments

As explained in the IPF PPS final rule, we analyzed the impact of age on per diem cost by examining the age variable (that is, the range of ages) for payment adjustments.

In general, we found that the cost per day increases with increasing age. The older age groups are more costly than the under 45 years of age group, the differences in per diem cost increase for each successive age group, and the differences are statistically significant.

Based on the results of the regression analysis, we established 8 adjustment factors for age beginning with age groupings, 45 and under 50, 50 and under 55, 55 and under 60, 60 and under 65, 65 and under 70, 70 and under 75, 75 and under 80, and 80 years of age and over. Patients under 45 years of age are assigned an age adjustment factor of 1.00. As we indicated in the IPF PPS final rule, we do not intend to update the regression analysis until we can analyze 1 year of IPF PPS claims and cost report data. As a result, in this proposed rule, we are proposing to adopt the patient age adjustments currently in effect and shown in Table 12 below.

Table 12.—Age Groupings and Adjustment Factors

Age Adjustment factor
Under 45 1.00
45 and under 50 1.01
50 and under 55 1.02
55 and under 60 1.04
60 and under 65 1.07
65 and under 70 1.10
70 and under 75 1.13
75 and under 80 1.15
80 and over 1.17

4. Proposed Variable Per Diem Adjustments

We explained in the IPF PPS final rule that cost regressions indicated that per diem cost declines as the length of stay increases (69 FR 66947). The variable per diem adjustments to the Federal per diem base rate account for ancillary and administrative costs that occur disproportionately in the first days after admission to an IPF.

We used regression analysis to estimate the average differences in per diem cost among stays of different length. Regression analysis simultaneously controls for cost differences associated with the other variables (for example, age, DRG, and presence of specific comorbidities). The regression coefficients measure the relative average cost per day for stays of differing lengths compared to a reference group's length of stay. We analyzed through cost regression, the relative cost per day for day 1 through day 30. We determined that the average per diem cost declined smoothly until the 22nd day. As a result of this analysis, we established variable per diem adjustments that begin on day 1 and decline gradually until day 21 of a patient's stay. For day 22 and thereafter, the variable per diem adjustment remains the same each day for the remainder of the stay. However, the adjustment applied to day 1 depends upon whether the IPF has a qualifying Emergency Department (ED). If an IPF has a qualifying ED, it receives a 1.31 adjustment for day 1 of each patient stay. If an IPF does not have a qualifying ED, it receives a 1.19 adjustment for day 1 of the stay. The ED adjustment is explained in more detail in section IV.C.5. of this proposed rule.

As we indicated in the IPF PPS final rule, we do not intend to make changes to the regression analysis until we can analyze 1 year of IPF PPS claims and cost report data. As a result, for the rate year beginning July 1, 2006, we are proposing to adopt the variable per diem adjustment factors currently in effect. Table 13 below shows the variable per diem adjustments we are proposing for updating the IPF PPS. Higher payments for the early days of stay in IPFs are not fully compensated by the lower payments after day 10, but are paid for by the standardization portion which is applied to the federal per diem base rate.

Table 13.—Variable Per Diem Adjustments

Day-of-stay Adjustment factor
Day 1-IPF Without a Qualified ED 1.19
Day 1-IPF With a Qualified ED 1.31
Day 2 1.12
Day 3 1.08
Day 4 1.05
Day 5 1.04
Day 6 1.02
Day 7 1.01
Day 8 1.01
Day 9 1.00
Day 10 1.00
Day 11 0.99
Day 12 0.99
Day 13 0.99
Day 14 0.99
Day 15 0.98
Day 16 0.97
Day 17 0.97
Day 18 0.96
Day 19 0.95
Day 20 0.95
Day 21 0.95
After Day 21 0.92

C. Facility-Level Adjustments

[If you choose to comment on issues in this section, please include the caption “FACILITY-LEVEL ADJUSTMENTS” at the beginning of your comments.]

The IPF PPS includes facility-level adjustments for the wage index, IPFs located in rural areas, teaching IPFs, cost of living adjustments for IPFs located in Alaska and Hawaii, and IPFs with a qualifying ED.

1. Wage Index Adjustment

a. Proposed Revisions of IPF PPS Geographic Classifications

In the IPF PPS final rule, we explained that in establishing an adjustment for area wage levels, the labor-related portion of an IPF's Federal prospective payment is adjusted by using an appropriate wage index. We also explained that an IPF's wage index is determined based on the location of the IPF in an urban or rural area as defined in § 412.62(f)(1)(ii) and (f)(1)(iii), respectively. An urban area under the IPF PPS is defined at § 412.62(f)(1)(ii)(A) and (B). In general, an urban area is defined as a Metropolitan Statistical Area (MSA) or New England County Metropolitan Area (NECMA) as defined by the Office of Management and Budget (OMB). In addition, a few counties located outside of MSAs are considered urban as specified at § 412.62(f)(1)(ii)(B). Under § 412.62(f)(1)(iii), a rural area is defined as any area outside of an urban area. The geographic classifications defined in § 412.62(f)(1)(ii) and (f)(1)(iii), were used under the IPPS from FYs 1984 through 2004 (§ 412.62(f) and § 412.63(b)), and have been used under the IPF PPS since it was implemented for cost reporting periods beginning on or after January 1, 2005.

Under the IPPS, the wage index is calculated and assigned to hospitals on the basis of the labor market area in which the hospital is located or geographically reclassified to in accordance with sections 1886(d)(8) and (d)(10) of the Act. Under the IPF PPS, the wage index is calculated using IPPS wage index data (as discussed below in section IV C.1.d of this preamble) on the basis of the labor market area in which the IPF is located, without taking into account geographic reclassification under sections 1886(d)(8) and (d)(10) of the Act and without applying the “rural floor” established under section 4410 of the BBA. (Section 4410 of the BBA provides that for the purposes of section 1886(d)(3)(E) of the Act, the area wage index applicable to hospitals located in an urban area of a State may not be less than the area wage index applicable to hospitals located in rural areas in the State. This provision is commonly referred to as the “rural floor” under the IPPS.) However, when we established the IPF PPS, we did not apply the rural floor to IPFs. For this reason, the hospital wage index used for IPFs is commonly referred to as the “pre-floor” hospital wage index indicating that the “rural floor” provision of the BBA is not applied. As a result, the applicable IPF wage index value is assigned to the IPF on the basis of the labor market area in which the IPF is geographically located.

As noted above, the current IPF PPS labor market areas are defined based on the definitions of MSAs, Primary MSAs (PMSAs), and NECMAs issued by the OMB (commonly referred to collectively as “MSAs”). The MSA definitions, which are discussed in greater detail below, are currently used under the IPF PPS and other PPSs (that is, the IRF PPS, the LTCH PPS, and the PPSs for home health agencies (HHA PPS) and skilled nursing facilities (SNF PPS)). In the FY 2005 IPPS final rule (69 FR 49026 through 49034), revised labor market area definitions were adopted under the IPPS (§ 412.64(b)), which were effective October 1, 2004. These new standards, called Core-Based Statistical Areas (CBSAs), were announced by the OMB late in 2000 and are discussed in greater detail below.

b. Current IPF PPS Labor Market Areas Based on MSAs

When we published the IPF PPS final rule, we explained that we were not adopting the new statistical area definitions defined by OMB for the following reasons. First, the change in labor market areas under the IPPS had not changed at the time we published the IPF PPS proposed rule on November 28, 2003. As a result, IPFs and other interested parties were not afforded an opportunity to comment on the use of the new labor market area definitions under the IPF PPS. Second, we wanted to conduct a thorough analysis of the impact of the new labor market area definitions on payments under the IPF PPS. Finally, in the IPF PPS final rule, we indicated our intent to publish in a proposed rule any changes we were considering for new labor market definitions.

The analysis of the impact of the new labor market definitions has been completed and we are proposing to adopt new labor market area definitions under the IPF PPS. As a result, we believe it is helpful to provide a detailed description of the current IPF PPS labor market areas, in order to better understand the proposed changes to the IPF PPS labor market areas presented in this proposed rule.

As mentioned earlier, since the implementation of the IPF PPS, we have used labor market areas to further characterize urban and rural areas as determined under § 412.62(f)(1)(ii) and (iii). To this end, we have defined labor market areas under the IPF PPS based on the definitions of MSAs, PMSAs, and NECMAs issued by the OMB in 1993, which is consistent with the IPPS approach prior to FY 2005. We note that OMB also defines Consolidated MSAs (CMSAs). A CMSA is a metropolitan area with a population of 1 million or more, comprising two or more PMSAs (identified by their separate economic and social character). However, for purposes of the wage index, we use the PMSAs rather than CMSAs because they allow a more precise breakdown of labor costs. If a metropolitan area is not designated as part of a PMSA, we use the applicable MSA.

These different designations use counties as the building blocks upon which they are based. Therefore, under the IPF PPS, hospitals are assigned to either an MSA, PMSA, or NECMA based on whether the county in which the IPF is located is part of that area. All of the counties in a State outside a designated MSA, PMSA, or NECMA are designated as rural.

c. Core-Based Statistical Areas

The OMB reviews its Metropolitan Area definitions preceding each decennial census. As discussed in the FY 2005 IPPS final rule (69 FR 49026), in the fall of 1998, OMB chartered the Metropolitan Area Standards Review Committee to examine the Metropolitan Area standards and develop recommendations for possible changes to those standards. Three notices related to the review of the standards, providing an opportunity for public comment on the recommendations of the Committee, were published in the Federal Register on the following dates: December 21, 1998 (63 FR 70526); October 20, 1999 (64 FR 56628); and August 22, 2000 (65 FR 51060).

In the December 27, 2000 Federal Register (65 FR 82228 through 82238), OMB announced its new standards. In that notice, OMB defines a Core-Based Statistical Area (CBSA), beginning in 2003, as “a geographic entity associated with at least one core of 10,000 or more population, plus adjacent territory that has a high degree of social and economic integration with the core as measured by commuting ties. The standards designate and define two categories of CBSAs: Metropolitan Statistical Areas and Micropolitan Statistical Areas.” (65 FR 82236 through 82238).

According to the OMB, MSAs are based on urbanized areas of 50,000 or more population, and Micropolitan Statistical Areas (referred to in this discussion as Micropolitan Areas) are based on urban clusters of at least 10,000 population, but less than 50,000 population. Counties that do not fall within CBSAs (either MSAs or Micropolitan Areas) are deemed “Outside CBSAs.” In the past, OMB defined MSAs around areas with a minimum core population of 50,000, and smaller areas were “Outside MSAs.” On June 6, 2003, the OMB announced the new CBSAs, comprised of MSAs and the new Micropolitan Areas based on Census 2000 data. (A copy of the announcement may be obtained at the following Internet address: http://www.whitehouse.gov/omb/bulletins/fy04/b04-03.html.)

The new CBSA designations recognize 49 new MSAs and 565 new Micropolitan Areas, and extensively revise the composition of many of the existing MSAs. There are 1,090 counties in MSAs under the new CBSA designations (previously, there were 848 counties in MSAs). Of these 1,090 counties, 737 are in the same MSA as they were prior to the change in designations, 65 are in a different MSA, and 288 were not previously designated to any MSA. There are 674 counties in Micropolitan Areas. Of these, 41 were previously in an MSA, while 633 were not previously designated to an MSA. There are five counties that previously were designated to an MSA but are no longer designated to either an MSA or a new Micropolitan Area: Carter County, KY; St. James Parish, LA; Kane County, UT; Culpepper County, VA; and King George County, VA. For a more detailed discussion of the conceptual basis of the new CBSAs, refer to the FY 2005 IPPS final rule (67 FR 49026 through 49034).

d. Proposed Revision of the IPF PPS Labor Market Areas

In its June 6, 2003 announcement, OMB cautioned that these new definitions “should not be used to develop and implement Federal, State, and local nonstatistical programs and policies without full consideration of the effects of using these definitions for such purposes. These areas should not serve as a general-purpose geographic framework for nonstatistical activities, and they may or may not be suitable for use in program funding formulas.”

We currently use MSAs to define labor market areas for purposes of Medicare wage indices in the IPF PPS since its implementation for cost reporting periods beginning on or after January 1, 2005. Until recently, MSAs were used to define labor market areas for purposes of the wage index for many of the other Medicare payment systems (for example, IRF PPS, SNF PPS, HHA PPS, and Outpatient PPS). While we recognize MSAs are not designed specifically to define labor market areas, we believe they represent a useful proxy for this purpose, because they are based upon characteristics we believe also generally reflect the characteristics of unified labor market areas. For example, CBSAs consist of a core population plus an adjacent territory that reflects a high degree of social and economic integration. This integration is measured by commuting ties, thus demonstrating that these areas may draw workers from the same general areas. In addition, the most recent CBSAs reflect the most up-to-date information. Our analysis and discussion here are focused on issues related to adopting the new CBSA designations to define labor market areas for the purposes of the IPF PPS.

Historically, Medicare PPSs have utilized Metropolitan Area definitions developed by the OMB. As noted above, the labor market areas currently used under the IPF PPS are based on the Metropolitan Area definitions issued by the OMB and the OMB reviews its Metropolitan Area definitions preceding each decennial census to reflect more recent population changes. The CBSAs are OMB's latest Metropolitan Area definitions based on the Census 2000 data. Because we believe that the OMB's latest Metropolitan Area designations more accurately reflect the local economies and wage levels of the areas in which hospitals are currently located, we adopted revised labor market area designations based on the OMB's CBSA designations under the IPPS effective October 1, 2004. When we implemented the wage index adjustment at § 412.424(d)(1)(i) under the IPF PPS final rule (69 FR 66952 through 66954), we explained that the IPF PPS wage index adjustment was intended to reflect the relative hospital wage levels in the geographic area of the hospital as compared to the national average hospital wage level. The OMB's CBSA designations based on Census 2000 data reflect the most recent available geographic classifications (Metropolitan Area definitions). Therefore, we are proposing to revise the labor market area definitions used under the IPF PPS based on the OMB's CBSA designations. This change would ensure that the IPF PPS wage index adjustment most appropriately accounts for and reflects the relative hospital wage levels in the geographic area of the hospital as compared to the national average hospital wage level.

Specifically, we are proposing to revise the IPF PPS labor market definitions based on the OMB's new CBSA designations (as discussed in greater detail below) effective for IPF PPS discharges occurring on or after July 1, 2006. Accordingly, we are proposing to revise § 412.402, definitions for rural and urban areas, effective for discharges occurring on or after July 1, 2006 would be defined in § 412.64(b)(1)(ii)(A) through (C). These definitions are the labor market definitions based on OMB's CBSA designations. For clarity, we are proposing to revise the regulation text to explicitly reference urban and rural definitions for a cost reporting period beginning on or after January 1, 2005, with respect to discharges occurring during the period covered by such cost reports but before July 1, 2006 under § 412.62(f)(1)(ii) and § 412.62(f)(1)(iii).

We note that these are the same labor market area definitions (based on the OMB's new CBSA designations) implemented for acute care hospitals under the IPPS at § 412.64(b), which were effective for those hospitals beginning October 1, 2004 as discussed in the FY 2005 IPPS final rule (69 FR 49026-49034). The IPF PPS uses the acute care inpatient hospitals' wage data in calculating the IPF PPS wage index. However, unlike the IPPS, and similar to other Medicare payment systems (for example, SNF PPS and IRF PPS), the IPF PPS uses the pre-floor, pre-reclassified hospital wage index.

Below, we discuss the composition of the proposed IPF PPS labor market areas based on OMB's new CBSA designations. It should be noted that OMB's new CBSA designations are comprised of several county-based area definitions as explained above, which include Metropolitan Areas, Micropolitan Areas, and areas “outside CBSAs.” We implemented the IPF PPS using two types of labor market areas, that is, urban and rural. In this proposed rule, we are proposing to adopt the revised labor market areas based on OMB's new CBSA-based designations. We are also proposing to continue to have 2 types of labor market areas (urban and rural). In the discussion that follows, we explain our proposal to recognize Metropolitan Areas, which include New England MSAs and Metropolitan Divisions, as urban. We also explain our proposal to recognize Micropolitan Areas and areas “outside CBSAs” as rural. The following discussion describes the proposed methodology for mapping OMB's CBSA-based designations into the IPF PPS (urban area or rural area) format.

i. New England MSAs

As stated above, we currently use NECMAs to define labor market areas in New England, because these are county-based designations, rather than the 1990 MSA definitions for New England, which used minor civil divisions such as cities and towns. Under the current MSA definitions, NECMAs provided more consistency in labor market definitions for New England compared with the rest of the country, where MSAs are county-based. Under the new CBSAs, the OMB has now defined the MSAs and Micropolitan Areas in New England on the basis of counties. The OMB also established New England City and Town Areas, which are similar to the previous New England MSAs.

In order to create consistency across all IPF labor market areas, we are proposing to use the county-based areas for all MSAs in the nation, including those in New England. The OMB has now defined the New England area based on counties, creating a city- and town-based system as an alternative. We believe that adopting county-based labor market areas for the entire country except those in New England would lead to inconsistencies in our designations. Adopting county-based labor market areas for the entire country provides consistency and stability in Medicare program payment because all of the labor market areas throughout the country, including New England, would be defined using the same system (that is, counties) rather than different systems in different areas of the county, and minimizes programmatic complexity.

In addition, we have consistently employed a county-based system for New England for precisely that reason: to maintain consistency with the labor market definitions used throughout the country. Since we have never used cities and towns for defining IPF labor market areas, employing a county-based system in New England maintains that consistent practice. We note that this is consistent with the implementation of the CBSA-based designations under the IPPS for New England (69 FR 49028). Accordingly, for the IPF PPS, we are proposing to use the New England MSAs as determined under the proposed new CBSA-based labor market area definitions in defining the proposed revised IPF PPS labor market areas.

ii. Metropolitan Divisions

Under OMB's new CBSA designations, a Metropolitan Division is a county or group of counties within a CBSA that contains a core population of at least 2.5 million, representing an employment center, plus adjacent counties associated with the main county or counties through commuting ties. A county qualifies as a main county if 65 percent or more of its employed residents work within the county and the ratio of the number of jobs located in the county to the number of employed residents is at least 0.75. A county qualifies as a secondary county if 50 percent or more, but less than 65 percent, of its employed residents work within the county and the ratio of the number of jobs located in the county to the number of employed residents is at least 0.75. After all the main and secondary counties are identified and grouped, each additional county that already has qualified for inclusion in the MSA falls within the Metropolitan Division associated with the main/secondary county or counties with which the county at issue has the highest employment interchange measure. Counties in a Metropolitan Division must be contiguous (65 FR 82236).

The construct of relatively large MSAs being comprised of Metropolitan Divisions is similar to the current construct of CMSAs comprised of PMSAs. As noted above, in the past, the OMB designated CMSAs as Metropolitan Areas with a population of 1 million or more and comprised of two or more PMSAs. Under the IPF PPS, we currently use the PMSAs rather than CMSAs to define labor market areas because they comprise a smaller geographic area with potentially varying labor costs due to different local economies. We believe that CMSAs may be too large of an area with a relatively large number of hospitals, to accurately reflect the local labor costs of all of the individual hospitals included in that relatively “large” area. A large market area designation increases the likelihood of including many hospitals located in areas with very different labor market conditions within the same market area designation. This variation could increase the difficulty in calculating a single wage index that would be relevant for all hospitals within the market area designation. Similarly, we believe that MSAs with a population of 2.5 million or greater may be too large of an area to accurately reflect the local labor costs of all of the individual hospitals included in that relatively “large” area. Furthermore, as indicated above, Metropolitan Divisions represent the closest approximation to PMSAs, the building block of the current IPF PPS labor market area definitions, and therefore, would most accurately maintain our current structuring of the IPF PPS labor market areas. Therefore, as implemented under the IPPS (69 FR 49029), we are proposing to use the Metropolitan Divisions where applicable (as described below) under the proposed new CBSA-based labor market area definitions.

In addition to being comparable to the organization of the labor market areas under current MSA designations (that is, the use of PMSAs rather than CMSAs), we believe that using Metropolitan Divisions where applicable (as described below) under the IPF PPS would result in a more accurate adjustment for the variation in local labor market areas for IPFs. Specifically, if we would recognize the relatively “larger” CBSA that comprises two or more Metropolitan Divisions as an independent labor market area for purposes of the wage index, it would be too large and would include the data from too many hospitals to compute a wage index that would accurately reflect the various local labor costs of all of the individual hospitals included in that relatively “large” CBSA. As mentioned earlier, a large market area designation increases the likelihood of including many hospitals located in areas with very different labor market conditions within the same market area designation. This variation could increase the difficulty in calculating a single wage index that would be relevant for all hospitals within the market area designation. Rather, by proposing to recognize Metropolitan Divisions where applicable (as described below) under the proposed new CBSA-based labor market area definitions under the IPF PPS, we believe that in addition to more accurately maintaining the current structuring of the IPF PPS labor market areas, the local labor costs would be more accurately reflected, thereby resulting in a wage index adjustment that better reflects the variation in the local labor costs of the local economies of the IPFs located in these relatively “smaller” areas.

Below we describe where Metropolitan Divisions would be applicable under the proposed new CBSA-based labor market area definitions under the IPF PPS.

Under OMB's new CBSA-based designations, there are 11 MSAs containing Metropolitan Divisions: Boston; Chicago; Dallas; Detroit; Los Angeles; Miami; New York; Philadelphia; San Francisco; Seattle; and Washington, DC. Although these MSAs were also CMSAs under the prior definitions, in some cases these areas have been significantly altered. Under the current IPF PPS MSA designations, Boston is a single NECMA. Under the proposed CBSA-based labor market area designations, it would be comprised of four Metropolitan Divisions. Los Angeles would go from four PMSAs under the current IPF PPS MSA designations to two Metropolitan Divisions under the proposed CBSA-based labor market area designations because two MSAs became separate MSAs. The New York CMSA would go from 15 PMSAs under the current IPF PPS MSA designations down to only four Metropolitan Divisions under the proposed CBSA-based labor market area designations. The five PMSAs in Connecticut under the current IPF PPS MSA designations would become separate MSAs under the proposed CBSA-based labor market area designations, and the number of PMSAs in New Jersey under the current IPF PPS MSA designations would go from five to two, with the consolidation of two New Jersey PMSAs (Bergen-Passaic and Jersey City) into the New York-Wayne-White Plains, NY-NJ Division, under the proposed CBSA-based labor market area designations. In San Francisco, under the proposed CBSA-based labor market area designations, there are only two Metropolitan Divisions. Currently, there are six PMSAs, some of which are now separate MSAs under the current IPF PPS labor market area designations.

Under the current IPF PPS labor market area designations, Cincinnati, Cleveland, Denver, Houston, Milwaukee, Portland, Sacramento, and San Juan are all designated as CMSAs, but would no longer be designated as CMSAs under the proposed CBSA-based labor market area designations. As noted previously, the population threshold to be designated as a CMSA under the current IPF PPS labor market area designations is 1 million. In most of these cases, counties currently in a PMSA under the current IPF PPS labor market area designations would become separate, independent MSAs under the proposed CBSA-based labor market area designations.

iii. Micropolitan Areas

Under OMB's new CBSA-based designations, Micropolitan Areas are essentially a third area definition consisting primarily of currently rural areas, but also include some or all of areas that are currently designated as an urban MSA. As discussed in greater detail in the FY 2005 IPPS final rule (69 FR 49029 through 49032), how these areas are treated would have significant impacts on the calculation and application of the wage index. Specifically, whether or not Micropolitan Areas are included as part of the respective statewide rural wage indices would impact the value of statewide rural wage index of any State that contains a Micropolitan Area because a hospital's classification as urban or rural affects which hospitals' wage data are included in the statewide rural wage index. As discussed above in section IV.C.1.b. we combine all of the counties in a State outside a designated urban area together to calculate the statewide rural wage index for each State.

Including Micropolitan Areas as part of the statewide rural labor market area would result in an increase to the statewide rural wage index because hospitals located in those Micropolitan Areas typically have higher labor costs than other rural hospitals in the State. Alternatively, if Micropolitan Areas would be recognized as independent labor market areas, because there would be so few hospitals in each labor market area, the wage indices for IPFs in those areas could become relatively unstable as they would change considerably from year to year.

We currently use MSAs to define urban labor market areas and group all the hospitals in counties within each State that are not assigned to an MSA together into a statewide rural labor market area. We have used the terms “urban” and “rural” wage indexes in the past for ease of reference. However, the introduction of Micropolitan Areas by the OMB potentially complicates this terminology because these areas include many hospitals that are currently included in the statewide rural labor market areas.

We are proposing to treat Micropolitan Areas as rural labor market areas under the IPF PPS for the reasons outlined below. That is, counties that are assigned to a Micropolitan Area under the CBSA-based designations would be treated the same as other “rural” counties that are not assigned to either an MSA (Metropolitan Statistical Area) or a Micropolitan Area. Therefore, in determining an IPF's applicable wage index (based on IPPS hospital wage index data), we are proposing that an IPF in a Micropolitan Area under OMB's CBSA-based designations would be classified as “rural” and would be assigned the statewide rural wage index for the State in which it resides.

In the FY 2005 IPPS final rule (69 FR 49029 through 49032), we discuss our evaluation of the impact of treating Micropolitan Areas as part of the statewide rural labor market area instead of treating Micropolitan Areas as independent labor market areas for hospitals paid under the IPPS. As discussed in that same final rule, one of the reasons Micropolitan Areas have such a dramatic impact on the wage index is because Micropolitan Areas encompass smaller populations than MSAs. In addition, they tend to include fewer hospitals per Micropolitan Area. Currently, there are only 25 MSAs with one hospital in the MSA. However, under the new proposed CBSA-based definitions, there are 373 Micropolitan Areas with one hospital, and 49 MSAs with only one hospital.

Since Micropolitan Areas encompass smaller populations than MSAs, they tend to include fewer hospitals per Micropolitan Area, recognizing Micropolitan Areas as independent labor market areas would generally increase the potential for dramatic shifts in those areas' wage indices from one year to the next because a single hospital (or group of hospitals) could have a disproportionate effect on the wage index of the area. The large number of labor market areas with only one hospital and the increased potential for dramatic shifts in the wage indexes from 1 year to the next is a problem for several reasons. First, it creates instability in the wage index from year to year for a large number of hospitals. Second, it reduces the averaging effect (averaging effect allows for more data points to be used to calculate a representative standard of measured labor costs within a market area.) lessening some of the incentive for hospitals to operate efficiently. This incentive is inherent in a system based on the average hourly wages for a large number of hospitals, as hospitals could profit more by operating below that average. In labor market areas with a single hospital, high wage costs are passed directly into the wage index with no counterbalancing averaging with lower wages paid at nearby competing hospitals. Third, it creates an arguably inequitable system when so many hospitals have wage indexes based solely on their own wages, while other hospitals' wage indexes are based on an average hourly wage across many hospitals.

For the reasons noted above, and consistent with the treatment of these areas under the IPPS, we are proposing not to adopt Micropolitan Areas as independent labor market areas under the IPF PPS. However, we are proposing that Micropolitan Areas, under the CBSA-based labor market area definitions, would be considered part of the statewide rural labor market area. Accordingly, we are proposing that the IPF PPS statewide rural wage index would be determined using acute-care IPPS hospital wage data (the rationale for using IPPS hospital wage data is discussed in greater detail above in section IV.C.1.d.iii of this proposed rule) from hospitals located in non-MSA areas (for example, rural areas, including Micropolitan Areas) and that statewide rural wage index would be assigned to IPFs located in those non-MSA areas.

e. Implementation of the Proposed Revised Labor Market Areas Under the IPF PPS

Section 124 of the BBRA, is broadly written and gives the Secretary discretion in developing and making adjustments to the IPF PPS.

When the revised labor market areas based on the OMB's new CBSA-based designations were adopted under the acute care hospital IPPS beginning on October 1, 2004, a transition to the new labor market area designations was established due to the scope and substantial implications of these new boundaries and to buffer the subsequent significant impacts it may have on payments to numerous hospitals. As discussed in the FY 2005 IPPS final rule (69 FR 49032), during FY 2005, a blend of wage indexes is calculated for those acute care IPPS hospitals experiencing a drop in their wage indexes because of the adoption of the new labor market areas.

While we recognize that, just like IPPS hospitals, some IPFs may experience decreases in their wage index as a result of the proposed labor market area changes, our analysis shows that a majority of IPFs either expect no change in wage index or an increase in wage index based on CBSA definitions. In addition, a very small number of IPFs (fewer than 3 percent) would experience a decline of 5 percent or more in the wage index based on CBSA designations. We also found that a very small number of IPFs (approximately 5 percent) would experience a change in either rural or urban designation under the CBSA-based definitions. Since a majority of IPFs would not be significantly impacted by the proposed labor market areas, we believe it is not necessary to propose a transition to the proposed new CBSA-based labor market area for the purposes of the IPF PPS wage index.

In addition, because we are in the midst of a transition to a full wage-index adjustment under the IPF PPS, we believe that the effects on the IPF PPS wage index from the proposed changes to the IPF PPS labor market areas definitions would be mitigated. Specifically, most IPFs would be in their FY 2006 cost reporting period and therefore would be in the second year of the 3-year phase-in of the IPF PPS wage index adjustment when the revised labor market area designations would be applied. During the second year of the transition to the IPF PPS, the applicable wage index value is one-half (50 percent) of the applicable full IPF PPS wage index adjustment. Since most IPFs would be in the second year of the 3-year phase-in of the wage index adjustment, for most IPFs, the labor-related portion of the standard Federal rate is only adjusted by 50 percent of the applicable full wage index (that is, one-half wage index value). As noted above, the IPF PPS wage index adjustment is made by multiplying the labor-related share of the IPF PPS standard Federal per diem base rate by the applicable wage index value, and the proposed IPF PPS labor related-share is 75.923 percent. Consequently, for most IPFs, only 38 percent of the standard Federal per diem base rate is affected by the wage index adjustment (75.923 percent × 0.50 = 37.9615 percent), and the proposed revision to the labor market area definitions based on OMB's new CBSA-based designations would only have a minimal impact on IPF PPS payments. Therefore, because the impact of the proposed revision to the labor market area definitions would only have a minimal impact on IPF PPS payments, we do not believe it is necessary to propose a transition policy for the proposed revision to the IPF PPS labor market area definitions.

For the reasons discussed above, we are not proposing a transition under the IPF PPS from the current MSA-based labor market areas designations to the new CBSA-based labor market area designations. Rather, we are proposing under the IPF PPS to adopt the new CBSA-based labor market area definitions beginning with the July 1, 2006 IPF PPS rate year without a transition period.

As discussed below, the IPPS adopted a hold-harmless policy and an “out-commuting” adjustment. We are also not proposing a hold harmless policy or an “out-commuting” adjustment under the IPF PPS from the current MSA-based labor market areas designations to the new CBSA-based labor market area designations as discussed below. We are proposing to adopt the new CBSA-based labor market area definitions beginning with the July 1, 2006 IPF PPS rate year without a hold harmless policy and without an “out-commuting” adjustment.

We believe that our proposed policies are appropriate for IPFs because, despite some similarities between the IPF PPS and the IPPS, there are clear distinctions between the payment systems, particularly regarding wage index issues. Where a wage index adjustment has been a stable feature of the acute care hospital IPPS since its 1983 implementation and had utilized the prior MSA-based labor market area designation for over 10 years, this is not the case for the IPF PPS, which has only been implemented since January 1, 2005.

The most significant distinction between acute care hospitals under the IPPS and IPFs under the IPF PPS, is that acute care hospitals have been paid using full wage index adjusted payments since 1983 and had used the previous IPPS MSA-based labor market area designations for over 10 years, whereas under the IPF PPS, a wage index adjustment is being phased-in over a 3-year period. As previously explained, the impact that the wage index can have on IPF PPS payments is limited at this point, since only a small percentage of the IPF PPS Federal per diem base rate is affected by the wage index (approximately 38 percent in most cases) because of the 3-year phase-in of the wage index adjustment. In contrast, a transition policy to the revised IPPS labor market area definitions under the IPPS was appropriate because there is no phase-in of a wage index adjustment under the IPPS and the full labor-related share of the IPPS standardized amount (that is, Federal rate) is affected by the IPPS wage index adjustment, which resulted in a more significant projected impact for acute care hospitals under the IPPS.

As discussed in the August 11, 2004 IPPS final rule (69 FR 49032), during FY 2005, a hold harmless policy was implemented to minimize the overall impact of hospitals that were in FY 2004 designated as urban under the MSA designations, but would become rural under the CBSA designations. In the same final rule, hospitals were afforded a 3-year hold harmless policy because the IPPS determined that acute-care hospitals that changed designations from urban to rural would be substantially impacted by the significant change in wage index. Currently, under the IPF PPS urban facilities that become rural would receive the rural facility adjustment (that is, 17 percent). As discussed in section IV.C.2 of this proposed rule, we are proposing to keep the rural adjustment at 17 percent. The rural facility adjustment would be applied in the same way to urban facilities that would become rural under the CBSA-based definitions, if we were to adopt them. Thus, we believe that the impact on any urban facilities that become rural under the new definitions would be mitigated by the rural adjustment. Therefore, we do not believe it is appropriate or necessary to adopt a hold harmless policy for facilities that would experience a change in designation under the CBSA-based definitions.

In addition, we note that section 505 of the MMA established new section 1886(d)(13) of the Act. The new section 1886(d)(13) of the Act requires that the Secretary establish a process to make adjustments to the hospital wage index based on commuting patterns of hospital employees. We believe that this requirement for an “out-commuting” or “out-migration” adjustment applies specifically to the IPPS. Therefore, we are not proposing an adjustment for the IPF PPS.

We note that for the CBSA designations, we identified some geographic areas where there were no hospitals, and thus no hospital wage index data on which to base the calculation of the July 1, 2006 rate year IPF PPS proposed wage index. In addressing this situation, we are proposing approaches that we believe serve as proxies for hospital wage data and would provide an appropriate standard that accounts for geographic variation in labor costs.

The first situation involves rural locations in Massachusetts and Puerto Rico. We have determined that there are no rural hospitals in those locations. Since there is no reasonable proxy for more recent rural data within those areas, we are proposing to use last year's wage index value for rural Massachusetts and rural Puerto Rico. This approach is consistent with other Medicare PPSs (for example, SNF PPS and IRF PPS).

The second situation has to do with the urban area of Hinesville, GA (CBSA 25980). Under the proposed new labor market areas there are no urban hospitals within this area. We propose to use all of the urban areas within the State to serve as a reasonable proxy for the urban areas without specific hospital wage index data in determining the IPF PPS wage index. Therefore, in this proposed rule, we are calculating the urban wage index value for purposes of the wage index for these areas without urban hospital data as the average wage index for all urban areas within the State. This approach is consistent with other Medicare PPSs (for example, SNF PPS and IRF PPS). We could not apply a similar averaging in rural areas because in the rural areas there are no State rural hospital wage data available for averaging on a State-wide basis. We solicit comments on these approaches to calculating the wage index values for areas without hospitals for RY 2007 and subsequent years.

To facilitate an understanding of the proposed policies related to the proposed change to the IPF PPS labor market areas discussed above, in the MSA/CBSA Crosswalk included as Addendum B of this proposed rule, we are providing a listing of each Social Security Administration (SSA) State and county location code; State and county name; existing MSA-based labor market area designation; MSA-based wage index value; CBSA-based labor market area; and the new CBSA-based wage index value. We are also providing in Addenda C1 and C2 the proposed wage index for urban and rural areas based on CBSA labor market areas.

f. Wage Index Budget Neutrality

Any proposed adjustment or update to the IPF wage index would be made in a budget neutral manner that assures that the estimated aggregated payments under this subsection in the RY beginning July 1, 2006 are not greater or less than those that would have been made in the year without such an adjustment. Therefore, we would calculate a budget-neutral wage index adjustment factor. We propose to calculate this factor using the following steps:

Steps 1: Determine the total amount of the estimated IPF PPS payments for the implementation year using the labor-related share and wage indices from FY 2005 (based on MSAs).

Step 2: Calculate the total amount of estimated IPF PPS payments for RY 2007 using the proposed labor-related share and wage indices from FY 2006 (based on CBSAs).

Step 3: Divide the amount calculated in Step 1 by the amount calculated in Step 2 which yields a RY 2007 budget-neutral wage adjustment of 1.00156.

This factor would be applied in the update of the Federal per diem base rate for RY 2007.

1. Proposed Adjustment for Rural Location

In the IPF PPS Final Rule (69 FR 66954), we provided a 17 percent payment adjustment for IPFs located in a rural area. This adjustment was based on the regression analysis which indicated that the per diem cost of rural facilities was 17 percent higher than that of urban facilities after accounting for the influence of the other variables included in the regression. Many rural IPFs are small psychiatric units within small general acute care hospitals. We also stated in the IPF PPS final rule that small-scale facilities are more costly on a per diem basis because there are minimum levels of fixed costs that cannot be avoided, and they do not have the economies of size advantage.

Based on the results of our regression analysis for the final rule using the most recent complete data available (that is, FY 2002 data), we provided a payment adjustment for IPFs located in rural areas of 17 percent. In this proposed rule, we are not proposing to change this adjustment factor. In addition, we stated that we do not intend to conduct another regression analysis until we are able to analyze 1 year of IPF PPS claims and cost report data. At that time, we can compare rural and urban IPFs to determine how much more costly rural facilities are on a per diem basis under the IPF PPS. In the meantime, we are proposing to apply a 17 percent payment adjustment for IPFs located in a rural area as defined at § 412.64(b)(1)(ii)(C).

2. Proposed Teaching Adjustment

In the IPF PPS final rule, we established a facility-level adjustment for IPFs that are, or are part of, teaching institutions. The teaching status adjustment accounts for the higher indirect operating costs experienced by facilities that participate in graduate medical education (GME) programs. We have received numerous requests for clarification of the IPF PPS teaching adjustment, especially with regard to comparisons with the IPPS IME adjustment that were included in the IPF PPS final rule. As a result, we are including an expanded explanation of the IPF PPS teaching status adjustment and are proposing clarifying changes to § 412.424(d)(1)(iii) regarding the teaching adjustment.

Medicare makes direct GME payments (for direct costs such as resident and teaching physician salaries, and other direct teaching costs) to all teaching hospitals including those paid under the IPPS, and those that were once paid under the TEFRA rate-of-increase limits but are now paid under other PPSs. These direct GME payments are made separately from payments for hospital operating costs and are not part of the PPSs. However, the direct GME payments do not address the higher indirect operating costs experienced by teaching hospitals. For teaching hospitals paid under the TEFRA rate-of-increase limits, Medicare did not make separate medical education payments because payments to these hospitals were based on the hospitals' reasonable costs. Since payments under TEFRA were based on hospitals' reasonable costs, the higher indirect costs that might be associated with teaching programs would automatically have been factored into the TEFRA payments.

As previously mentioned, we conducted regression analysis of FY 2002 IPF data as the basis for the payment adjustments included in the IPF PPS final rule. In conducting the analysis, we used the resident counts reported on hospital cost reports (worksheet S-3, Part 1, line 12, column 7 for freestanding psychiatric hospitals and worksheet S-3, Part 1, line 14 (or line 14.01 for subprovider 2), column 7 for psychiatric units of acute care hospitals). That is, for the freestanding psychiatric hospitals, we used the number of residents and interns reported for the entire hospital. For the psychiatric units of acute care hospitals, we used the number of residents and interns reported for the psychiatric unit, which are reported separately on the cost report from the number reported for the rest of the hospital.

The regression analysis (with the logarithm of costs as the dependent variable) showed that the indirect teaching cost variable is significant in explaining the higher costs of IPFs that have teaching programs. We calculated the teaching adjustment based on the IPF's “teaching variable,” which is one plus the ratio of the number of full-time equivalent (FTE) residents training in the IPF (subject to limitations described below) to the IPF's average daily census (ADC).

In the cost regressions conducted for the IPF PPS final rule, the logarithm of the teaching variable had a coefficient value of 0.5150. We converted this cost effect to a teaching payment adjustment by treating the regression coefficient as an exponent and raising the teaching variable to a power equal to the coefficient value. In other words, the teaching adjustment is calculated by raising the teaching variable (1 + FTE residents/ADC) to the 0.5150 power. To compute the percentage increase in the IPF PPS payment attributable to the teaching adjustment (that is, the amount to be reconciled at cost report settlement), raise the teaching variable (1 + FTE residents/ADC) to the 0.5150 power. For example, for an IPF with a teaching variable of 0.10 and using a coefficient value of 0.5150, the per diem payment would increase by 5.03 percent; for an IPF with a teaching variable of 0.05, the per diem payment would increase by 2.54 percent. We note that the coefficient value of 0.5150 was based on regression analysis holding all other components of the payment system constant.

In addition, we established the teaching adjustment in a manner that limited the incentives for IPFs to add FTE residents for the purpose of increasing their teaching adjustment. We imposed a cap on the number of FTE residents that may be counted for purposes of calculating the teaching adjustment, similar to that established by sections 4621 (IME FTE cap for IPPS hospitals) and 4623 (direct GME FTE cap for all hospitals) of the BBA. We emphasize that the cap limits the number of FTE residents that teaching IPFs may count for the purposes of calculating the IPF PPS teaching adjustment, not the number of residents teaching institutions can hire or train.

The FTE resident cap is applied the same way in freestanding teaching psychiatric hospitals and in distinct part psychiatric units with GME programs. Similar to the regulations for counting FTE residents under the IPPS as described in § 412.105(f), we calculated the number of FTE residents that trained in the IPF during a “base year” and use that FTE resident number as the cap. An IPF's FTE resident cap would ultimately be determined based on the final settlement of the IPF's most recent cost report filed before November 15, 2004 (that is, the publication date of the IPF PPS final rule).

Similar to teaching hospitals under the IPPS, IPFs that first begin training residents after November 15, 2004 initially receive an FTE cap of “0”. The FTE caps for teaching IPFs (whether they are new or existing IPFs) that start training residents in a new GME program (may be subsequently adjusted in accordance with the IPPS policies described in § 412.105(f)(1)(vii) and GME policies described in § 413.79(e)(1)(i) and (ii). For purposes of this section, a new medical residency training program means a medical residency that receives initial accreditation by the appropriate accrediting body or begins training residents on or after November 15, 2004. However, contrary to the policy for IME FTE resident caps under the IPPS, we do not allow IPFs to aggregate the FTE resident caps used to compute the IPF PPS teaching adjustment through affiliation agreements. We included these policies because we believe it is important to limit the total pool of resident FTE cap positions within the IPF community and avoid incentives for IPFs to add FTE residents in order to increase their payments.

Residents with less than full-time status and residents rotating through the psychiatric hospital or unit for less than a full year are counted in proportion to the time they spend in their assignment with the IPF (for example, a resident on a full-time, 3-month rotation to the IPF would be counted as 0.25 FTE for purposes of counting residents to calculate the ratio). No FTE resident time counted for purposes of the IPPS IME adjustment is counted for purposes of the teaching status adjustment for the IPF PPS.

As noted previously, the denominator used to calculate the teaching adjustment under the IPF PPS is the IPF's average daily census (ADC) from the current cost reporting period. We chose to use the ADC because it is closely related to the IPF's patient load, which affects the number of interns and residents the IPF can train. We also believe the ADC is a measure that can be defined precisely and is difficult to manipulate. Although the IPPS IME adjustment uses the hospital's number of beds as the denominator, the capital PPS (as specified at § 412.322) and the IRF PPS (as specified at § 412.624(e)(4) both use the ADC as the denominator for the indirect medical education and teaching adjustments, respectively.

If a psychiatric hospital's or unit's FTE count of residents in a given year is higher than the FTE count in the base year (the base year being used to establish the cap), we base payments in that year on the lower number (the cap amount). This approach is consistent with the IME adjustment under the IPPS and the teaching adjustment under the IRF PPS. The IPF remains free to add FTE residents above the cap amount, but it cannot count the number of FTE residents above the cap for purposes of calculating the teaching adjustment. This means that the cap serves as an upper limit on the number of FTE residents that may be counted for purposes of calculating the teaching status adjustment. IPFs can adjust their number of FTE residents counted for purposes of calculating the teaching adjustment as long as they remain under the cap. On the other hand, if a psychiatric hospital or unit were to have fewer FTE residents in a given year than in the base year (that is, fewer residents than its FTE resident cap), teaching adjustment payments in that year would be based on the lower number (that is, the current year's FTE count of resident).

In response to inquiries about how the teaching adjustment is applied under the IPF PPS, we are proposing to add a new paragraph § 412.424(d)(1)(iii)(E) to clarify that the teaching adjustment is made on a claim basis as an interim payment and the final payment for the claim would be made in full during the final settlement of the cost report. The difference between those interim payments and the actual teaching adjustment amount computed in the cost report would be adjusted through lump sum payments/recoupments when the cost report is filed and later settled.

As noted in section III.B.3 of this proposed rule, in reviewing the methodology used to simulate the IPF PPS payments used for the IPF PPS final rule, we discovered that the computer code incorrectly assigned non-teaching status to most teaching facilities. As a result, total IPF PPS payments were underestimated by about 1.36 percent. To resolve the issue, as discussed in section III.B.3 of this proposed rule, we are proposing to amend the Federal per diem base rate prospectively for all IPFs.

As with other adjustment factors derived through the regression analysis, we do not intend to rerun the regression analysis until we can analyze 1 year of IPF PPS claims and cost report data. Until then, we are proposing to retain the 0.5150 teaching adjustment to the Federal per diem base rate.

3. Proposed Cost of Living Adjustment for IPFs Located in Alaska and Hawaii

The IPF PPS includes a payment adjustment for IPFs located in Alaska and Hawaii based upon the county in which the IPF is located. As we explained in the IPF PPS final rule, the FY 2002 data demonstrated that IPFs in Alaska and Hawaii had per diem costs that were disproportionately higher than other IPFs. Other Medicare prospective payment systems (for example, IPPS and IRF PPS) have adopted a cost of living adjustment (COLA) to account for the cost differential of care furnished in Alaska and Hawaii. We analyzed the effect of applying a COLA to payments for IPFs located in Alaska and Hawaii. The results of our analysis demonstrated that a COLA for IPFs located in Alaska and Hawaii would improve payment equity for these facilities. As a result of this analysis, we provided a COLA adjustment in the IPF PPS final rule.

In general, the COLA would account for the higher costs in the IPF and eliminate the projected loss that IPFs in Alaska and Hawaii would experience absent the COLA. A COLA adjustment for IPFs located in Alaska and Hawaii is made by multiplying the non-labor share of the Federal per diem base rate by the applicable COLA factor based on the county in which the IPF is located.

Table 14 lists the specific COLA for Alaska and Hawaii IPFs. The COLA factors were obtained from the U.S. Office of Personnel Management (OPM). The COLA factors are published on the U.S. Office of Personnel Management (OPM) website ( http://www.opm.gov/oca/cola/rates.asp ). We are proposing to adopt the COLA adjustments obtained from OPM. We propose to update the COLA factors if OPM updates them and as updated by OPM. Any change in the COLA factors would be made in one of our IPF PPS RY update documents. We are proposing to amend § 412.428 to update the COLA factors if appropriate.

Table 14.—Proposed COLA Factors for Alaska and Hawaii IPFs

Location COLA
Alaska:
All areas 1.25
Hawaii:
Honolulu County 1.25
Hawaii County 1.165
Kauai County 1.2325
Maui County 1.2375
Kalawao County 1.2375

4. Proposed Adjustment for IPFs With a Qualifying Emergency Department (ED)

Currently, the IPF PPS includes a facility-level adjustment for IPFs with qualifying EDs. As explained in the IPF PPS final rule, we provide an adjustment to the standardized Federal per diem base rate to account for the costs associated with maintaining a full-service ED. The adjustment is intended to account for ED costs allocated to the hospital's distinct part psychiatric unit for preadmission services otherwise payable under Medicare Part B furnished to a beneficiary during the day immediately preceding the date of admission to the IPF (see § 413.40(c)) and the overhead cost of maintaining the ED. This payment is a facility-level adjustment that applies to all IPF admissions (with the one exception as described below), regardless of whether a particular patient receives preadmission services in the hospital's ED.

The ED adjustment is incorporated into the variable per diem adjustment for the first day of each stay for IPFs with a qualifying ED. That is, IPFs with a qualifying ED receive a 31 percent adjustment as the variable per diem adjustment for day 1 of each stay. If an IPF does not have a qualifying ED, it receives a 19 percent adjustment as the variable per diem adjustment for day 1 of each patient stay.

While any IPF with a qualifying ED receives the adjustment, the adjustment is paid most often to IPFs that are psychiatric units of acute care hospitals or CAHs because these providers are more likely to have an ED that meets the definition of a qualified ED in § 412.424(d)(1)(v). We defined a qualifying ED in order to avoid providing the ED adjustment to an intake unit that is not comparable to a full-service ED with respect to the array of emergency services available or cost. We defined a qualifying ED as one that is staffed and equipped to furnish a comprehensive array of emergency services and that meets the definition of a “dedicated emergency department” as specified in § 489.24(b) and the definition of “provider-based status” as specified in § 413.65. We intended that a qualifying ED provide a comprehensive array of medical and psychiatric services.

Therefore, in order to clarify that a comprehensive array of emergency services includes medical as well as psychiatric services, we are proposing to amend § 412.424(d)(1)(V)(A).

As specified in § 489.24, a dedicated ED means “any department or facility of the hospital, regardless of whether it is located on or off the main hospital campus, that meets at least one of the following requirements:

  • It is licensed by the State in which it is located under applicable State law as an emergency room or emergency department;
  • It is held out to the public (by name, posted signs, advertising, or other means) as a place that provides care for emergency medical conditions on an urgent basis without requiring a previously scheduled appointment; or
  • During the calendar year immediately preceding the calendar year in which a determination under this section is being made, based on a representative sample of patient visits that occurred during the calendar year, it provides at least one-third of all its outpatient visits for the treatment of emergency medical conditions on an urgent basis without requiring a previously scheduled appointment.”

As specified in § 413.65, provider-based status means “the relationship between a main provider and a provider-based entity or a department of a provider, remote location of a hospital, or satellite facility that complies with the provisions.” Including provider-based status in the definition of a qualifying ED reflects the common ownership of the hospital and the distinct part psychiatric unit.

As discussed in the IPF PPS final rule, three steps were involved in the calculation of the ED adjustment factor.

Step 1: We estimated the proportion by which the ED costs of a case would increase the cost of the first day of the stay. Using the IPFs with ED admissions in FY 2002, we divided their average ED cost per stay admitted through the ED ($198) by their average cost per day ($715), which equals 0.28.

Step 2: We adjusted the factor estimated in Step 1 to account for the fact that we would pay the higher first day adjustment for all cases in the qualifying IPFs, not just the cases admitted through the ED. Since on average, 44 percent of the cases in IPFs with ED admissions are admitted through the ED, we multiplied 0.28 by 0.44, which equals 0.12.

Step 3: We added the adjusted factor calculated in the previous 2 steps to the variable per diem adjustment derived from the regression equation that we used to derive our other payment adjustment factors. The first day payment factor from this regression is 1.19. Adding the 0.12, we obtained a first day variable per diem adjustment for IPFs with a qualifying ED equal to 1.31.

The ED adjustment is made on every qualifying claim except as described below. As specified in § 412.424(d)(1)(V)(B), the ED adjustment is not made where a patient is discharged from an acute care hospital or CAH and admitted to the same hospital's or CAH's psychiatric unit. An ED adjustment is not made in this case because the costs associated with ED services are reflected in the DRG payment to the acute care hospital or through the reasonable cost payment made to the CAH. As we explained in the IPF PPS final rule, if we provided the ED adjustment in these cases, the hospital would be paid twice for the overhead costs of the ED (69 FR 66960).

Therefore, when patients are discharged from an acute care hospital or CAH and admitted to the same hospital's or CAH's psychiatric unit, the IPF receives the 1.19 adjustment factor as the variable per diem adjustment for the first day of the patient's stay in the IPF. As with other adjustment factors under the IPF PPS, we do not intend to conduct a new regression analysis for this IPF PPS update. Rather, we intend to wait until we can analyze 1 year of IPF PPS claims and cost report data. Therefore, we are proposing to retain the 1.31 adjustment factor for IPFs with qualifying EDs for the rate year beginning July 1, 2006. As we indicated in the final rule, in FY 2002, one third of the IPFs admissions were through the ED. Commenters on the IPF PPS proposed rule indicated that the percentage of admissions through the ED were understated. We plan to monitor claims data to determine the number of IPF admissions admitted through the ED.

a. Proposed New Source of Admission Code To Implement the ED Adjustment

In order to ensure that the ED adjustment is not paid for patients who are discharged from an acute care hospital or CAH and admitted to the same hospital's or CAH's psychiatric unit, we directed IPFs to enter source of admission code 4 (transfers from hospital inpatient) on those claims. The source of admission code is a required field on Medicare claims and indicates the source of the patient admissions. However, as we have implemented the IPF PPS, we have realized that admission code 4 is too broad to distinguish these claims because it reflects transfers from any acute care hospital or CAH. Currently, where admission code 4 is entered on a claim, the ED adjustment is not paid, even if the patient is transferred from a different acute hospital or CAH.

In order to pay these IPF claims appropriately, CMS requested a new source of admission code from the National Uniform Billing Committee to identify transfers from the same hospital or CAH. On June 7, 2005, the National Uniform Billing Committee granted our request to establish a new source of admission code to indicate transfers from the same hospital or CAH. The new source of admission code “D” is effective April 1, 2006. We are proposing that the new code would be used by IPFs to identify IPF patients who have been transferred to the IPF from the same hospital or CAH. Claims with source of admission code “D” would not receive the ED adjustment.

b. Applicability of the ED Adjustment to IPFs in Critical Access Hospitals

The BBA created the CAH program, designed to represent a separate provider type to provide acute care services in rural areas. Generally, in order to qualify as a CAH, a hospital must be located in a rural area, provide 24-hour emergency care services, have an average length of stay of 96 hours or less, operate up to 25 beds for inpatient critical access care, be located more than 35 miles from a hospital or another CAH or more than 15 miles in mountainous terrain or only secondary roads, or be certified by the State as of December 31, 2005 as being a “necessary provider” of health care services to residents in the area.

Section 405(g) of the MMA authorizes CAHs to establish distinct part psychiatric and rehabilitation units of up to 10 beds effective for cost reporting periods beginning on or after October 1, 2004. Services in these units are paid under the payment methodology that would apply if such services were provided in a distinct part psychiatric or rehabilitation unit of a hospital. As a result, IPFs that are distinct part units of CAHs are paid the same as if they were a distinct part unit of a hospital. Otherwise, the CAH is paid on a reasonable cost basis for inpatient critical access services.

In the IPF PPS final rule, we amended §413.70(e) to clarify that payments for services of distinct part psychiatric units in CAHs are made in accordance with the IPF PPS. In order to pay CAHs the same as other IPFs, CAHs would be subject to the 1-day preadmission services bundling provision specified in § 413.40(c)(2) for patients who are admitted to the CAH's IPF. As a result, the cost of preadmission services, including ED services furnished to CAH IPF patients would be allocated to the IPF.

D. Other Payment Adjustments and Policies

[If you choose to comment on issues in this section, please include the caption “OTHER ADJUSTMENTS AND POLICIES” at the beginning of your comments.]

The IPF PPS includes the following payment adjustments: (1) An outlier policy to promote access to IPF care for those patients who require expensive care and to limit the financial risk of IPFs treating unusually costly patients; (2) a stop-loss provision, applicable during the transition period, to reduce financial risk to IPFs projected to experience substantial reductions in Medicare payments under the IPF PPS; (3) an interrupted stay policy to avoid overpaying stays that include a brief absence from the IPF followed by readmission to the IPF; and (4) a payment for patients who receive ECT. We are proposing to update those policies in this proposed rule. We are also proposing clarifications to the physician certification and recertification requirements in order to ensure consistent practices across IPFs. In addition, we are clarifying coverage of recreation therapy.

1. Outlier Payments

In the IPF PPS final rule, we implemented regulations at § 412.424(d)(3)(i) to provide a payment adjustment for IPF stays that have extraordinarily high costs. Providing additional payments for outlier cases to IPFs that are beyond the IPF's control strongly improves the accuracy of the IPF PPS in determining resource costs at the patient and facility level because facilities receive additional compensation over and above the adjusted Federal prospective payment amount for uniquely high-cost cases. These additional payments reduce the financial losses that would otherwise be caused by treating patients who require more costly care and, therefore, reduce the incentives to under-serve these patients.

Under the IPF PPS, outlier payments are made on a per case basis rather than on a per diem basis because it is the overall financial “gain” or “loss” of the case, and not of individual days, that determines an IPF's financial risk. In addition, because patient-level charges (from which costs are estimated) are typically aggregated for the entire IPF stay, they are not reported in a manner that would permit accurate accounting on a daily basis.

Currently, we make outlier payments for discharges in which an IPF's estimated total cost for a case exceeds a fixed dollar loss threshold amount (multiplied by the IPF's facility-level adjustments) plus the Federal per diem payment amount for the case.

In instances when the case qualifies for an outlier payment, we pay 80 percent of the difference between the estimated cost for the case and the adjusted threshold amount for days 1 through 9 of the stay (consistent with the median length of stay for IPFs in FY 2002), and 60 percent of the difference for day 10 and thereafter. We established the 80 percent and 60 percent loss sharing ratios because we were concerned that a single ratio established at 80 percent (like other Medicare hospital PPSs) might provide an incentive under the IPF per diem payment system to increase length of stay in order to receive additional payments. After establishing the loss sharing ratios, we determined the current fixed dollar loss threshold amount of $5,700 through payment simulations designed to compute a dollar loss beyond which payments are estimated to meet the 2 percent outlier spending target.

a. Proposed Update to the Outlier Fixed Dollar Loss Threshold Amount

As indicated in section II.A of this proposed rule, in accordance with the update methodology described in § 412.428(d), we are proposing to update the fixed dollar loss threshold amount used under the IPF PPS outlier policy. Based on the regression analysis and payment simulations used to develop the IPF PPS, we established a 2 percent outlier policy to make an appropriate balance between protecting IPFs from extraordinarily costly cases while ensuring the adequacy of the Federal per diem base rate for all other cases that are not outlier cases.

We continue to believe a 2 percent outlier policy is an appropriate target percentage and are proposing to retain the 2 percent outlier policy. However, we believe it is necessary to update the fixed dollar loss threshold amount because analysis of the latest available data indicates adjusting the fixed dollar loss amount is necessary in order to maintain an outlier percentage that equals 2 percent of total estimated IPF PPS payments. We intend to continue to analyze estimated outlier payments for subsequent years using the best available data in order to maintain estimated outlier payments at 2 percent of total estimated IPF PPS payments.

We have determined that in certain sections of the IPF PPS final rule, we used the phrase “Fixed-dollar loss threshold” and, in other sections, we used the phrase “Fixed-dollar loss amount” to describe the dollar amount by which the costs of a case exceed payment in order to qualify for an outlier payment. In order to avoid confusion regarding these phrases, we are proposing to use the term “fixed-dollar loss threshold amount” when we are referring to the dollar amount by which the costs of a case exceed payment in order to qualify for an outlier payment.

As a result of this clarification, in § 412.402, we are proposing to revise the term “Fixed dollar loss threshold” to “Fixed dollar loss threshold amount.” We are also proposing clarifying changes to § 412.424(d)(3)(i) and § 412.424(d)(3)(i)(A) to state that we would provide an outlier payment if an IPF's estimated total cost for a case exceeds a “fixed dollar loss threshold amount” plus the total IPF adjusted payment amount for the stay, and that it is the fixed dollar loss threshold amount that is adjusted by the IPF's facility-level adjustments.

Aside from updating the terminology “fixed dollar loss threshold amount” and making the conforming changes to the regulation text described above, we are not proposing any other changes to the outlier policy. Therefore, we would continue to adjust the fixed dollar loss threshold amount by the applicable facility-level payment adjustments and add this amount to the IPF PPS payment amount in order to determine if a case qualifies for an outlier payment. For cases that meet the threshold amount, we would pay 80 percent for days 1 through 9 and 60 percent for day 10 and thereafter.

In the IPF PPS final rule, we described the process by which we calculate the outlier fixed dollar loss threshold amount. We are proposing to continue to use this process in this proposed rule. We begin by simulating aggregate payments with and without an outlier policy, and applying an iterative process to a fixed dollar loss amount that would result in outlier payments being equal to 2 percent of total simulated payments under the simulation. Based on this process, we are proposing $6200 as the fixed dollar loss threshold amount in the outlier calculation in order to maintain the proposed 2 percent outlier policy.

We note that the simulation analysis used to calculate the proposed $6200 fixed dollar loss threshold amount includes all of the proposed changes to the IPF PPS discussed in this proposed rule. As a result, for the RY beginning July 1, 2006, the final fixed dollar loss threshold amount is subject to change in the final rule depending on the policies contained in the final rule.

b. Proposed Statistical Accuracy of Cost-to-Charge Ratios

As stated previously, under the IPF PPS, an outlier payment is made if an IPF's cost for a stay exceeds a fixed dollar loss threshold amount. In order to establish an IPF's cost for a particular case, we multiply the IPF's reported charges on the discharge bill by their overall cost to charge ratio (CCR). This approach to determining a provider's cost is consistent with the approach used under the IPPS and other prospective payment systems. In FY 2004, we implemented changes to the IPPS outlier policy used to determine CCRs for acute care hospitals because we became aware that payment vulnerabilities resulted in inappropriate outlier payments. Under the IPPS, we established a statistical measure of accuracy for CCRs in order to ensure that aberrant CCR data did not result in inappropriate outlier payments. As we indicated in the IPF PPS final rule, because we believe the IPF outlier policy is susceptible to the same payment vulnerabilities as the IPPS, we adopted an approach to ensure the statistical accuracy of CCRs under the IPF PPS. Therefore, we adopted the following two procedures in the IPF PPS final rule:

  • We calculated two national ceilings, one for IPFs located in rural areas and one for IPFs located in urban areas. We computed the ceilings by first calculating the national average and the standard deviation of the CCR for both urban and rural IPFs.

To determine the rural and urban ceilings, we multiplied each of the standard deviations by 3 and added the result to the appropriate national CCR average (either rural or urban). The current upper threshold CCR for IPFs is 1.8853 for rural IPFs, and 1.8040 for urban IPFs, based upon MSA-based geographic designations. If an IPF's CCR is above the applicable ceiling, the ratio is considered statistically inaccurate and we assign the appropriate national (either rural or urban) median CCR to the IPF.

Additional information regarding the national median CCRs is included in the IPF PPS final rule (69 FR 66961).

  • We do not apply the applicable national median CCR when an IPF's CCR falls below a floor. We made this decision because using the national median CCR in place of the provider's actual CCR would overstate the IPF's costs. We are proposing to apply the national CCRs to the following situations:

++ New IPFs that have not yet submitted their first Medicare cost report.

++ IPFs whose operating or capital CCR is in excess of 3 standard deviations above the corresponding national geometric mean (that is, above the ceiling).

++ Other IPFs for whom the fiscal intermediary obtains inaccurate or incomplete data with which to calculate either an operating or capital CCR or both.

The current national CCRs were estimated to be 0.7115 for rural IPFs and 0.5658 for urban IPFs and would be used in each of the three situations cited above. These estimates were based on the IPF's location (either urban or rural) using the MSA-based geographic designations. For new facilities, we are proposing to use these national ratios until the facility's actual CCR can be computed using the first tentatively settled or final settled cost report, which would then be used for the subsequent cost report period.

We are not proposing any changes to the procedures for ensuring the statistical accuracy of CCRs in RY 2007. However, we are proposing to update the national urban and rural CCRs (ceilings and medians) for IPFs for RY 2007 based on the full calendar year 2005 CCRs entered in the Provider-Specific File. In addition, we are proposing that the updated ceilings and national median CCRs would be based on CBSA-based geographic designations because the CBSAs are the geographic designations we are proposing to adopt for purposes of computing the proposed wage index adjustment to IPF payments beginning July 1, 2006. We would include the updated ceiling and national median CCRs in the final RY 2007 regulations.

In subsequent years, we are proposing to update the national urban and rural CCRs (median and ceilings) based on the previous full calendar year's Provider-Specific File. These CCRs would be announced in each year's annual notice of prospective payment rates published in the Federal Register. We are proposing to add a new paragraph (g) to § 412.428 to clarify that we intend to update the national urban and rural ceilings and medians as part of the annual update of the IPF PPS and to specify when the national median urban and rural CCRs would be used.

1. Proposed Stop-Loss Provision

In the IPF PPS final rule, we implemented a stop-loss policy to reduce financial risk for those facilities expected to experience substantial reductions in Medicare payments during the IPF PPS transition period. This stop-loss policy guarantees that each facility receives total IPF PPS payments that are no less than 70 percent of its TEFRA payments, had the IPF PPS not been implemented.

This policy is applied to the IPF PPS portion of Medicare payments during the 3-year transition. Hence, during year 1, three-quarters of the payment were based on TEFRA and one-quarter on the IPF PPS. Under the 70 percent policy, 75 percent of total payment is TEFRA payments, and the 25 percent is IPF PPS payments, which are at least 70 percent of the TEFRA payments. The resulting 92.5 percent of TEFRA payments in year 1 is the sum of 75 percent and 25 percent times 70 percent.

In year 2, one-half of the payment will be based on TEFRA and one-half on the IPF PPS. In year 3, one-quarter of the payment will be based on TEFRA and three-quarters on the IPF PPS. In year 4 of the IPF PPS, Medicare payments are based 100 percent on the IPF PPS.

The combined effects of the transition and the stop-loss policies will be to ensure that the total estimated IPF PPS payments were no less than 92.5 percent in year 1, 85 percent in year 2, and 77.5 percent in year 3.

The 70 percent of TEFRA payment stop-loss policy will require a reduction in the Federal per diem and ECT base rates of 0.39 percent in order to make the stop-loss payments budget neutral. We estimate that about 10 percent of IPFs would receive stop-loss payments under the 70 percent policy.

We are not proposing to make any changes to the stop-loss policy.

2. Patients Who Receive Electroconvulsive Therapy (ECT)

In developing the IPF PPS, we received numerous public comments recommending that we include a payment adjustment for patients who receive ECT treatments during their IPF stay because furnishing ECT treatment, either directly or under arrangements, adds significantly to the cost of these stays. When we analyzed the FY 2002 MedPAR data, we found that ECT cases comprised about 6 percent of all cases and that almost 95 percent of ECT cases were treated in IPFs that are psychiatric units of acute care hospitals. Even among psychiatric units, ECT cases are concentrated among a relatively small number of facilities. Overall, approximately 450 facilities had cases with ECT. Among these facilities, we estimated the mean number of ECT cases per facility to be approximately 25. In addition, approximately one-half of the IPFs providing ECT had no more than 15 cases in FY 2002.

Our analysis confirmed that cases with ECT are substantially more costly than cases without ECT. We found that on a per case basis, ECT cases are approximately twice as expensive as non-ECT cases ($16,287 compared to $7,684). Most of this difference is due to variation in length of stay (20.5 days for ECT cases compared to 11.6 days for non-ECT cases). In addition, the ancillary costs per case for ECT cases are $2,740 higher than those for non-ECT cases.

Although we are able to determine the cost of stays with ECT, we are unable to develop an ECT cost per treatment using the FY 2002 IPF claims data because the claims do not include the number of treatments. As a result, in the IPF PPS final rule, we established the following methodology for calculating the IPF PPS ECT payment adjustment.

We established an ECT base rate using the pre-scaled and pre-adjusted median hospital cost for CPT procedure code 90870 used for payment under hospital outpatient PPS (OPPS), based on hospital claims data. The median cost for all OPPS services are posted after publication of the OPPS proposed rule at the following address: http://www.cms.hhs.gov/hospitaloutpatientPPS. We used unadjusted hospital claims data under the OPPS, that is, the pre-scaled and pre-adjusted median hospital cost per treatment, to establish the ECT base rate because we did not want the ECT payment under the IPF PPS to be affected by factors that are relevant to OPPS but not specifically applicable to IPFs. The median cost ($311.88) was then standardized and adjusted for budget neutrality, resulting in an ECT payment adjustment of $247.96 per treatment. The ECT base rate is adjusted for wage and COLA differences in the same manner that we adjust the Federal per diem base rate.

In order to receive the payment adjustment, IPFs must indicate on their claims the revenue code for ECT (901), along with the total number of units (ECT treatments) provided to the patient during their IPF stay. In addition, IPFs must include the ICD-9-CM procedure code for ECT (94.27) and the date of the last ECT treatment the patient received.

As we stated in the IPF PPS final rule, although we established the ECT adjustment as a distinct payment under the IPF PPS, our preferred approach would be to include a patient level adjustment as a component of the model (for example, determined through the regression analyses) to account for the higher costs associated with ECT (69 FR 66951). Although our analysis will continue, we do not intend to redo the regression analysis until we are able to analyze 1 year of IPF PPS claims and cost report data. However, we believe the data currently being submitted by IPFs may permit development of an IPF-specific ECT base rate, rather than using hospital outpatient claims data.

It is important to note that since ECT treatment is a specialized procedure, not all providers are equipped to provide the treatment. Therefore, many patients who need ECT treatment during their IPF stay must be referred to other providers to receive the ECT treatments, and then return to the IPF. In accordance with § 412.404(d)(3), in these cases where the IPF is not able to furnish necessary treatment directly, the IPF would furnish ECT under arrangements with another provider. While a patient is an inpatient of the IPF, the IPF is responsible for all services furnished, including those furnished under arrangements by another provider. As a result, the IPF claim for these cases should reflect the services furnished under arrangements by other providers.

Therefore, in accordance with the update methodology specified in § 412.428(f), we are proposing to update the ECT base rate using the pre-scaled pre-adjusted hospital median cost for ECT used for the CY 2006 update of the OPPS. The median cost would then be standardized, adjusted for budget neutrality, and adjusted for wage and COLA differences in the same manner that we adjust the per diem rate.

We are proposing to pay the median cost for an ECT treatment, posted as part of the calendar year (CY) 2006 OPPS update, which is based on CY 2004 outpatient hospital claims. The median cost is $324.44. After applying the standardization factor and the wage index budget neutrality factor (as described in section III.C.1.f. of this proposed rule), the adjusted proposed ECT payment for RY 2007 is $268.21.

We would monitor this area to ensure that the increased payments for ECT do not lead to changes in the frequency of utilization by reviewing the CY 2005 MedPAR claims data.

3. Physician Certification and Recertification Requirements

Since the publication of the IPF PPS final rule, we have received inquiries related to physician certification and recertification. It appears that some psychiatric units in acute care hospitals have been following the timeframes that are applicable to the acute care hospital of which they are a part (as specified in § 424.13) rather than those that apply to psychiatric hospitals (as specified in § 424.14).

To eliminate the confusion that we believe may be caused by the titles of § 424.13 and § 424.14, to ensure consistency in compliance of the requirements among all IPFs, we are proposing to revise the title of § 424.14 from “Requirements for inpatient services of psychiatric hospitals” to “Requirements for inpatient services of inpatient psychiatric facilities.” We are proposing that for the purposes of payment under the IPF PPS, all IPFs would follow the physician certification and recertification requirements as specified in § 424.14.

In the IPF proposed rule published on November 28, 2003 (68 FR 66920), we proposed to—(1) amend § 424.14 to state that in recertifying a patient's need for continued inpatient care in an IPF, a physician must indicate that the patient continues to need, on a daily basis, inpatient psychiatric care (furnished directly by or requiring the supervision of IPF personnel) or other professional services that, as a practical matter, can be provided only on an inpatient basis; and (2) revise § 424.14(d) to require that a physician recertify a patient's continued need for inpatient psychiatric care on the 10th day following admission to the IPF rather than the 18th day following admission to the IPF (68 FR 66939).

However, in the IPF PPS final rule, we did not include the proposed physician recertification requirement changes because most of the public comments we received on this issue did not support the proposed changes and indicated that there are inconsistencies in the timeframes currently required for IPFs that warranted additional analysis. Instead, we stated that we would continue to require that a physician recertify a patient's continued need for inpatient psychiatric care on the 18th day following admission to the IPF.

Since publication of the final rule, we have received additional inquiries related to the physician certification and recertification timeframes that currently apply to IPFs. As noted above, it appears that some psychiatric units in acute care hospitals have been following the timeframes that are applicable to the acute care hospital of which they are a part (as specified in § 424.13) rather than those that apply to psychiatric hospitals (as specified in § 424.14). Section 424.13(d) requires the initial certification no later than as of the 12th day of hospitalization and the first recertification is required no later than as of the 18th day of hospitalization. Section § 424.14(d) requires certification at the time of admission or as soon thereafter as is reasonable and practicable and the first recertification is required as of the 18th day of hospitalization.

We are proposing that, for purposes of payment under the IPF PPS, all IPFs (distinct part units of acute care hospitals and CAHs and psychiatric hospitals) would meet the following physician certification and recertification timeframes. We would revise § 424.14(d) to provide that the initial physician certification would be required at the time of admission or as soon thereafter as is reasonable and practicable and the first recertification would be required as of the 12th day of hospitalization. Subsequent recertifications would be required at intervals established by the hospital's UR committee (on a case-by-case basis if desired), but no less frequently than every 30 days. We chose the 12th day because it is more in line with the average LOS and it is current practice for certification in psychiatric units.

We have also received inquiries from Fiscal Intermediaries requesting guidance on the content requirement of physician certifications at § 424.14(c), relating to the medical necessity of continued inpatient psychiatric care. As a result, we are proposing to add language to clarify that for purposes of payment under the IPF PPS, the physician would also recertify that the patient continues to need, on a daily basis, active treatment furnished directly by or requiring the supervision of inpatient psychiatric facility personnel.

4. Provision of Therapeutic Recreation in IPFs

Before the implementation of the IPPS payment methodology, Medicare coverage guidelines gave specific recognition to therapeutic recreation in inpatient psychiatric hospitals. The guidelines in § 3102.1.A of the Medicare Intermediary Manual, Part 3 (MIM-3), and in § 212.1 of the Medicare Hospital Manual (which now appear in the CMS Internet Online Manual at Pub. 100-02, Chapter 2, §§ 20.1ff.) specifically identify therapeutic recreation as one of the services that can constitute “active treatment” in this setting when they are—

  • Provided under an individualized treatment or diagnostic plan;
  • Reasonably expected to improve the patient's condition or for the purpose of diagnosis; and
  • Supervised and evaluated by a physician.

However, these guidelines refer to therapeutic recreation in terms of being an “adjunctive” therapy, indicating that even in this setting, it would not independently serve as a patient's sole or primary form of therapeutic treatment, but rather, would be furnished in support of (but subordinate to) some other, primary form of therapy.

When the IPPS was developed in 1983, to the extent that therapeutic recreation and other services had been furnished during the IPPS base period, the bundled IPPS payment for that setting would reflect these costs. However, during the IPPS rulemaking process, we received public comments stating “* * * concern that the cost-saving incentives of the prospective payment system would lead hospitals paid under the system to stop providing recreational therapy services.” In response, in the January 3, 1984 IPPS final rule (49 FR 242) we indicated that implementation of the IPPS would not, in fact, prohibit the provision of recreational therapy services, and that “* * * these services will continue to be covered to the same extent they always have been under existing Medicare policies”.

In implementing the IPPS regulations, we included criteria for identifying certain types of institutions (for example, psychiatric hospitals) that would be excluded from the IPPS and, thus, would continue to be paid under some other methodology. The regulations also introduced criteria for identifying an IPPS-excluded inpatient psychiatric unit housed within a larger acute-care hospital that would itself be subject to the IPPS. One of these identifying criteria at 42 CFR 405.471(c)(4)(ii)(B) (later recodified at 42 CFR 412.27(b)) was the provision, through the use of qualified personnel, of a number of specified types of services, including psychological services, social work services, psychiatric nursing, occupational therapy, and recreational therapy.

As we explained in the IPPS interim final rule published on September 1, 1983 (48 FR 39758), the regulations designated these particular services because their provision “* * * is typical of units which treat patients whose characteristics are like those in psychiatric hospitals. Consequently, the provision of these services is an identifier of such a patient population”. We note that the designation of these particular services in this context did not serve to define the scope of their coverage under Medicare, nor to mandate their provision in this setting, but merely to identify them as being characteristic of the type of psychiatric unit that would qualify for exclusion from the IPPS.

At the same time the IPPS was being developed, a parallel evolution was taking place in the certification requirements that facilities must meet in order to participate in the Medicare program: A shift from primarily “process-oriented” requirements to more “outcome-oriented” requirements, which focus more on direct indicators of the quality of care actually being furnished to the facility's patients (as reflected in the presence of positive results and the absence of negative ones), and less on the specific “process” through which the facility achieves the desired outcome.

In order to participate in the Medicare program, psychiatric hospitals not only had to meet the conditions of participation (COPs) that apply to general, acute-care hospitals, but additionally had to meet special conditions related to medical records and staffing. Consistent with the recognition of therapeutic recreation as constituting active treatment in this one particular setting (as discussed above), the original COPs for psychiatric hospitals at 42 CFR 405.1038(g) mandated the presence of qualified therapists, assistants, or aides “* * * sufficient in number to provide comprehensive therapeutic activities, including at least occupational, recreational and physical therapy, as needed, to assure that appropriate treatment is rendered for each patient, and to establish and maintain a therapeutic milieu.” Furthermore, 42 CFR 405.1038(g)(3) further specified that “recreational or activity therapy services are available under the direct supervision of a member of the staff who has demonstrated competence in therapeutic recreation programs,” and §§ 405.1038(g)(4) and (5) went on to prescribe additional standards regarding therapy assistants or aides and overall staffing for recreational and activity therapy.

However, when the special medical record and staffing COPs for psychiatric hospitals were subsequently recodified at 42 CFR 482.62(g), the specific references to recreation therapy were deleted and replaced with a more general requirement to provide a therapeutic activities program. In response to public comments that recommended us to restore the deleted requirements, we indicated that we believe that the deleted requirements concerning therapeutic activities were overly and unnecessarily prescriptive and that the hospital should have the flexibility to determine which activities are most appropriate to its patient population and to determine the criteria to be met by employees providing these services. (see the IPPS PPS rule published on June 17, 1986 (51 FR 22032)).

When the 1986 COP changes applicable to psychiatric hospitals were made, we inadvertently retained specific references to recreation therapy in § 412.27. Since the intent of § 412.27(b) is to identify services provided in psychiatric units that are characteristic of services furnished in psychiatric hospitals, we believe it is no longer appropriate to include references to specific therapies in § 412.27. In order to have consistent requirements among IPFs, we are proposing to remove recreational therapy from § 412.27(b).

Although we are proposing to remove the specific reference to recreation therapy, we want to emphasize that recreation therapy is, and would continue to be, an accepted therapeutic intervention in psychiatric treatment. In addition, we believe the IPF PPS base rate which was developed using FY 2002 data, reflects the provision of recreation therapy.

5. Same Day Transfers

Currently, when a transfer, discharge, or death occurs on the same day as an admission to an IPF, the IPF PPS PRICER does not recognize any covered IPF days and the IPF claims are suspended. Based on review of a limited sample of the IPF and subsequent IPPS claims, it appears that many of these patients are first seen in a hospital's ED, are admitted to the hospital's psychiatric unit and, later the same day, determined to be too medically compromised to be managed in the psychiatric unit. This scenario may occur because the patient presents at the ED and is admitted to the psychiatric unit in the middle of the night, and when the patient's admission to the unit is reviewed by a psychiatrist the next morning, the physician determines that the patient should be discharged for acute care. In other cases, a patient may have been admitted to a freestanding psychiatric hospital based on the information furnished by an ED of an acute care hospital. However, after admission, the psychiatric hospital staff evaluates the patient and determines that the patient has medical needs that they are not staffed or equipped to meet.

The Provider Reimbursement Manual addresses the same day transfer issue from the perspective of counting Medicare days for the purpose of Medicare cost reporting. Section 2205 indicates that only full patient days may be used to apportion inpatient routine care service costs and that a day begins at midnight and ends 24 hours later. However, section 2205.1 explains how to count a day if the day of admission and the day of discharge are the same. Section 2205.1 indicates that when a patient is admitted and then transferred from one participating provider to another before midnight of the same day, a day (except for utilization purposes) is counted at both providers. A day of Medicare utilization is charged only for the admission to the second provider. This distinction is important for psychiatric admissions because IPF stays are subject to the 190-day lifetime limit on inpatient psychiatric care.

Section 1812(b) of the Act and 42 CFR 409.62 indicate that payment is not available for inpatient psychiatric hospital services furnished beyond the 190-day lifetime limit. Thus, Medicare coverage of IPF services, specifically IPF services furnished in freestanding psychiatric hospitals is limited to 190 days. In consideration of the limit on coverage of IPF services, where there is a same day transfer between Medicare participating providers, we only count the second admission for utilization purposes. Therefore, the initial admission to the IPF does not count against a beneficiary's lifetime psychiatric services limit.

We have some concerns regarding same day transfers from an IPF. Under TEFRA, a hospital receives its cost up to the hospital's TEFRA limit. The TEFRA limit is based on the hospital's average cost per discharge in a base period. When an admission and discharge occur on the same day, the hospital's cost is unlikely to exceed the TEFRA limit, so the hospital receives its cost for the day. These same day transfers also improve the hospital's payment under TEFRA by slightly reducing its cost per discharge. We are also concerned that when the transfer occurs in the same hospital, this practice circumvents bundling rules under the IPPS, in that it unbundles the ED charges from the IPPS claim and allocates the ED costs to the psychiatric unit even though the patient may have been inappropriately admitted to the unit.

Based on the review of IPF PPS claims we conducted, it did not appear that the admissions to the IPF were medically reasonable and necessary. However, we believe it is important to base a decision regarding coverage of these days on a comprehensive review of the claims. Therefore, we are not proposing a change in payment policy in this proposed rule. However, we are considering several alternative methods for addressing same day transfers under the IPF PPS which are described below. Any change to treatment of same day transfers would be made prospectively.

We could treat these days as covered days under the IPF PPS. However, under the IPF PPS, a 19 percent adjustment to the base rate is applied to day 1 of the stay to reflect the additional administrative and clinical costs associated with admission and the day 1 adjustment is increased to 31 percent when the IPF has a qualifying ED. The IPF may also receive, for example, a teaching adjustment or rural adjustment, for these partial days of care. Several of the claims in our analysis indicate a stay of 2 hours. We are concerned that this approach would overpay IPFs and encourage inappropriate admissions and transfers.

Another option would be to make no PPS payment, but continue making TEFRA payments during the IPF PPS transition period. For example, for cost reporting periods beginning in 2006, IPFs will receive a blended payment consisting of 50 percent PPS and 50 percent TEFRA. Therefore, under this approach we would allow some payment for these days for cost reporting periods in 2006 and 2007, but once the IPF PPS transition period is over, the IPFs would receive no payment for these days. We think this approach would encourage changes in admission practices in order to avoid the need to transfer patients. However, once the IPF PPS transition is over, there would be no payment mechanism to pay IPFs for stays in which there is a circumstance, not reasonably foreseeable by the admitting IPF such as a serious change in health status on the day of admission.

We could treat these same day transfer cases as covered days under the IPF PPS but limit payment to the Federal per diem base rate or some other payment amount, for example, half the Federal per diem base rate. This approach would limit payment to IPFs in order to provide an incentive for IPFs to make medical clearance determinations as early in the IPF stay as possible. However, we are concerned that this approach would not lead to changes in admission practices to avoid inappropriate admissions and the need for subsequent transfers.

It is important to note that the cost for these days was included in the cost reports used to develop the IPF PPS, and, as a result, the average cost per day that was used to establish the Federal per diem base rate is higher than it would otherwise have been had those days not been included.

We specifically request public comment from IPFs on this issue to help us to develop a payment policy that pays IPFs appropriately for these days and provides an incentive to avoid same day transfers wherever possible.

V. Provisions of the Proposed Rule

[If you choose to comment on issues in this section, please include the caption “PROVISIONS” at the beginning of your comments.]

We are proposing to make revisions to the regulation in order to implement the proposed prospective payment for IPFs for discharges occurring during the RY beginning July 1, 2006. As part of the update, we are proposing to incorporate OMB's revised definitions for MSAs and its new definitions of Micropolitan Statistical Areas and Core-Based Statistical Areas. In addition, we are proposing the following—

  • Update payments for IPF facilities using a market basket reflecting the operating and capital cost structures for the RPL market basket.
  • Develop cost weights for benefits, contract labor, and blood and blood products using the FY 2002-based IPPS market.
  • Provide weights and proxies for the FY 2002-based RPL market basket.
  • Indicate the methodology for the capital portion of the FY 2002-based RPL market basket.
  • Update the outlier threshold amount to maintain total outlier payments at 2 percent of total estimated payments.
  • Use source code “D” to identify IPF patients who have been transferred to the IPF from the same hospital or CAH.
  • Retain the 17 percent adjustment for IPFs located in rural areas, the 1.31 adjustment for IPFs with a qualifying ED, the 0.5150 teaching adjustment to the Federal per diem base rate, and the DRG adjustment factor currently being paid to IPFs for discharges occurring during RY 2007.
  • Update the payment rate for ECT.
  • Update the DRG listing and comorbidity categories to reflect the ICD-9-CM revisions effective October 1, 2005.

In addition to discussing these general issues in the IPF PPS 2007 RY, we also proposed making the following specific revisions to the existing text of the regulations. Specifically, we are proposing to make conforming changes in 42 CFR part 412 and 424 as discussed through out this preamble.

In § 412.27, we are proposing to revise paragraph (b) to remove the reference to recreational therapy.

In § 412.402, we are proposing to revise the heading of “Fixed dollar loss-threshold” to “Fixed dollar loss threshold amount” and revise the definitions of “Fixed dollar loss threshold amount”, “Qualifying emergency department”, “Rural area” and “Urban area.” For consistency, we are proposing to make conforming changes to these terminologies wherever they appear in the regulations text.

In § 412.424, we are also proposing to add paragraph (d)(1)(iii)(E) to clarify that the teaching adjustment is made on a claim basis as an interim payment and the final payment in full is made during the final settlement of the cost report. For clarity, we are proposing to revise paragraph (d)(2) introductory text. The current language in (d)(2)(iii) would become the introductory text for paragraph (d)(2) and paragraph (d)(2)(iii) would be removed. In addition, we are proposing to revise § 412.424(d)(3)(i)(A) to clarify that an outlier payment is made if an IPF's estimated total cost for a case exceeds a fixed dollar loss threshold amount plus the Federal payment amount for the case.

In § 412.426(a), we are proposing to correct the cross reference to the Federal per diem payment amount. We incorrectly referenced the Federal per diem base rate at § 424.424(c). The correct cross reference to the Federal per diem payment amount is § 424.424(d).

In § 412.428, we are proposing to revise paragraph (b) to specify that for discharges occurring on or after January 1, 2005 but before July 1, 2006 the rate of increase factor for the Federal portion of the payment is based on the FY 1997-based excluded hospital with capital market basket and for discharges occurring on or after July 1, 2006, the rate of increase factor for the Federal portion of the payment is based on the FY 2002-based RPL market basket.

In addition, we are proposing to add a new paragraph (g) to state that we would update the national urban and rural cost to charge ratio median and ceiling. Paragraph (1) through (3) would specify the types of IPFs in which to apply the national cost to charge ratio. Furthermore, we are proposing to add a new paragraph (h) to update the cost of living adjustment factors if appropriate.

In § 424.14, we are proposing to revise the title to read, “Requirements for inpatient services of inpatient psychiatric facilities,” to ensure consistency in compliance with the requirements among all IPFs. We are proposing to add a new paragraph (c)(3) to clarify for purposes of payment under the IPF PPS, that the physician would also recertify that the patient continues to need, on a daily basis, active inpatient psychiatric care (furnished directly by or requiring the supervision of inpatient psychiatric facility personnel) or other professional services that can only be provided on an inpatient basis.

In addition, we are revising paragraph (d)(2) to state that the first recertification is required as of the 12th day of hospitalization. Subsequent recertifications are required at intervals established by the UR committee (on a case-by-case basis if it so chooses), but no less frequently than every 30 days.

VI. Collection of Information Requirement

[If you choose to comment on issues in this section, please include the caption “INFORMATION COLLECTION” at the beginning of your comments.]

This document does not impose information collection and recordkeeping requirements. Consequently, it need not be reviewed by the Office of Management and Budget under the authority of the Paperwork Reduction Act of 1995.

VII. Regulatory Impact Analysis

[If you choose to comment on issues in this section, please include the caption “IMPACT” at the beginning of your comments.]

A. Overall Impact

We have examined the impact of this proposed rule as required by Executive Order 12866 (September 1993, Regulatory Planning and Review), the Regulatory Flexibility Act (RFA) (September 19, 1980, Pub. L. 96-354), section 1102(b) of the Social Security Act, the Unfunded Mandates Reform Act of 1995 (UMRA) (Pub. L. 104-4), and Executive Order 13132.

Executive Order 12866 (as amended by Executive Order 13258, which merely reassigns responsibility of duties) directs agencies to assess all costs and benefits of available regulatory alternatives and, if regulation is necessary, to select regulatory approaches that maximize net benefits (including potential economic, environmental, public health and safety effects, distributive impacts, and equity). A regulatory impact analysis (RIA) must be prepared for major rules with economically significant effects ($100 million or more in any 1 year).

Based on the impact analysis, we estimate the expenditures from the IPF PPS implementation year to the 2007 IPF PPS RY will be increased by $180 million. The updates to the IPF labor-related share and wage indices are made in a budget neutral manner and thus have no effect on estimated costs to the Medicare program. Therefore, the estimated increased cost to the Medicare program is the result of a combination of the updated IPF market baskets, which is offset by the transition blend and the revision of the standardization factor.

CMS notes that aspects of the transition, including the stop-loss policy and the transition to the 50/50 percent blend in the 2007 IPF PPS RY and the transition to the 75/25 percent blend in the 2008 IPF PPS RY, were included in the 2004 final rule and are thus not incremental to this rulemaking. Nevertheless, it is essential to analyze the impact of the transition blend in order to calculate the increase in cost to the Medicare program.

The impact of the transition blend is an approximately .2 percent (about $10 million) decrease in overall payments for the 2007 IPF PPS RY and the distribution of that impact is summarized in Table 15. Therefore, the impact attributable to the policy changes proposed in this rulemaking, primarily the market basket update and the standardization correction, is approximately $180 million in the 2007 IPF PPS RY.

Since costs to the Medicare program are estimated to be greater than $100 million, this proposed rule is considered a major economic rule, as defined in 5 U.S.C. 40(2).

The RFA requires agencies to analyze options for regulatory relief of small businesses. For purposes of the RFA, small entities include small businesses, nonprofit organizations, and governmental jurisdictions. Most IPFs and most other providers and suppliers are considered small entities, either by nonprofit status or by having revenues of $6 million to $29 million in any 1 year. (For details, see the Small Business Administration's regulation that set forth size standards for health care industries at 65 FR 69432.)

HHS considers that a substantial number of entities are affected if the rule impacts more than 5 percent of the total number of small entities as it does in this rule. We included all freestanding psychiatric hospitals (79 are non-profit hospitals) in the analysis since their total revenues do not exceed the $29 million threshold. We also included psychiatric units of small hospitals, that is, those hospitals with fewer than 100 beds. We did not include psychiatric units within larger hospitals in the analysis because we believe this proposed rule would not significantly impact total revenues of the entire hospital that supports the unit. We have provided the following RFA analysis in section B to emphasize that, although the proposed rule would impact a substantial number of IPFs that were identified as small entities, we do not believe it would have a significant economic impact. Based on the analysis of the 1063 psychiatric facilities that were classified as small entities as described above, we estimate the combined impact of the IPF PPS will be a 4.6-percent increase in payments in RY 2007 relative to their payments in the implementation year of the IPF PPS. Based on the information available, we believe that Medicare payments may constitute a small portion of governmental IPF's revenue stream. We have prepared the impact analysis in section VI.B.2 to describe the impact of the proposed rule in order to provide a factual basis for our conclusions regarding small business impact.

In addition, section 1102(b) of the Act requires us to prepare a regulatory impact analysis if a proposed rule may have a significant impact on the operations of a substantial number of small rural hospitals. This analysis must conform to the provisions of section 603 of the RFA. With the exception of hospitals located in certain New England counties, for purposes of section 1102(b) of the Act, we previously defined a small rural hospital as a hospital with fewer than 100 beds that is located outside of a Metropolitan Statistical Area (MSA) or New England County Metropolitan Area (NECMA). However, under the new labor market definitions that we are proposing to adopt, we would no longer employ NECMAs to define urban areas in New England. Therefore, for purposes of this analysis, we now define a small rural hospital as a hospital with fewer than 100 beds that is located outside of an MSA. We have determined that this proposed rule would have a substantial impact on hospitals classified as located in rural areas. As discussed earlier in this preamble, we are proposing to continue to provide a payment adjustment of 17 percent for IPFs located in rural areas. In addition, we have established a 3-year transition to the new system to allow IPFs an opportunity to adjust to the new system. Therefore, the impacts shown in Table 15 below reflect the adjustments that are designed to minimize or eliminate any potentially significant negative impact that the IPF PPS may otherwise have on small rural IPFs.

Section 202 of the Unfunded Mandates Reform Act of 1995 also requires that agencies assess anticipated costs and benefits before issuing any proposed rule whose mandates require spending in any 1 year of $100 million in 1995 dollars, updated annually for inflation. That threshold level is currently approximately $120 million. This proposed rule would not mandate any requirements for State, local, or tribal governments, nor would it affect private sector costs.

Executive Order 13132 establishes certain requirements that an agency must meet when it promulgates a proposed rule that imposes substantial direct requirement costs on State and local governments, preempts State law, or otherwise has Federalism implications.

We have reviewed this proposed rule under the criteria set forth in Executive Order 13132 and have determined that the proposed rule would not have any substantial impact on the rights, roles, and responsibilities of State, local, or tribal governments.

B. Anticipated Effects of the Proposed Rule

We discuss below the impact of this proposed rule on the Federal Medicare budget and on IPFs.

1. Budgetary Impact

As discussed in detail in the IPF PPS final rule and summarized in section III.B. of this proposed rule, we applied a budget neutrality factor to the Federal per diem and ECT base rates to ensure that total payments under the IPF PPS in the implementation period would equal the amount that would have been paid if the IPF PPS had not been implemented. In addition, as discussed in section IV.C.1 of this proposed rule, we are proposing to adopt the new CBSAs and labor market share in a budget neutral manner by applying a wage index budget neutrality factor to the Federal per diem and ECT base rates. Thus, the budgetary impact to the Medicare program by the update of the IPF PPS will be the combination of the proposed market basket updates (see section III.C of this proposed rule), the proposed revision of the standardization factor (see section III.B.3 of this proposed rule), and the planned update of the payment blend discussed below.

2. Impacts on Providers

To understand the impact of the changes to the IPF PPS discussed in this proposed rule on providers, it is necessary to compare estimated payments under the IPF PPS rates and factors for the 2007 IPF rate year to estimated payments under the IPF PPS rates and factors for the IPF PPS implementation year. The estimated payments for the IPF implementation year are a blend of: 75 percent of the facility-specific TEFRA payment and 25 percent of the IPF PPS payment with stop loss payment. The estimated payments for the 2007 IPF rate year are a blend of: 50 percent of the facility-specific TEFRA payment and 50 percent of the IPF PPS payment with stop loss payment. We determined the percent change of estimated 2007 IPF PPS rate year payments to estimated IPF PPS implementation year payments for each category of IPFs. In addition, for each category of IPFs, we have included the estimated percent change in payments resulting from the revision of the standardization factor (as discussed in section III.B.3 of this proposed rule, the ratio of estimated total TEFRA payments to estimated total PPS payments in the implementation year was overestimated and therefore needed to be reduced. We are proposing to apply the revised standardization factor prospectively to the Federal per diem base rate and ECT amount), the wage index changes for the 2007 IPF PPS rate year, the proposed market basket update to IPF PPS payments, and the transition blend for the 2007 rate year of the IPF PPS payment and the facility-specific TEFRA payment.

To illustrate the impacts of the proposed RY 2007 changes, our analysis begins with an implementation year baseline simulation model based on FY 2002 IPF payments inflated to 2005 with market baskets; the estimated outlier payments in 2005; the estimated stop-loss payments in 2005; the MSA designations for IPFs based on OMB's MSA definitions before June 2003; the 2005 MSA wage index; the implementation year labor-market share; and the implementation year percentage amount of the rural adjustment. During the simulation, the outlier payment is maintained at the target of 2 percent of total PPS payments.

Each of the following proposed changes is added incrementally to this baseline model in order for us to isolate the effects of each change:

  • IPF PPS payments adjusted by the revised standardization factor.
  • The new CBSAs based on new geographic area definitions announced by OMB in June 2003 and the RY 2007 proposed budget-neutral labor-related share and wage index adjustment.
  • A blended market basket update of 4.7 percent resulting in an update to the hospital-specific TEFRA target amount and an update to the IPF PPS base rates as discussed below.

++ As discussed in section III.C.4 of this proposed rule and in the IPPS final rule published August 12, 2005 (70 FR 47707), we established an update factor of 3.8 percent effective for cost reporting periods beginning on or after October 1, 2005 using the 2002-based excluded hospital market basket. The 3.8 percent update is applied to the IPF's target cost per discharge established under TEFRA for cost reporting periods beginning on or after October 1, 2005. However, since the midpoints of the 2007 rate year and the IPF PPS implementation period are 15 months apart, the TEFRA payment increase is projected to be 4.8 percent.

++ An update to the Federal per diem base rate of 4.5 percent based on the 2002-based RPL market basket (see section III.C.1.b of this proposed rule). The market basket update is based on a 15-month time period (from the midpoint of the IPF PPS implementation period to the midpoint of the 2007 rate year).

  • The transition to 50 percent IPF PPS payment and 50 percent facility-specific TEFRA payment.

Our final comparison illustrates the percent change in payments from the IPF PPS implementation year (that is, January 1, 2005 to June 30, 2006) to RY 2007 (that is, July 1, 2006 to June 30, 2007).

Table 15.—Projected Impacts

Facility by type Number of facilities Standardization factor correction CBSA wage index and labor share Market basket Transition blend Total
(1) (2) (3) (4) (5) (6) (7)
All Facilities 1,806 −0.3% 0.0% 4.7% −0.2% 4.2%
By Type of Ownership:
Psychiatric Hospitals
Government 178 −0.4% 0.0% 4.7% 11.0% 15.7%
Non-profit 79 −0.3% 0.1% 4.7% 1.6% 6.1%
For-profit 150 −0.4% 0.1% 4.7% 4.3% 8.9%
Psychiatric Units 1,399 −0.3% 0.0% 4.7% −1.8% 2.5%
Rural 384 −0.3% −0.2% 4.7% −1.1% 3.0%
Urban 1,422 −0.3% 0.0% 4.7% −0.1% 4.3%
By Urban or Rural Classification:
Urban by Facility Type
Psychiatric Hospitals
Government 144 −0.4% 0.1% 4.7% 10.8% 15.6%
Non-profit 73 −0.3% 0.1% 4.7% 1.7% 6.2%
For-profit 143 −0.4% 0.1% 4.7% 4.4% 9.0%
Psychiatric Units 1,062 −0.3% 0.0% 4.7% −1.7% 2.6%
Rural by Facility Type
Psychiatric Hospitals
Government 34 −0.5% −0.3% 4.7% 11.8% 16.1%
Non-profit 6 −0.3% 0.3% 4.7% −0.7% 3.9%
For-profit 7 −0.2% −0.1% 4.7% −1.8% 2.4%
Psychiatric Units 337 −0.3% −0.2% 4.7% −2.2% 1.8%
By Teaching Status:
Non-teaching 1,537 −0.3% 0.0% 4.7% −0.3% 4.0%
Less than 10% interns and residents to beds 148 −0.3% 0.0% 4.7% 0.4% 4.8%
10% to 30% interns and residents to beds 72 −0.3% −0.1% 4.7% 0.4% 4.6%
More than 30% interns and residents to beds 49 −0.3% 0.1% 4.7% −0.1% 4.4%
By Region:
New England 126 −0.3% 0.0% 4.7% −0.5% 3.9%
Mid-Atlantic 306 −0.4% 0.1% 4.7% 2.8% 7.3%
South Atlantic 238 −0.3% −0.1% 4.7% 0.2% 4.5%
East North Central 325 −0.3% −0.1% 4.7% −1.5% 2.8%
East South Central 159 −0.3% 0.0% 4.7% −0.2% 4.2%
West North Central 169 −0.3% −0.2% 4.7% −1.1% 3.1%
West South Central 237 −0.3% −0.1% 4.7% −2.7% 1.6%
Mountain 83 −0.3% 0.0% 4.7% −0.4% 4.0%
Pacific 156 −0.3% 0.3% 4.7% −0.6% 4.1%
By Bed Size:
Psychiatric Hospitals
Under 12 beds 26 −0.1% 0.1% 4.7% −3.8% 0.8%
12 to 25 beds 46 −0.2% −0.1% 4.7% 0.3% 4.7%
25 to 50 beds 91 −0.4% 0.2% 4.7% 4.3% 8.9%
50 to 75 beds 82 −0.4% 0.1% 4.7% 3.8% 8.4%
Over 75 beds 162 −0.4% 0.0% 4.7% 8.5% 13.1%
Psychiatric Units
Under 12 beds 600 −0.2% 0.0% 4.7% −4.5% −0.2%
12 to 25 beds 474 −0.3% 0.0% 4.7% −1.9% 2.4%
25 to 50 beds 228 −0.3% 0.0% 4.7% −0.6% 3.7%
50 to 75 beds 58 −0.3% 0.0% 4.7% 0.1% 4.4%
Over 75 beds 39 −0.3% −0.1% 4.7% 1.2% 5.5%

3. Results

Table 15 above displays the results of our analysis. The table groups IPFs into the categories listed below based on characteristics provided in the Online Survey and Certification and Reporting (OSCAR) file and the 2002 cost report data from HCRIS:

  • Facility Type
  • Location
  • Teaching Status Adjustment
  • Census Region
  • Size

The top row of the table shows the overall impact on the 1,806 IPFs included in the analysis.

In column 3, we present the effects of the revised standardization factor (refer to section III.B.3 of this proposed rule for a discussion of this revision). This is defined to be the comparison of the simulated implementation year payment under the revised budget neutral factor to the simulated implementation year payment under the original budget neutral factor. In aggregate, the proposed revision would result in a 0.3 percent decrease in overall payments to IPFs. There are small distributional effects among different categories of IPFs. For example, rural government psychiatric hospitals would receive the largest decrease of 0.5 percent while rural for-profit psychiatric hospitals would receive a 0.2 percent decrease. Also psychiatric hospitals with over 75 beds would receive a decrease of 0.4 percent while psychiatric hospitals with fewer than 12 beds would receive the smallest decrease of 0.1 percent.

In column 4, we present the effects of the budget-neutral update to the labor-related share and the wage index adjustment under the new CBSA geographic area definitions announced by OMB in June 2003. This is a comparison of the simulated implementation year payment under revised budget neutral factor and labor-related share and wage index under CBSA classification to the simulated implementation year payment under revised budget neutral factor and labor-related share and wage index under current MSA classification. There is no change in aggregate payments to IPFs as indicated in the first row of column 4. There would, however, be small distributional effects among different categories of IPFs. For example, rural IPFs would experience a 0.2 percent decrease in payments while urban IPFs would experience no change in payments. Rural government hospitals would receive the largest decrease of 0.3 percent while rural non-profit hospitals would receive the largest increase of 0.3 percent.

In column 5, we present the effects of the proposed market basket update to the IPF PPS payments by applying the TEFRA and PPS updates to payments under revised budget neutral factor and labor-related share and wage index under CBSA classification. In the aggregate the proposed update would result in a 4.7 percent increase in overall payments to IPFs. This 4.7 percent reflects the current blend of the 4.8 percent update for IPF TEFRA payments and the 4.5 percent update for the IPF PPS payments.

In column 6, we present the effects of the payment change in transition blend percentages to transition year 2 (TEFRA Rate Percentage = 50 percent, IPF PPS Federal Rate Percentage = 50 percent) from transition year 1 (TEFRA Rate Percentage = 75 percent, IPF PPS Federal Rate Percentage = 25 percent) of the IPF PPS under revised budget neutral factor, labor-related share and wage index under CBSA classification, and TEFRA and PPS updates to RY 2007. The overall aggregate effect, across all hospital groups, would be a 0.2 percent decrease in payments to IPFs. There are distributional effects of these changes among different categories of IPFs. The largest increases would be among government psychiatric hospitals, with rural government hospitals receiving an 11.8 percent increase and urban government hospitals receiving a 10.8 percent increase. Alternatively, psychiatric hospitals and units with fewer than 12 beds would receive the largest decreases of 3.8 percent and 4.5 percent respectively.

Column 7 compares our estimates of proposed changes reflected in this proposed rule for RY 2007, to our estimates of payments in the implementation year (without these proposed changes). This column reflects all RY 2007 proposed changes relative to the implementation year, shown in columns 3 through 6. The average increase for all IPFs is approximately 4.2 percent. This increase includes the effects of the market basket updates resulting in a 4.7 percent increase in total RY 2007 payments. It also includes a 0.3 percent decrease in RY 2007 payments for the standardization factor revision and a 0.2 percent decrease in RY 2007 payments for the transition blend.

Overall, the largest payment increase would be among government IPFs. Urban government psychiatric hospitals would receive a 15.6 percent increase and rural government psychiatric hospitals would receive a 16.1 percent increase. Psychiatric hospitals with fewer than 12 beds would receive a 0.8 percent increase and psychiatric units with fewer than 12 beds would receive a 0.2 percent decrease.

4. Effect on the Medicare Program

Based on actuarial projections resulting from our experience with other PPSs, we estimate that Medicare spending (total Medicare program payments) for IPF services over the next 5 years would be as follows:

Table 16.—Estimated Payments

Rate year Dollars in millions
July 1, 2006 to June 30, 2007 $4,257
July 1, 2007 to June 30, 2008 4,382
July 1, 2008 to June 30, 2009 4,559
July 1, 2009 to June 30, 2010 4,762
July 1, 2010 to June 30, 2011 4,979

These estimates are based on the current estimate of increases in the excluded hospital with capital market basket as follows:

  • 3.6 percent for RY 2007;
  • 3.5 percent for RY 2008;
  • 3.1 percent for RY 2009;
  • 2.6 percent for RY 2010; and
  • 3.0 percent for RY 2011.

We estimate that there would be a change in fee-for-service Medicare beneficiary enrollment as follows:

  • −2.3 percent in RY 2007;
  • −1.0 percent in RY 2008;
  • 0.3 percent in RY 2009;
  • 0.3 percent in RY 2010; and
  • 0.6 percent in RY 2011.

In the implementation year we estimated aggregate payments under the IPF PPS to equal the estimated aggregate payments that would be made if the IPF PPS were not implemented. Our methodology for estimating payments for purposes of the budget-neutrality calculations uses the best available data.

We will evaluate the accuracy of the assumptions used to compute the budget-neutrality calculation in the implementation year. We intend to analyze claims and cost report data from the implementation year of the IPF PPS to determine whether the factors used to develop the Federal per diem base rate are not significantly different from the actual results experienced in that year. We are planning to compare payments under the final IPF PPS (which relies on an estimate of cost-based TEFRA payments using historical data from a base year and assumptions that trend the data to the initial implementation period) to estimated cost-based TEFRA payments based on actual data from the first year of the IPF PPS. If we find that an adjustment is necessary, the percent difference (either positive or negative) would be applied prospectively to the established prospective payment rates to ensure the rates accurately reflect the payment levels intended by the statute.

Section 124 of Public Law 106-113 provides the Secretary broad authority to make an adjustment. We intend to perform this analysis within the first 5 years of the implementation of the IPF PPS.

5. Effect on Beneficiaries

Under the IPF PPS, IPFs would receive payment based on the average resources consumed by patients for each day. We do not expect changes in the quality of care or access to services for Medicare beneficiaries under the IPF PPS. In fact, we believe that access to IPF services would be enhanced due to the patient and facility level adjustment factors, all of which are intended to adequately reimburse IPFs for expensive cases. Finally, the stop-loss policy is intended to assist IPFs during the transition. In addition, we expect that paying prospectively for IPF services would enhance the efficiency of the Medicare program.

6. Computer Hardware and Software

We do not anticipate that IPFs would incur additional systems operating costs in order to effectively participate in the IPF PPS. We believe that IPFs and CAHs possess the computer hardware capability to handle the billing requirements under the IPF PPS. Our belief is based on indications that approximately 99 percent of hospital inpatient claims are submitted electronically. In addition, we are not adopting significant changes in claims processing (see section IV.C of this proposed rule).

C. Accounting Statement

As required by OMB Circular A-4 (available at http://www.whitehouse.gov/omb/circulars/a004/a-4.pdf), in Table 17 below, we have prepared an accounting statement showing the classification of the expenditures associated with the provisions of this proposed rule. This table provides our best estimate of the increase in Medicare payments under the IPF PPS as a result of the changes presented in this proposed rule based on the data for 1,806 IPFs in our database. All expenditures are classified as transfers to Medicare providers (that is, IPFs).

Table 17.—Accounting Statement: Classification of Estimated Expenditures, from the 2006 IPF PPS RY to the 2007 IPF PPS RY

(In millions)

Category Transfers
Annualized Monetized Transfers $180.
From Whom To Whom? Federal Government To IPFs Medicare Providers.

D. Alternatives Considered

We considered the following alternatives in developing the update to the IPF PPS:

One option we considered was incorporating a transition from MSA-based labor market definitions to CBSA-based labor market definitions for the purpose of applying the area wage index. As stated in section IV.C.1.e of this proposed rule, we are not adopting a transition policy here because IPFs are already in a transition from reasonable cost based reimbursement to IPF PPS payments. In addition, as evident in Table 15 above, the wage index change does not appear to have a large impact on IPFs.

We also considered increasing our outlier percentage so that outlier payments would be projected to be 3 percent (or higher) of total PPS payments. However, this approach would not target the truly costly cases. Instead, implementing such a policy would have the effect of lowering the fixed dollar loss amount, therefore spreading outlier payments across more IPFs. In addition, the Federal per diem base rate would have to be reduced by another percentage point.

It is also worth noting that in this proposed rule, we used the best available complete data set (that is, FY 2002 claims and cost report data) to assess the impact of the various policy changes. As previously stated, we won't know the true impact of the wage index changes, the transition blend period, or the market basket increases until we are able to analyze 1 year of IPF PPS claims and cost report data.

We considered alternative policies in order to reduce financial risk to facilities in the event that they experience substantial reductions in Medicare payments during the period of transition to the IPF PPS. As discussed previously in this proposed rule, we have adopted a provision that would guarantee each facility an average payment per case under the IPF PPS that is estimated to be no less than a minimum proportion of its average payment per case under TEFRA. We analyzed the impact on losses if we were to make a payment adjustment to ensure that the minimum IPF PPS per case payment to an IPF is at least 70 percent of its TEFRA payment.

The stop-loss adjustment is applied to the IPF PPS portion of Medicare payments during the transition. For example, during year 2 of the 3-year transition period, half of the payment is based on TEFRA, and half of the payment is based on the Federal rate. We apply the stop-loss adjustment to the portion of the IPF's payments during the transition based on the Federal rate. We estimate that the combined effects of the transition and the stop-loss policies will ensure that per case payments relative to pre-IPF PPS TEFRA per case payments are no less than 92.5 percent in year 1, 85 percent in year 2, and 77.5 percent in year 3. We estimate that about 10 percent of IPFs would receive additional payments under the stop-loss policy.

The 70 percent of TEFRA stop-loss policy required a reduction in the per diem rate to make the stop-loss policy budget neutral during the implementation year. As a result, in the IPF PPS final rule, we made a reduction to the Federal per diem base rate of 0.4 percent in order to maintain budget neutrality.

In the IPF PPS final rule, we considered an 80 percent stop-loss policy as well as a 70 percent policy. In order to target the stop-loss policy to the IPFs that experience the greatest impact relative to current payments and to limit the size of the reduction to the Federal per diem base rate, we adopted the 70 percent policy. In developing this proposed rule, we again considered an 80 percent stop-loss policy for RY 2007. Adopting an 80 percent policy would require a reduction in the Federal per diem base rate of over 2.5 percent, and we estimate that about 29 percent of IPFs would receive additional payments. We chose to stay with the 70 percent policy for the same reasons discussed in the IPF PPS final rule. Specifically, the 70 percent stop-loss policy targets the IPFs that experience the greatest impact relative to current payments, and it limits the size of the reduction to the Federal per diem base rate.

In accordance with the provisions of Executive Order 12866, this rule was previously reviewed by OMB.

List of Subjects

42 CFR Part 412

  • Administrative practice and procedure
  • Health facilities
  • Medicare
  • Puerto Rico
  • Reporting and recordkeeping requirements

42 CFR Part 424

  • Emergency medical services
  • Health facilities
  • Health professions
  • Medicare
  • Reporting and recordkeeping requirements

For the reasons set forth in the preamble, the Centers for Medicare & Medicaid Services proposes to amend 42 CFR chapter IV as follows:

PART 412—PROSPECTIVE PAYMENT SYSTEMS FOR HOSPITAL SERVICES

1. The authority citation for part 412 is revised to read as follows:

Authority: Secs. 1102 and 1871 of the Social Security Act (42 U.S.C. 1302 and 1395hh), Sec. 124 of Pub. L. 106-113, 113 Stat. 1515, and Sec. 405 of Pub. L. of 108-173, 117 Stat. 2266.

2. Amend § 412.27 by revising paragraph (b) to read as follows:

Excluded psychiatric units: Additional requirements.

(b) Furnish, through the use of qualified personnel, psychological services, social work services, psychiatric nursing, and occupational therapy.

3. Section 412.402 is amended by—

A. Republishing the introductory text.

B. Revising the heading of “Fixed dollar loss threshold,” to read “Fixed dollar loss threshold amount.”

C. Revising the definition of “Fixed dollar loss threshold amount,” “Qualifying emergency department,” “Rural area,” and “Urban area.”

The revisions read as follows:

§ 412.402
Definitions.

As used in this subpart—

Fixed dollar loss threshold amount means a dollar amount which, when added to the Federal payment amount for case, the estimated costs of a case must exceed in order for the case to qualify for an outlier payment.

Qualifying emergency department means an emergency department that is staffed and equipped to furnish a comprehensive array of emergency services and meeting the definitions of a dedicated emergency department as specified in § 489.24(b) of this chapter and the definition of “provider-based status” as specified in § 413.65 of this chapter.

Rural area means for cost reporting periods beginning January 1, 2005, with respect to discharges occurring during the period covered by such cost reports but before July 1, 2006, an area as defined in § 412.62(f)(1)(iii). For discharges occurring on or after July 1, 2006, rural area means an area as defined in § 412.64(b)(1)(ii)(C).

Urban area means for cost reporting periods beginning on or after January 1, 2005, with respect to discharges occurring during the period covered by such cost reports but before July 1, 2006, an area as defined in § 412.62(f)(1)(ii). For discharges occurring on or after July 1, 2006, urban area means an area as defined in § 412.64(b)(1)(ii)(A) and § 412.64(b)(1)(ii)(B).

4. Section 412.424 is amended by—

A. Revising paragraph (d)(1)(iii).

B. Republishing the heading of paragraph (d)(1)(v).

C. Revising paragraph (d)(1)(v)(A).

D. Adding paragraph (d)(2) introductory text.

E. Removing and reserving paragraph (d)(2)(iii).

F. Revising paragraphs (d)(3)(i) introductory text and (d)(3)(i)(A).

The revisions and additions read as follows:

§ 412.424
Methodology for calculating the Federal per diem payment amount.

(d) * * *

(1) * * *

(iii) Teaching adjustment. CMS adjusts the Federal per diem base rate by a factor to account for indirect teaching costs.

(A) An inpatient psychiatric facility's teaching adjustment is based on the ratio of the number of full-time equivalent residents training in the inpatient psychiatric facility divided by the facility's average daily census.

(B) Residents with less than full-time status and residents rotating through the inpatient psychiatric facility for less than a full year will be counted in proportion to the time they spend in the inpatient psychiatric facility.

(C) Except as described in paragraph (d)(1)(iii)(D) of this section, the actual number of current year full-time equivalent residents used in calculating the teaching adjustment is limited to the number of full-time equivalent residents in the inpatient psychiatric facility's most recently filed cost report filed with its fiscal intermediary before November 15, 2004 (base year).

(D) If the inpatient psychiatric facility first begins training residents in a new approved graduate medical education program after November 15, 2004, the number of full-time equivalent residents determined under paragraph (d)(1)(iii)(C) of this section may be adjusted using the method described in § 413.79(e)(1)(i) and (ii) of this chapter.

(E) The teaching adjustment is made on a claim basis as an interim payment, and the final payment in full for the claim is made during the final settlement of the cost report.

(v) Adjustment for IPF with qualifying emergency departments. (A) CMS adjusts the Federal per diem base rate to account for the costs associated with maintaining a qualifying emergency department. A qualifying emergency department is staffed and equipped to furnish a comprehensive array of emergency services (medical and psychiatric) and meets the requirements of § 489.24(b) and § 413.65 of this chapter.

(2) Patient-level adjustments. The inpatient psychiatric facility must identify a principal psychiatric diagnosis as specified in § 412.27(a) for each patient. CMS adjusts the Federal per diem base rate by a factor to account for the diagnosis-related group assignment associated with the principal diagnosis, as specified by CMS.

(3) Other adjustments. (i) Outlier payments. CMS provides an outlier payment if an inpatient psychiatric facility's estimated total cost for a case exceeds a fixed dollar loss threshold amount for an inpatient psychiatric facility as defined in § 412.402 plus the Federal payment amount for the case.

(A) The fixed dollar loss threshold amount is adjusted for the inpatient psychiatric facility's adjustments for wage area, teaching, rural locations, and cost of living adjustment for facilities located in Alaska and Hawaii.

§ 412.426
[Amended]

5. In § 412.426, paragraph (a) introductory text is amended by removing the reference “§ 412.424(c)” and adding the reference “§ 412.424(d)” in its place.

6. Section 412.428 is amended by—

A. Republishing the introductory text.

B. Revising paragraph (b) and (d).

C. Adding a new paragraph (g).

D. Adding a new paragraph (h).

The revision and additions reads as follows:

§ 412.428
Publication of updates to the inpatient psychiatric facility prospective payment system.

CMS will publish annually in the Federal Register information pertaining to updates to the inpatient psychiatric facility prospective payment system. This information includes:

(b)(1) For discharges occurring on or after January 1, 2005 but before July 1, 2006, the rate of increase factor, described in § 412.424(a)(2)(iii), for the Federal portion of the inpatient psychiatric facility's payment is based on the excluded hospital with capital market basket under the update methodology described in section 1886(b)(3)(B)(ii) of the Act for each year.

(2) For discharges occurring on or after July 1, 2006, the rate of increase factor for the Federal portion of the inpatient psychiatric facility's payment is based on the Rehabilitation, Psychiatric, and Long-Term Care (RPL) market basket.

(3) For discharges occurring on or after January 1, 2005 but before July 1, 2006, the rate of increase factor, described in § 412.424(a)(2)(iii), for the reasonable cost portion of the inpatient psychiatric facility's payment is based on the 1997-based excluded hospital market basket under the updated methodology described in section 1886(b)(3)(B)(ii) of the Act for each year.

(4) For discharges occurring on or after July 1, 2006, the rate of increase factor for the reasonable cost portion of the inpatient psychiatric facility's payment is based on the 2002-based excluded hospital market basket.

(d) Updates to the fixed dollar loss threshold amount in order to maintain the appropriate outlier percentage.

(g) Update the national urban and rural cost to charge ratio median and ceilings. CMS will apply the national cost to charge ratio to—

(1) New inpatient psychiatric facilities that have not submitted their first Medicare cost report.

(2) Inpatient psychiatric facilities whose operating or capital cost to charge ratio is in excess of 3 standard deviations above the corresponding national geometric mean.

(3) Other inpatient psychiatric facilities for which the fiscal intermediary obtains inaccurate or incomplete date with which to calculate either an operating or capital cost to charge ratio or both.

(h) Update the cost of living adjustment factor if appropriate.

PART 424—CONDITIONS FOR MEDICARE PAYMENT

1. The authority citation for part 424 continues to read as follows:

Authority: Secs. 1102 and 1871 of the Social Security Act (42 U.S.C. 1302 and 1395hh).

2. Section 424.14 is amended by—

A. Revising the heading.

B. Adding a new paragraph (c)(3).

C. Revising paragraph (d)(2).

The addition and revisions read as follows:

§ 424.14
Requirements for inpatient services of inpatient psychiatric facilities.

(c) * * *

(3) The patient continues to need, on a daily basis, active inpatient psychiatric care (furnished directly by or requiring the supervision of inpatient psychiatric facility personnel) or other professional services that can only be provided on an inpatient basis.

(d) * * *

(2) The first recertification is required as of the 12th day of hospitalization. Subsequent recertifications are required at intervals established by the UR committee (on a case-by-case basis if it so chooses), but no less frequently than every 30 days.

(Catalog of Federal Domestic Assistance Program No. 93.778, Medical Assistance Program)

(Catalog of Federal Domestic Assistance Program No. 93.773, Medicare—Hospital Insurance; and Program No. 93.774, Medicare—Supplementary Medical Insurance Program)

Dated: November 3, 2005.

Mark B. McClellan,

Administrator, Centers for Medicare & Medicaid Services.

Approved: January 13, 2006.

Michael O. Leavitt,

Secretary.

Note:

The following addenda will not appear in the Code of Federal Regulations.

Addendum A—Rate and Adjustment Factors

Per Diem Rate

Federal Per Diem Base Rate $594.66
Labor Share (0.75923) $451.48
Non-Labor Share (0.24077) $143.18

Fixed Dollar Loss Threshold Amount

$6200

Facility Adjustments

Rural Adjustment Factor 1.17.
Teaching Adjustment Factor 0.5150.
Wage Index Pre-reclass Hospital Wage Index (FY2006).

Cost of Living Adjustments (COLAs)

Alaska 1.25
Hawaii
Honolulu County 1.25
Hawaii County 1.165
Kauai County 1.2325
Maui County 1.2375
Kalawao County 1.2375

Patient Adjustments

ECT—Per Treatment $268.21

Variable Per Diem Adjustments

Adjustment Factor
Day 1—Facility Without a 24/7 Full-service Emergency Department 1.19
Day 1—Facility With a 24/7 Full-service Emergency Department 1.31
Day 2 1.12
Day 3 1.08
Day 4 1.05
Day 5 1.04
Day 6 1.02
Day 7 1.01
Day 8 1.01
Day 9 1.00
Day 10 1.00
Day 11 0.99
Day 12 0.99
Day 13 0.99
Day 14 0.99
Day 15 0.98
Day 16 0.97
Day 17 0.97
Day 18 0.96
Day 19 0.95
Day 20 0.95
Day 21 0.95
After Day 21 0.92

Age Adjustments

Age (in years) Adjustment Factor
Under 45 1.00
45 and under 50 1.01
50 and under 55 1.02
55 and under 60 1.04
60 and under 65 1.07
65 and under 70 1.10
70 and under 75 1.13
75 and under 80 1.15
80 and over 1.17

DRG Adjustments

DRG DRG Definition DRG Adjustment Factor
DRG 424 Procedure with principal diagnosis of mental illness 1.22
DRG 425 Acute adjustment reaction 1.05
DRG 426 Depressive neurosis 0.99
DRG 427 Neurosis, except depressive 1.02
DRG 428 Disorders of personality 1.02
DRG 429 Organic disturbances 1.03
DRG 430 Psychosis 1.00
DRG 431 Childhood disorders 0.99
DRG 432 Other mental disorders 0.92
DRG 433 Alcohol/Drug use Leave against Medical Advice (LAMA) 0.97
DRG 521 Alcohol/Drug use with comorbid conditions 1.02
DRG 522 Alcohol/Drug use without comorbid conditions 0.98
DRG 523 Alcohol/Drug use without rehabilitation 0.88
DRG 12 Degenerative nervous system disorders 1.05
DRG 23 Non-traumatic stupor & coma 1.07

Comorbidity Adjustments

Comorbidity Adjustment Factor
Developmental Disabilities 1.04
Coagulation Factor Deficit 1.13
Tracheostomy 1.06
Eating and Conduct Disorders 1.12
Infectious Diseases 1.07
Renal Failure, Acute 1.11
Renal Failure, Chronic 1.11
Oncology Treatment 1.07
Uncontrolled Diabetes Mellitus 1.05
Severe Protein Malnutrition 1.13
Drug/Alcohol Induced Mental Disorders 1.03
Cardiac Conditions 1.11
Gangrene 1.10
Chronic Obstructive Pulmonary Disease 1.12
Artificial Openings - Digestive & Urinary 1.08
Musculoskeletal & Connective Tissue Diseases 1.09
Poisoning 1.11

Addendum B—RY 2007 IPF PPS Wage Index Table

SSA State/County Code County name MSA Number MSA Urban/Rural 2006 MSA-based WI CBSA Number CBSA Urban/Rural 2006 CBSA-based WI
01000 Autauga County, Alabama 5240 Urban 0.8618 33860 Urban 0.8618
01010 Baldwin County, Alabama 5160 Urban 0.7861 99901 Rural 0.7446
01020 Barbour County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01030 Bibb County, Alabama 01 Rural 0.7432 13820 Urban 0.8959
01040 Blount County, Alabama 1000 Urban 0.9000 13820 Urban 0.8959
01050 Bullock County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01060 Butler County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01070 Calhoun County, Alabama 0450 Urban 0.7682 11500 Urban 0.7682
01080 Chambers County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01090 Cherokee County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01100 Chilton County, Alabama 01 Rural 0.7432 13820 Urban 0.8959
01110 Choctaw County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01120 Clarke County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01130 Clay County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01140 Cleburne County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01150 Coffee County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01160 Colbert County, Alabama 2650 Urban 0.8272 22520 Urban 0.8272
01170 Conecuh County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01180 Coosa County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01190 Covington County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01200 Crenshaw County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01210 Cullman County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01220 Dale County, Alabama 2180 Urban 0.7701 99901 Rural 0.7446
01230 Dallas County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01240 De Kalb County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01250 Elmore County, Alabama 5240 Urban 0.8618 33860 Urban 0.8618
01260 Escambia County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01270 Etowah County, Alabama 2880 Urban 0.7938 23460 Urban 0.7938
01280 Fayette County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01290 Franklin County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01300 Geneva County, Alabama 01 Rural 0.7432 20020 Urban 0.7721
01310 Greene County, Alabama 01 Rural 0.7432 46220 Urban 0.8645
01320 Hale County, Alabama 01 Rural 0.7432 46220 Urban 0.8645
01330 Henry County, Alabama 01 Rural 0.7432 20020 Urban 0.7721
01340 Houston County, Alabama 2180 Urban 0.7701 20020 Urban 0.7721
01350 Jackson County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01360 Jefferson County, Alabama 1000 Urban 0.9000 13820 Urban 0.8959
01370 Lamar County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01380 Lauderdale County, Alabama 2650 Urban 0.8272 22520 Urban 0.8272
01390 Lawrence County, Alabama 2030 Urban 0.8469 19460 Urban 0.8469
01400 Lee County, Alabama 0580 Urban 0.8100 12220 Urban 0.8100
01410 Limestone County, Alabama 3440 Urban 0.9146 26620 Urban 0.9146
01420 Lowndes County, Alabama 01 Rural 0.7432 33860 Urban 0.8618
01430 Macon County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01440 Madison County, Alabama 3440 Urban 0.9146 26620 Urban 0.9146
01450 Marengo County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01460 Marion County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01470 Marshall County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01480 Mobile County, Alabama 5160 Urban 0.7861 33660 Urban 0.7891
01490 Monroe County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01500 Montgomery County, Alabama 5240 Urban 0.8618 33860 Urban 0.8618
01510 Morgan County, Alabama 2030 Urban 0.8469 19460 Urban 0.8469
01520 Perry County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01530 Pickens County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01540 Pike County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01550 Randolph County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01560 Russell County, Alabama 1800 Urban 0.8560 17980 Urban 0.8560
01570 St Clair County, Alabama 1000 Urban 0.9000 13820 Urban 0.8959
01580 Shelby County, Alabama 1000 Urban 0.9000 13820 Urban 0.8959
01590 Sumter County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01600 Talladega County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01610 Tallapoosa County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01620 Tuscaloosa County, Alabama 8600 Urban 0.8764 46220 Urban 0.8645
01630 Walker County, Alabama 01 Rural 0.7432 13820 Urban 0.8959
01640 Washington County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01650 Wilcox County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
01660 Winston County, Alabama 01 Rural 0.7432 99901 Rural 0.7446
02013 Aleutians County East, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02016 Aleutians County West, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02020 Anchorage County, Alaska 0380 Urban 1.1784 11260 Urban 1.1895
02030 Angoon County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02040 Barrow-North Slope County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02050 Bethel County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02060 Bristol Bay Borough County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02068 Denali County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02070 Bristol Bay County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02080 Cordova-Mc Carthy County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02090 Fairbanks County, Alaska 02 Rural 1.1888 21820 Urban 1.1408
02100 Haines County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02110 Juneau County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02120 Kenai-Cook Inlet County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02122 Kenai Peninsula Borough, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02130 Ketchikan County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02140 Kobuk County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02150 Kodiak County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02160 Kuskokwin County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02164 Lake and Peninsula Borough, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02170 Matanuska County, Alaska 02 Rural 1.1888 11260 Urban 1.1895
02180 Nome County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02185 North Slope Borough, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02188 Northwest Arctic Borough, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02190 Outer Ketchikan County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02200 Prince Of Wales County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02201 Prince of Wales-Outer Ketchikan Census Area, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02210 Seward County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02220 Sitka County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02230 Skagway-Yakutat County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02231 Skagway-Yakutat-Angoon Census Area, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02232 Skagway-Hoonah-Angoon Census Area, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02240 Southeast Fairbanks County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02250 Upper Yukon County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02260 Valdz-Chitna-Whitier County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02261 Valdex-Cordove Census Area, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02270 Wade Hampton County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02280 Wrangell-Petersburg County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02282 Yakutat Borough, Alaska 02 Rural 1.1888 99902 Rural 1.1977
02290 Yukon-Koyukuk County, Alaska 02 Rural 1.1888 99902 Rural 1.1977
03000 Apache County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03010 Cochise County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03020 Coconino County, Arizona 2620 Urban 1.1845 22380 Urban 1.2092
03030 Gila County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03040 Graham County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03050 Greenlee County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03055 La Paz County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03060 Maricopa County, Arizona 6200 Urban 1.0127 38060 Urban 1.0127
03070 Mohave County, Arizona 4120 Urban 1.1155 99903 Rural 0.8768
03080 Navajo County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03090 Pima County, Arizona 8520 Urban 0.9007 46060 Urban 0.9007
03100 Pinal County, Arizona 6200 Urban 1.0127 38060 Urban 1.0127
03110 Santa Cruz County, Arizona 03 Rural 0.9045 99903 Rural 0.8768
03120 Yavapai County, Arizona 03 Rural 0.9045 39140 Urban 0.9869
03130 Yuma County, Arizona 9360 Urban 0.9126 49740 Urban 0.9126
04000 Arkansas County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04010 Ashley County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04020 Baxter County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04030 Benton County, Arkansas 2580 Urban 0.8661 22220 Urban 0.8661
04040 Boone County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04050 Bradley County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04060 Calhoun County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04070 Carroll County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04080 Chicot County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04090 Clark County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04100 Clay County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04110 Cleburne County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04120 Cleveland County, Arkansas 04 Rural 0.7744 38220 Urban 0.8680
04130 Columbia County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04140 Conway County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04150 Craighead County, Arkansas 3700 Urban 0.7911 27860 Urban 0.7911
04160 Crawford County, Arkansas 2720 Urban 0.8246 22900 Urban 0.8230
04170 Crittenden County, Arkansas 4920 Urban 0.9416 32820 Urban 0.9397
04180 Cross County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04190 Dallas County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04200 Desha County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04210 Drew County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04220 Faulkner County, Arkansas 4400 Urban 0.8747 30780 Urban 0.8747
04230 Franklin County, Arkansas 04 Rural 0.7744 22900 Urban 0.8230
04240 Fulton County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04250 Garland County, Arkansas 04 Rural 0.7744 26300 Urban 0.9005
04260 Grant County, Arkansas 04 Rural 0.7744 30780 Urban 0.8747
04270 Greene County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04280 Hempstead County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04290 Hot Spring County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04300 Howard County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04310 Independence County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04320 Izard County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04330 Jackson County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04340 Jefferson County, Arkansas 6240 Urban 0.8680 38220 Urban 0.8680
04350 Johnson County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04360 Lafayette County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04370 Lawrence County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04380 Lee County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04390 Lincoln County, Arkansas 04 Rural 0.7744 38220 Urban 0.8680
04400 Little River County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04410 Logan County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04420 Lonoke County, Arkansas 4400 Urban 0.8747 30780 Urban 0.8747
04430 Madison County, Arkansas 04 Rural 0.7744 22220 Urban 0.8661
04440 Marion County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04450 Miller County, Arkansas 8360 Urban 0.8283 45500 Urban 0.8283
04460 Mississippi County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04470 Monroe County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04480 Montgomery County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04490 Nevada County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04500 Newton County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04510 Ouachita County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04520 Perry County, Arkansas 04 Rural 0.7744 30780 Urban 0.8747
04530 Phillips County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04540 Pike County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04550 Poinsett County, Arkansas 04 Rural 0.7744 27860 Urban 0.7911
04560 Polk County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04570 Pope County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04580 Prairie County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04590 Pulaski County, Arkansas 4400 Urban 0.8747 30780 Urban 0.8747
04600 Randolph County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04610 St Francis County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04620 Saline County, Arkansas 4400 Urban 0.8747 30780 Urban 0.8747
04630 Scott County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04640 Searcy County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04650 Sebastian County, Arkansas 2720 Urban 0.8246 22900 Urban 0.8230
04660 Sevier County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04670 Sharp County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04680 Stone County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04690 Union County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04700 Van Buren County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04710 Washington County, Arkansas 2580 Urban 0.8661 22220 Urban 0.8661
04720 White County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04730 Woodruff County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
04740 Yell County, Arkansas 04 Rural 0.7744 99904 Rural 0.7466
05000 Alameda County, California 5775 Urban 1.5346 36084 Urban 1.5346
05010 Alpine County, California 05 Rural 1.0775 99905 Rural 1.1054
05020 Amador County, California 05 Rural 1.0775 99905 Rural 1.1054
05030 Butte County, California 1620 Urban 1.0511 17020 Urban 1.0511
05040 Calaveras County, California 05 Rural 1.0775 99905 Rural 1.1054
05050 Colusa County, California 05 Rural 1.0775 99905 Rural 1.1054
05060 Contra Costa County, California 5775 Urban 1.5346 36084 Urban 1.5346
05070 Del Norte County, California 05 Rural 1.0775 99905 Rural 1.1054
05080 Eldorado County, California 6920 Urban 1.3143 40900 Urban 1.2969
05090 Fresno County, California 2840 Urban 1.0428 23420 Urban 1.0538
05100 Glenn County, California 05 Rural 1.0775 99905 Rural 1.1054
05110 Humboldt County, California 05 Rural 1.0775 99905 Rural 1.1054
05120 Imperial County, California 05 Rural 1.0775 20940 Urban 0.8906
05130 Inyo County, California 05 Rural 1.0775 99905 Rural 1.1054
05140 Kern County, California 0680 Urban 1.0470 12540 Urban 1.0470
05150 Kings County, California 05 Rural 1.0775 25260 Urban 1.0036
05160 Lake County, California 05 Rural 1.0775 99905 Rural 1.1054
05170 Lassen County, California 05 Rural 1.0775 99905 Rural 1.1054
05200 Los Angeles County, California 4480 Urban 1.1783 31084 Urban 1.1783
05210 Los Angeles County, California 4480 Urban 1.1783 31084 Urban 1.1783
05300 Madera County, California 2840 Urban 1.0428 31460 Urban 0.8713
05310 Marin County, California 7360 Urban 1.4994 41884 Urban 1.4994
05320 Mariposa County, California 05 Rural 1.0775 99905 Rural 1.1054
05330 Mendocino County, California 05 Rural 1.0775 99905 Rural 1.1054
05340 Merced County, California 4940 Urban 1.1109 32900 Urban 1.1109
05350 Modoc County, California 05 Rural 1.0775 99905 Rural 1.1054
05360 Mono County, California 05 Rural 1.0775 99905 Rural 1.1054
05370 Monterey County, California 7120 Urban 1.4128 41500 Urban 1.4128
05380 Napa County, California 8720 Urban 1.3983 34900 Urban 1.2643
05390 Nevada County, California 05 Rural 1.0775 99905 Rural 1.1054
05400 Orange County, California 5945 Urban 1.1559 42044 Urban 1.1559
05410 Placer County, California 6920 Urban 1.3143 40900 Urban 1.2969
05420 Plumas County, California 05 Rural 1.0775 99905 Rural 1.1054
05430 Riverside County, California 6780 Urban 1.1027 40140 Urban 1.1027
05440 Sacramento County, California 6920 Urban 1.3143 40900 Urban 1.2969
05450 San Benito County, California 05 Rural 1.0775 41940 Urban 1.5099
05460 San Bernardino County, California 6780 Urban 1.1027 40140 Urban 1.1027
05470 San Diego County, California 7320 Urban 1.1413 41740 Urban 1.1413
05480 San Francisco County, California 7360 Urban 1.4994 41884 Urban 1.4994
05490 San Joaquin County, California 8120 Urban 1.1307 44700 Urban 1.1307
05500 San Luis Obispo County, California 7460 Urban 1.1349 42020 Urban 1.1349
05510 San Mateo County, California 7360 Urban 1.4994 41884 Urban 1.4994
05520 Santa Barbara County, California 7480 Urban 1.1694 42060 Urban 1.1694
05530 Santa Clara County, California 7400 Urban 1.5118 41940 Urban 1.5099
05540 Santa Cruz County, California 7485 Urban 1.5166 42100 Urban 1.5166
05550 Shasta County, California 6690 Urban 1.2203 39820 Urban 1.2203
05560 Sierra County, California 05 Rural 1.0775 99905 Rural 1.1054
05570 Siskiyou County, California 05 Rural 1.0775 99905 Rural 1.1054
05580 Solano County, California 8720 Urban 1.3983 46700 Urban 1.4936
05590 Sonoma County, California 7500 Urban 1.3493 42220 Urban 1.3493
05600 Stanislaus County, California 5170 Urban 1.1885 33700 Urban 1.1885
05610 Sutter County, California 9340 Urban 1.0921 49700 Urban 1.0921
05620 Tehama County, California 05 Rural 1.0775 99905 Rural 1.1054
05630 Trinity County, California 05 Rural 1.0775 99905 Rural 1.1054
05640 Tulare County, California 8780 Urban 1.0123 47300 Urban 1.0123
05650 Tuolumne County, California 05 Rural 1.0775 99905 Rural 1.1054
05660 Ventura County, California 8735 Urban 1.1622 37100 Urban 1.1622
05670 Yolo County, California 9270 Urban 0.9950 40900 Urban 1.2969
05680 Yuba County, California 9340 Urban 1.0921 49700 Urban 1.0921
06000 Adams County, Colorado 2080 Urban 1.0723 19740 Urban 1.0723
06010 Alamosa County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06020 Arapahoe County, Colorado 2080 Urban 1.0723 19740 Urban 1.0723
06030 Archuleta County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06040 Baca County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06050 Bent County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06060 Boulder County, Colorado 1125 Urban 0.9734 14500 Urban 0.9734
06070 Chaffee County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06080 Cheyenne County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06090 Clear Creek County, Colorado 06 Rural 0.9380 19740 Urban 1.0723
06100 Conejos County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06110 Costilla County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06120 Crowley County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06130 Custer County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06140 Delta County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06150 Denver County, Colorado 2080 Urban 1.0723 19740 Urban 1.0723
06160 Dolores County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06170 Douglas County, Colorado 2080 Urban 1.0723 19740 Urban 1.0723
06180 Eagle County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06190 Elbert County, Colorado 06 Rural 0.9380 19740 Urban 1.0723
06200 El Paso County, Colorado 1720 Urban 0.9468 17820 Urban 0.9468
06210 Fremont County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06220 Garfield County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06230 Gilpin County, Colorado 06 Rural 0.9380 19740 Urban 1.0723
06240 Grand County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06250 Gunnison County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06260 Hinsdale County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06270 Huerfano County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06280 Jackson County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06290 Jefferson County, Colorado 2080 Urban 1.0723 19740 Urban 1.0723
06300 Kiowa County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06310 Kit Carson County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06320 Lake County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06330 La Plata County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06340 Larimer County, Colorado 2670 Urban 1.0122 22660 Urban 1.0122
06350 Las Animas County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06360 Lincoln County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06370 Logan County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06380 Mesa County, Colorado 2995 Urban 0.9550 24300 Urban 0.9550
06390 Mineral County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06400 Moffat County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06410 Montezuma County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06420 Montrose County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06430 Morgan County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06440 Otero County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06450 Ouray County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06460 Park County, Colorado 06 Rural 0.9380 19740 Urban 1.0723
06470 Phillips County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06480 Pitkin County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06490 Prowers County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06500 Pueblo County, Colorado 6560 Urban 0.8623 39380 Urban 0.8623
06510 Rio Blanco County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06520 Rio Grande County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06530 Routt County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06540 Saguache County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06550 San Juan County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06560 San Miguel County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06570 Sedgwick County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06580 Summit County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06590 Teller County, Colorado 06 Rural 0.9380 17820 Urban 0.9468
06600 Washington County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06610 Weld County, Colorado 3060 Urban 0.9570 24540 Urban 0.9570
06620 Yuma County, Colorado 06 Rural 0.9380 99906 Rural 0.9380
06630 Broomfield County, Colorado 2080 Urban 1.0723 19740 Urban 1.0723
07000 Fairfield County, Connecticut 5483 Urban 1.2196 14860 Urban 1.2592
07010 Hartford County, Connecticut 3283 Urban 1.1073 25540 Urban 1.1073
07020 Litchfield County, Connecticut 3283 Urban 1.1073 25540 Urban 1.1073
07030 Middlesex County, Connecticut 3283 Urban 1.1073 25540 Urban 1.1073
07040 New Haven County, Connecticut 5483 Urban 1.2196 35300 Urban 1.1887
07050 New London County, Connecticut 5523 Urban 1.1345 35980 Urban 1.1345
07060 Tolland County, Connecticut 3283 Urban 1.1073 25540 Urban 1.1073
07070 Windham County, Connecticut 07 Rural 1.1730 99907 Rural 1.1730
08000 Kent County, Delaware 2190 Urban 0.9776 20100 Urban 0.9776
08010 New Castle County, Delaware 9160 Urban 1.0527 48864 Urban 1.0471
08020 Sussex County, Delaware 08 Rural 0.9579 99908 Rural 0.9579
09000 Washington DC County, Dist Of Col 8840 Urban 1.0976 47894 Urban 1.0926
10000 Alachua County, Florida 2900 Urban 0.9388 23540 Urban 0.9388
10010 Baker County, Florida 10 Rural 0.8677 27260 Urban 0.9290
10020 Bay County, Florida 6015 Urban 0.8005 37460 Urban 0.8005
10030 Bradford County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10040 Brevard County, Florida 4900 Urban 0.9839 37340 Urban 0.9839
10050 Broward County, Florida 2680 Urban 1.0432 22744 Urban 1.0432
10060 Calhoun County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10070 Charlotte County, Florida 6580 Urban 0.9255 39460 Urban 0.9255
10080 Citrus County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10090 Clay County, Florida 3600 Urban 0.9299 27260 Urban 0.9290
10100 Collier County, Florida 5345 Urban 1.0139 34940 Urban 1.0139
10110 Columbia County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10120 Dade County, Florida 5000 Urban 0.9750 33124 Urban 0.9750
10130 De Soto County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10140 Dixie County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10150 Duval County, Florida 3600 Urban 0.9299 27260 Urban 0.9290
10160 Escambia County, Florida 6080 Urban 0.8096 37860 Urban 0.8096
10170 Flagler County, Florida 2020 Urban 0.9325 99910 Rural 0.8568
10180 Franklin County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10190 Gadsden County, Florida 8240 Urban 0.8688 45220 Urban 0.8688
10200 Gilchrist County, Florida 10 Rural 0.8677 23540 Urban 0.9388
10210 Glades County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10220 Gulf County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10230 Hamilton County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10240 Hardee County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10250 Hendry County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10260 Hernando County, Florida 8280 Urban 0.9233 45300 Urban 0.9233
10270 Highlands County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10280 Hillsborough County, Florida 8280 Urban 0.9233 45300 Urban 0.9233
10290 Holmes County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10300 Indian River County, Florida 10 Rural 0.8677 46940 Urban 0.9434
10310 Jackson County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10320 Jefferson County, Florida 10 Rural 0.8677 45220 Urban 0.8688
10330 Lafayette County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10340 Lake County, Florida 5960 Urban 0.9464 36740 Urban 0.9464
10350 Lee County, Florida 2700 Urban 0.9356 15980 Urban 0.9356
10360 Leon County, Florida 8240 Urban 0.8688 45220 Urban 0.8688
10370 Levy County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10380 Liberty County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10390 Madison County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10400 Manatee County, Florida 7510 Urban 0.9639 42260 Urban 0.9639
10410 Marion County, Florida 5790 Urban 0.8925 36100 Urban 0.8925
10420 Martin County, Florida 2710 Urban 1.0123 38940 Urban 1.0123
10430 Monroe County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10440 Nassau County, Florida 3600 Urban 0.9299 27260 Urban 0.9290
10450 Okaloosa County, Florida 2750 Urban 0.8872 23020 Urban 0.8872
10460 Okeechobee County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10470 Orange County, Florida 5960 Urban 0.9464 36740 Urban 0.9464
10480 Osceola County, Florida 5960 Urban 0.9464 36740 Urban 0.9464
10490 Palm Beach County, Florida 8960 Urban 1.0067 48424 Urban 1.0067
10500 Pasco County, Florida 8280 Urban 0.9233 45300 Urban 0.9233
10510 Pinellas County, Florida 8280 Urban 0.9233 45300 Urban 0.9233
10520 Polk County, Florida 3980 Urban 0.8912 29460 Urban 0.8912
10530 Putnam County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10540 Johns County, Florida 3600 Urban 0.9299 27260 Urban 0.9290
10550 St Lucie County, Florida 2710 Urban 1.0123 38940 Urban 1.0123
10560 Santa Rosa County, Florida 6080 Urban 0.8096 37860 Urban 0.8096
10570 Sarasota County, Florida 7510 Urban 0.9639 42260 Urban 0.9639
10580 Seminole County, Florida 5960 Urban 0.9464 36740 Urban 0.9464
10590 Sumter County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10600 Suwannee County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10610 Taylor County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10620 Union County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10630 Volusia County, Florida 2020 Urban 0.9325 19660 Urban 0.9299
10640 Wakulla County, Florida 10 Rural 0.8677 45220 Urban 0.8688
10650 Walton County, Florida 10 Rural 0.8677 99910 Rural 0.8568
10660 Washington County, Florida 10 Rural 0.8677 99910 Rural 0.8568
11000 Appling County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11010 Atkinson County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11011 Bacon County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11020 Baker County, Georgia 11 Rural 0.8166 10500 Urban 0.8628
11030 Baldwin County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11040 Banks County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11050 Barrow County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11060 Bartow County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11070 Ben Hill County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11080 Berrien County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11090 Bibb County, Georgia 4680 Urban 0.9277 31420 Urban 0.9443
11100 Bleckley County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11110 Brantley County, Georgia 11 Rural 0.8166 15260 Urban 0.9311
11120 Brooks County, Georgia 11 Rural 0.8166 46660 Urban 0.8866
11130 Bryan County, Georgia 7520 Urban 0.9461 42340 Urban 0.9461
11140 Bulloch County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11150 Burke County, Georgia 11 Rural 0.8166 12260 Urban 0.9748
11160 Butts County, Georgia 11 Rural 0.8166 12060 Urban 0.9793
11161 Calhoun County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11170 Camden County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11180 Candler County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11190 Carroll County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11200 Catoosa County, Georgia 1560 Urban 0.9088 16860 Urban 0.9088
11210 Charlton County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11220 Chatham County, Georgia 7520 Urban 0.9461 42340 Urban 0.9461
11230 Chattahoochee County, Georgia 1800 Urban 0.8560 17980 Urban 0.8560
11240 Chattooga County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11250 Cherokee County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11260 Clarke County, Georgia 0500 Urban 0.9855 12020 Urban 0.9855
11270 Clay County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11280 Clayton County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11281 Clinch County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11290 Cobb County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11291 Coffee County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11300 Colquitt County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11310 Columbia County, Georgia 0600 Urban 0.9808 12260 Urban 0.9748
11311 Cook County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11320 Coweta County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11330 Crawford County, Georgia 11 Rural 0.8166 31420 Urban 0.9443
11340 Crisp County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11341 Dade County, Georgia 1560 Urban 0.9088 16860 Urban 0.9088
11350 Dawson County, Georgia 11 Rural 0.8166 12060 Urban 0.9793
11360 Decatur County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11370 De Kalb County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11380 Dodge County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11381 Dooly County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11390 Dougherty County, Georgia 0120 Urban 0.8628 10500 Urban 0.8628
11400 Douglas County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11410 Early County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11420 Echols County, Georgia 11 Rural 0.8166 46660 Urban 0.8866
11421 Effingham County, Georgia 7520 Urban 0.9461 42340 Urban 0.9461
11430 Elbert County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11440 Emanuel County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11441 Evans County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11450 Fannin County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11451 Fayette County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11460 Floyd County, Georgia 11 Rural 0.8166 40660 Urban 0.9414
11461 Forsyth County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11462 Franklin County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11470 Fulton County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11471 Gilmer County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11480 Glascock County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11490 Glynn County, Georgia 11 Rural 0.8166 15260 Urban 0.9311
11500 Gordon County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11510 Grady County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11520 Greene County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11530 Gwinnett County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11540 Habersham County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11550 Hall County, Georgia 11 Rural 0.8166 23580 Urban 0.8874
11560 Hancock County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11570 Haralson County, Georgia 11 Rural 0.8166 12060 Urban 0.9793
11580 Harris County, Georgia 1800 Urban 0.8560 17980 Urban 0.8560
11581 Hart County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11590 Heard County, Georgia 11 Rural 0.8166 12060 Urban 0.9793
11591 Henry County, Georgia 0520 Urban 0.9793 12060 Urban 0.9793
11600 Houston County, Georgia 4680 Urban 0.9277 47580 Urban 0.8645
11601 Irwin County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11610 Jackson County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11611 Jasper County, Georgia 11 Rural 0.8166 12060 Urban 0.9793
11612 Jeff Davis County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11620 Jefferson County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11630 Jenkins County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11640 Johnson County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11650 Jones County, Georgia 4680 Urban 0.9277 31420 Urban 0.9443
11651 Lamar County, Georgia 11 Rural 0.8166 12060 Urban 0.9793
11652 Lanier County, Georgia 11 Rural 0.8166 46660 Urban 0.8866
11660 Laurens County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11670 Lee County, Georgia 0120 Urban 0.8628 10500 Urban 0.8628
11680 Liberty County, Georgia 11 Rural 0.8166 25980 Urban 0.9198
11690 Lincoln County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11691 Long County, Georgia 11 Rural 0.8166 25980 Urban 0.9198
11700 Lowndes County, Georgia 11 Rural 0.8166 46660 Urban 0.8866
11701 Lumpkin County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11702 Mc Duffie County, Georgia 0600 Urban 0.9808 12260 Urban 0.9748
11703 Mc Intosh County, Georgia 11 Rural 0.8166 15260 Urban 0.9311
11710 Macon County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11720 Madison County, Georgia 0500 Urban 0.9855 12020 Urban 0.9855
11730 Marion County, Georgia 11 Rural 0.8166 17980 Urban 0.8560
11740 Meriwether County, Georgia 11 Rural 0.8166 12060 Urban 0.9793
11741 Miller County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11750 Mitchell County, Georgia 11 Rural 0.8166 99911 Rural 0.7662
11760 Monroe County, Georgia 11 Rural .08166 31420 Urban 0.9443
11770 Montgomery County, Georgia 11 Rural .08166 99911 Rural 0.7662
11771 Morgan County, Georgia 11 Rural .08166 99911 Rural 0.7662
11772 Murray County, Georgia 11 Rural .08166 19140 Urban 0.9079
11780 Muscogee County, Georgia 1800 Urban .08560 17980 Urban 0.8560
11790 Newton County, Georgia 0520 Urban .09793 12060 Urban 0.9793
11800 Oconee County, Georgia 0500 Urban .09855 12020 Urban 0.9855
11801 Oglethorpe County, Georgia 11 Rural .08166 12020 Urban 0.9855
11810 Paulding County, Georgia 0520 Urban .09793 12060 Urban 0.9793
11811 Peach County, Georgia 4680 Urban .09277 99911 Rural 0.7662
11812 Pickens County, Georgia 0520 Urban .09793 12060 Urban 0.9793
11820 Pierce County, Georgia 11 Rural .08166 99911 Rural 0.7662
11821 Pike County, Georgia 11 Rural .08166 12060 Urban 0.9793
11830 Polk County, Georgia 11 Rural .08166 99911 Rural 0.7662
11831 Pulaski County, Georgia 11 Rural .08166 99911 Rural 0.7662
11832 Putnam County, Georgia 11 Rural .08166 99911 Rural 0.7662
11833 Quitman County, Georgia 11 Rural .08166 99911 Rural 0.7662
11834 Rabun County, Georgia 11 Rural .08166 99911 Rural 0.7662
11835 Randolph County, Georgia 11 Rural .08166 99911 Rural 0.7662
11840 Richmond County, Georgia 0600 Urban .09808 12260 Urban 0.9748
11841 Rockdale County, Georgia 0520 Urban .09793 12060 Urban 0.9793
11842 Schley County, Georgia 11 Rural .08166 99911 Rural 0.7662
11850 Screven County, Georgia 11 Rural .08166 99911 Rural 0.7662
11851 Seminole County, Georgia 11 Rural .08166 99911 Rural 0.7662
11860 Spalding County, Georgia 0520 Urban .09793 12060 Urban 0.9793
11861 Stephens County, Georgia 11 Rural .08166 99911 Rural 0.7662
11862 Stewart County, Georgia 11 Rural .08166 99911 Rural 0.7662
11870 Sumter County, Georgia 11 Rural .08166 99911 Rural 0.7662
11880 Talbot County, Georgia 11 Rural .08166 99911 Rural 0.7662
11881 Taliaferro County, Georgia 11 Rural .08166 99911 Rural 0.7662
11882 Tattnall County, Georgia 11 Rural .08166 99911 Rural 0.7662
11883 Taylor County, Georgia 11 Rural .08166 99911 Rural 0.7662
11884 Telfair County, Georgia 11 Rural .08166 99911 Rural 0.7662
11885 Terrell County, Georgia 11 Rural .08166 10500 Urban 0.8628
11890 Thomas County, Georgia 11 Rural .08166 99911 Rural 0.7662
11900 Tift County, Georgia 11 Rural .08166 99911 Rural 0.7662
11901 Toombs County, Georgia 11 Rural .08166 99911 Rural 0.7662
11902 Towns County, Georgia 11 Rural .08166 99911 Rural 0.7662
11903 Treutlen County, Georgia 11 Rural .08166 99911 Rural 0.7662
11910 Troup County, Georgia 11 Rural .08166 99911 Rural 0.7662
11911 Turner County, Georgia 11 Rural .08166 99911 Rural 0.7662
11912 Twiggs County, Georgia 4680 Urban .09277 31420 Urban 0.9443
11913 Union County, Georgia 11 Rural .08166 99911 Rural 0.7662
11920 Upson County, Georgia 11 Rural .08166 99911 Rural 0.7662
11921 Walker County, Georgia 1560 Urban .09088 16860 Urban 0.9088
11930 Walton County, Georgia 0520 Urban .09793 12060 Urban 0.9793
11940 Ware County, Georgia 11 Rural .08166 99911 Rural 0.7662
11941 Warren County, Georgia 11 Rural .08166 99911 Rural 0.7662
11950 Washington County, Georgia 11 Rural .08166 99911 Rural 0.7662
11960 Wayne County, Georgia 11 Rural .08166 99911 Rural 0.7662
11961 Webster County, Georgia 11 Rural .08166 99911 Rural 0.7662
11962 Wheeler County, Georgia 11 Rural .08166 99911 Rural 0.7662
11963 White County, Georgia 11 Rural .08166 99911 Rural 0.7662
11970 Whitfield County, Georgia 11 Rural .08166 19140 Urban 0.9079
11971 Wilcox County, Georgia 11 Rural .08166 99911 Rural 0.7662
11972 Wilkes County, Georgia 11 Rural .08166 99911 Rural 0.7662
11973 Wilkinson County, Georgia 11 Rural .08166 99911 Rural 0.7662
11980 Worth County, Georgia 11 Rural .08166 10500 Urban 0.8628
12005 Kalawao County, Hawaii 12 Rural 1.0551 99912 Rural 1.0551
12010 Hawaii County, Hawaii 12 Rural 1.0551 99912 Rural 1.0551
12020 Honolulu County, Hawaii 3320 Urban 1.1214 26180 Urban 1.1214
12040 Kauai County, Hawaii 12 Rural 1.0551 99912 Rural 1.0551
12050 Maui County, Hawaii 12 Rural 1.0551 99912 Rural 1.0551
13000 Ada County, Idaho 1080 Urban 0.9052 14260 Urban 0.9052
13010 Adams County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13020 Bannock County, Idaho 6340 Urban 0.9351 38540 Urban 0.9351
13030 Bear Lake County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13040 Benewah County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13050 Bingham County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13060 Blaine County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13070 Boise County, Idaho 13 Rural 0.9097 14260 Urban 0.9052
13080 Bonner County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13090 Bonneville County, Idaho 13 Rural 0.9097 26820 Urban 0.9420
13100 Boundary County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13110 Butte County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13120 Camas County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13130 Canyon County, Idaho 1080 Urban 0.9052 14260 Urban 0.9052
13140 Caribou County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13150 Cassia County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13160 Clark County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13170 Clearwater County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13180 Custer County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13190 Elmore County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13200 Franklin County, Idaho 13 Rural 0.9097 30860 Urban 0.9164
13210 Fremont County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13220 Gem County, Idaho 13 Rural 0.9097 14260 Urban 0.9052
13230 Gooding County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13240 Idaho County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13250 Jefferson County, Idaho 13 Rural 0.9097 26820 Urban 0.9420
13260 Jerome County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13270 Kootenai County, Idaho 13 Rural 0.9097 17660 Urban 0.9647
13280 Latah County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13290 Lemhi County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13300 Lewis County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13310 Lincoln County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13320 Madison County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13330 Minidoka County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13340 Nez Perce County, Idaho 13 Rural 0.9097 30300 Urban 0.9886
13350 Oneida County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13360 Owyhee County, Idaho 13 Rural 0.9097 14260 Urban 0.9052
13370 Payette County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13380 Power County, Idaho 13 Rural 0.9097 38540 Urban 0.9351
13390 Shoshone County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13400 Teton County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13410 Twin Falls County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13420 Valley County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
13430 Washington County, Idaho 13 Rural 0.9097 99913 Rural 0.8037
14000 Adams County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14010 Alexander County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14020 Bond County, Illinois 14 Rural 0.8301 41180 Urban 0.8954
14030 Boone County, Illinois 6880 Urban 0.9984 40420 Urban 0.9984
14040 Brown County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14050 Bureau County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14060 Calhoun County, Illinois 14 Rural 0.8301 41180 Urban 0.8954
14070 Carroll County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14080 Cass County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14090 Champaign County, Illinois 1400 Urban 0.9594 16580 Urban 0.9594
14100 Christian County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14110 Clark County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14120 Clay County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14130 Clinton County, Illinois 7040 Urban 0.8962 41180 Urban 0.8954
14140 Coles County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14141 Cook County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14150 Crawford County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14160 Cumberland County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14170 De Kalb County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14180 De Witt County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14190 Douglas County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14250 Du Page County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14310 Edgar County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14320 Edwards County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14330 Effingham County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14340 Fayette County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14350 Ford County, Illinois 14 Rural 0.8301 16580 Urban 0.9594
14360 Franklin County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14370 Fulton County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14380 Gallatin County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14390 Greene County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14400 Grundy County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14410 Hamilton County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14420 Hancock County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14421 Hardin County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14440 Henderson County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14450 Henry County, Illinois 1960 Urban 0.8724 19340 Urban 0.8724
14460 Iroquois County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14470 Jackson County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14480 Jasper County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14490 Jefferson County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14500 Jersey County, Illinois 7040 Urban 0.8962 41180 Urban 0.8954
14510 Jo Daviess County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14520 Johnson County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14530 Kane County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14540 Kankakee County, Illinois 3740 Urban 1.0721 28100 Urban 1.0721
14550 Kendall County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14560 Knox County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14570 Lake County, Illinois 1600 Urban 1.0783 29404 Urban 1.0429
14580 La Salle County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14590 Lawrence County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14600 Lee County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14610 Livingston County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14620 Logan County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14630 Mc Donough County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14640 Mc Henry County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14650 Mclean County, Illinois 1040 Urban 0.9075 14060 Urban 0.9075
14660 Macon County, Illinois 2040 Urban 0.8067 19500 Urban 0.8067
14670 Macoupin County, Illinois 14 Rural 0.8301 41180 Urban 0.8954
14680 Madison County, Illinois 7040 Urban 0.8962 41180 Urban 0.8954
14690 Marion County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14700 Marshall County, Illinois 14 Rural 0.8301 37900 Urban 0.8870
14710 Mason County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14720 Massac County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14730 Menard County, Illinois 7880 Urban 0.8792 44100 Urban 0.8792
14740 Mercer County, Illinois 14 Rural 0.8301 19340 Urban 0.8724
14750 Monroe County, Illinois 7040 Urban 0.8962 41180 Urban 0.8954
14760 Montgomery County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14770 Morgan County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14780 Moultrie County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14790 Ogle County, Illinois 6880 Urban 0.9984 99914 Rural 0.8271
14800 Peoria County, Illinois 6120 Urban 0.8870 37900 Urban 0.8870
14810 Perry County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14820 Piatt County, Illinois 14 Rural 0.8301 16580 Urban 0.9594
14830 Pike County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14831 Pope County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14850 Pulaski County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14860 Putnam County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14870 Randolph County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14880 Richland County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14890 Rock Island County, Illinois 1960 Urban 0.8724 19340 Urban 0.8724
14900 St Clair County, Illinois 7040 Urban 0.8962 41180 Urban 0.8954
14910 Saline County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14920 Sangamon County, Illinois 7880 Urban 0.8792 44100 Urban 0.8792
14921 Schuyler County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14940 Scott County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14950 Shelby County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14960 Stark County, Illinois 14 Rural 0.8301 37900 Urban 0.8870
14970 Stephenson County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14980 Tazewell County, Illinois 6120 Urban 0.8870 37900 Urban 0.8870
14981 Union County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14982 Vermilion County, Illinois 14 Rural 0.8301 19180 Urban 0.9028
14983 Wabash County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14984 Warren County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14985 Washington County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14986 Wayne County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14987 White County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14988 Whiteside County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14989 Will County, Illinois 1600 Urban 1.0783 16974 Urban 1.0790
14990 Williamson County, Illinois 14 Rural 0.8301 99914 Rural 0.8271
14991 Winnebago County, Illinois 6880 Urban 0.9984 40420 Urban 0.9984
14992 Woodford County, Illinois 6120 Urban 0.8870 37900 Urban 0.8870
15000 Adams County, Indiana 2760 Urban 0.9706 99915 Rural 0.8624
15010 Allen County, Indiana 2760 Urban 0.9706 23060 Urban 0.9793
15020 Bartholomew County, Indiana 15 Rural 0.8739 18020 Urban 0.9588
15030 Benton County, Indiana 15 Rural 0.8739 29140 Urban 0.8736
15040 Blackford County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15050 Boone County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15060 Brown County, Indiana 15 Rural 0.8739 26900 Urban 0.9920
15070 Carroll County, Indiana 15 Rural 0.8739 29140 Urban 0.8736
15080 Cass County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15090 Clark County, Indiana 4520 Urban 0.9293 31140 Urban 0.9251
15100 Clay County, Indiana 8320 Urban 0.8337 45460 Urban 0.8304
15110 Clinton County, Indiana 3920 Urban 0.8736 99915 Rural 0.8624
15120 Crawford County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15130 Daviess County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15140 Dearborn County, Indiana 1640 Urban 0.9734 17140 Urban 0.9615
15150 Decatur County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15160 De Kalb County, Indiana 2760 Urban 0.9706 99915 Rural 0.8624
15170 Delaware County, Indiana 5280 Urban 0.8930 34620 Urban 0.8930
15180 Dubois County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15190 Elkhart County, Indiana 2330 Urban 0.9627 21140 Urban 0.9627
15200 Fayette County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15210 Floyd County, Indiana 4520 Urban 0.9293 31140 Urban 0.9251
15220 Fountain County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15230 Franklin County, Indiana 15 Rural 0.8739 17140 Urban 0.9615
15240 Fulton County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15250 Gibson County, Indiana 15 Rural 0.8739 21780 Urban 0.8713
15260 Grant County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15270 Greene County, Indiana 15 Rural 0.8739 14020 Urban 0.8447
15280 Hamilton County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15290 Hancock County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15300 Harrison County, Indiana 4520 Urban 0.9293 31140 Urban 0.9251
15310 Hendricks County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15320 Henry County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15330 Howard County, Indiana 3850 Urban 0.9508 29020 Urban 0.9508
15340 Huntington County, Indiana 2760 Urban 0.9706 99915 Rural 0.8624
15350 Jackson County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15360 Jasper County, Indiana 15 Rural 0.8739 23844 Urban 0.9395
15370 Jay County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15380 Jefferson County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15390 Jennings County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15400 Johnson County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15410 Knox County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15420 Kosciusko County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15430 Lagrange County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15440 Lake County, Indiana 2960 Urban 0.9395 23844 Urban 0.9395
15450 La Porte County, Indiana 15 Rural 0.8739 33140 Urban 0.9399
15460 Lawrence County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15470 Madison County, Indiana 3480 Urban 0.9865 11300 Urban 0.8586
15480 Marion County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15490 Marshall County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15500 Martin County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15510 Miami County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15520 Monroe County, Indiana 1020 Urban 0.8447 14020 Urban 0.8447
15530 Montgomery County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15540 Morgan County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15550 Newton County, Indiana 15 Rural 0.8739 23844 Urban 0.9395
15560 Noble County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15570 Ohio County, Indiana 1640 Urban 0.9734 17140 Urban 0.9615
15580 Orange County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15590 Owen County, Indiana 15 Rural 0.8739 14020 Urban 0.8447
15600 Parke County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15610 Perry County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15620 Pike County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15630 Porter County, Indiana 2960 Urban 0.9395 23844 Urban 0.9395
15640 Posey County, Indiana 2440 Urban 0.8713 21780 Urban 0.8713
15650 Pulaski County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15660 Putnam County, Indiana 15 Rural 0.8739 26900 Urban 0.9920
15670 Randolph County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15680 Ripley County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15690 Rush County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15700 St Joseph County, Indiana 7800 Urban 0.9788 43780 Urban 0.9788
15710 Scott County, Indiana 4520 Urban 0.9293 99915 Rural 0.8624
15720 Shelby County, Indiana 3480 Urban 0.9865 26900 Urban 0.9920
15730 Spencer County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15740 Starke County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15750 Steuben County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15760 Sullivan County, Indiana 15 Rural 0.8739 45460 Urban 0.8304
15770 Switzerland County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15780 Tippecanoe County, Indiana 3920 Urban 0.8736 29140 Urban 0.8736
15790 Tipton County, Indiana 3850 Urban 0.9508 29020 Urban 0.9508
15800 Union County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15810 Vanderburgh County, Indiana 2440 Urban 0.8713 21780 Urban 0.8713
15820 Vermillion County, Indiana 8320 Urban 0.8337 45460 Urban 0.8304
15830 Vigo County, Indiana 8320 Urban 0.8337 45460 Urban 0.8304
15840 Wabash County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15850 Warren County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15860 Warrick County, Indiana 2440 Urban 0.8713 21780 Urban 0.8713
15870 Washington County, Indiana 15 Rural 0.8739 31140 Urban 0.9251
15880 Wayne County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15890 Wells County, Indiana 2760 Urban 0.9706 23060 Urban 0.9793
15900 White County, Indiana 15 Rural 0.8739 99915 Rural 0.8624
15910 Whitley County, Indiana 2760 Urban 0.9706 23060 Urban 0.9793
16000 Adair County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16010 Adams County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16020 Allamakee County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16030 Appanoose County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16040 Audubon County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16050 Benton County, Iowa 16 Rural 0.8594 16300 Urban 0.8825
16060 Black Hawk County, Iowa 8920 Urban 0.8557 47940 Urban 0.8557
16070 Boone County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16080 Bremer County, Iowa 16 Rural 0.8594 47940 Urban 0.8557
16090 Buchanan County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16100 Buena Vista County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16110 Butler County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16120 Calhoun County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16130 Carroll County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16140 Cass County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16150 Cedar County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16160 Cerro Gordo County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16170 Cherokee County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16180 Chickasaw County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16190 Clarke County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16200 Clay County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16210 Clayton County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16220 Clinton County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16230 Crawford County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16240 Dallas County, Iowa 2120 Urban 0.9669 19780 Urban 0.9669
16250 Davis County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16260 Decatur County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16270 Delaware County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16280 Des Moines County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16290 Dickinson County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16300 Dubuque County, Iowa 2200 Urban 0.9024 20220 Urban 0.9024
16310 Emmet County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16320 Fayette County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16330 Floyd County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16340 Franklin County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16350 Fremont County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16360 Greene County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16370 Grundy County, Iowa 16 Rural 0.8594 47940 Urban 0.8557
16380 Guthrie County, Iowa 16 Rural 0.8594 19780 Urban 0.9669
16390 Hamilton County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16400 Hancock County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16410 Hardin County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16420 Harrison County, Iowa 16 Rural 0.8594 36540 Urban 0.9560
16430 Henry County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16440 Howard County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16450 Humboldt County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16460 Ida County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16470 Iowa County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16480 Jackson County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16490 Jasper County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16500 Jefferson County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16510 Johnson County, Iowa 3500 Urban 0.9747 26980 Urban 0.9747
16520 Jones County, Iowa 16 Rural 0.8594 16300 Urban 0.8825
16530 Keokuk County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16540 Kossuth County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16550 Lee County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16560 Linn County, Iowa 1360 Urban 0.8825 16300 Urban 0.8825
16570 Louisa County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16580 Lucas County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16590 Lyon County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16600 Madison County, Iowa 16 Rural 0.8594 19780 Urban 0.9669
16610 Mahaska County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16620 Marion County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16630 Marshall County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16640 Mills County, Iowa 16 Rural 0.8594 36540 Urban 0.9560
16650 Mitchell County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16660 Monona County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16670 Monroe County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16680 Montgomery County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16690 Muscatine County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16700 O Brien County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16710 Osceola County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16720 Page County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16730 Palo Alto County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16740 Plymouth County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16750 Pocahontas County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16760 Polk County, Iowa 2120 Urban 0.9669 19780 Urban 0.9669
16770 Pottawattamie County, Iowa 5920 Urban 0.9560 36540 Urban 0.9560
16780 Poweshiek County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16790 Ringgold County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16800 Sac County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16810 Scott County, Iowa 1960 Urban 0.8724 19340 Urban 0.8724
16820 Shelby County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16830 Sioux County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16840 Story County, Iowa 16 Rural 0.8594 11180 Urban 0.9536
16850 Tama County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16860 Taylor County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16870 Union County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16880 Van Buren County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16890 Wapello County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16900 Warren County, Iowa 2120 Urban 0.9669 19780 Urban 0.9669
16910 Washington County, Iowa 16 Rural 0.8594 26980 Urban 0.9747
16920 Wayne County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16930 Webster County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16940 Winnebago County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16950 Winneshiek County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16960 Woodbury County, Iowa 7720 Urban 0.9416 43580 Urban 0.9381
16970 Worth County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
16980 Wright County, Iowa 16 Rural 0.8594 99916 Rural 0.8509
17000 Allen County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17010 Anderson County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17020 Atchison County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17030 Barber County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17040 Barton County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17050 Bourbon County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17060 Brown County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17070 Butler County, Kansas 9040 Urban 0.9175 48620 Urban 0.9153
17080 Chase County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17090 Chautauqua County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17100 Cherokee County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17110 Cheyenne County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17120 Clark County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17130 Clay County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17140 Cloud County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17150 Coffey County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17160 Comanche County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17170 Cowley County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17180 Crawford County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17190 Decatur County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17200 Dickinson County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17210 Doniphan County, Kansas 17 Rural 0.8040 41140 Urban 0.9519
17220 Douglas County, Kansas 4150 Urban 0.8537 29940 Urban 0.8537
17230 Edwards County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17240 Elk County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17250 Ellis County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17260 Ellsworth County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17270 Finney County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17280 Ford County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17290 Franklin County, Kansas 17 Rural 0.8040 28140 Urban 0.9476
17300 Geary County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17310 Gove County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17320 Graham County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17330 Grant County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17340 Gray County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17350 Greeley County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17360 Greenwood County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17370 Hamilton County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17380 Harper County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17390 Harvey County, Kansas 9040 Urban 0.9175 48620 Urban 0.9153
17391 Haskell County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17410 Hodgeman County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17420 Jackson County, Kansas 17 Rural 0.8040 45820 Urban 0.8920
17430 Jefferson County, Kansas 17 Rural 0.8040 45820 Urban 0.8920
17440 Jewell County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17450 Johnson County, Kansas 3760 Urban 0.9490 28140 Urban 0.9476
17451 Kearny County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17470 Kingman County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17480 Kiowa County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17490 Labette County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17500 Lane County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17510 Leavenworth County, Kansas 3760 Urban 0.9490 28140 Urban 0.9476
17520 Lincoln County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17530 Linn County, Kansas 17 Rural 0.8040 28140 Urban 0.9476
17540 Logan County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17550 Lyon County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17560 Mc Pherson County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17570 Marion County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17580 Marshall County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17590 Meade County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17600 Miami County, Kansas 3760 Urban 0.9490 28140 Urban 0.9476
17610 Mitchell County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17620 Montgomery County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17630 Morris County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17640 Morton County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17650 Nemaha County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17660 Neosho County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17670 Ness County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17680 Norton County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17690 Osage County, Kansas 17 Rural 0.8040 45820 Urban 0.8920
17700 Osborne County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17710 Ottawa County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17720 Pawnee County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17730 Phillips County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17740 Pottawatomie County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17750 Pratt County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17760 Rawlins County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17770 Reno County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17780 Republic County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17790 Rice County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17800 Riley County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17810 Rooks County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17820 Rush County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17830 Russell County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17840 Saline County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17841 Scott County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17860 Sedgwick County, Kansas 9040 Urban 0.9175 48620 Urban 0.9153
17870 Seward County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17880 Shawnee County, Kansas 8440 Urban 0.8920 45820 Urban 0.8920
17890 Sheridan County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17900 Sherman County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17910 Smith County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17920 Stafford County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17921 Stanton County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17940 Stevens County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17950 Sumner County, Kansas 17 Rural 0.8040 48620 Urban 0.9153
17960 Thomas County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17970 Trego County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17980 Wabaunsee County, Kansas 17 Rural 0.8040 45820 Urban 0.8920
17981 Wallace County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17982 Washington County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17983 Wichita County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17984 Wilson County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17985 Woodson County, Kansas 17 Rural 0.8040 99917 Rural 0.8035
17986 Wyandotte County, Kansas 3760 Urban 0.9490 28140 Urban 0.9476
18000 Adair County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18010 Allen County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18020 Anderson County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18030 Ballard County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18040 Barren County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18050 Bath County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18060 Bell County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18070 Boone County, Kentucky 1640 Urban 0.9734 17140 Urban 0.9615
18080 Bourbon County, Kentucky 4280 Urban 0.8988 30460 Urban 0.9075
18090 Boyd County, Kentucky 3400 Urban 0.9477 26580 Urban 0.9477
18100 Boyle County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18110 Bracken County, Kentucky 18 Rural 0.7858 17140 Urban 0.9615
18120 Breathitt County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18130 Breckinridge County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18140 Bullitt County, Kentucky 4520 Urban 0.9293 31140 Urban 0.9251
18150 Butler County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18160 Caldwell County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18170 Calloway County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18180 Campbell County, Kentucky 1640 Urban 0.9734 17140 Urban 0.9615
18190 Carlisle County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18191 Carroll County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18210 Carter County, Kentucky 3400 Urban 0.9477 99918 Rural 0.7766
18220 Casey County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18230 Christian County, Kentucky 1660 Urban 0.8284 17300 Urban 0.8284
18240 Clark County, Kentucky 4280 Urban 0.8988 30460 Urban 0.9075
18250 Clay County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18260 Clinton County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18270 Crittenden County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18271 Cumberland County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18290 Daviess County, Kentucky 5990 Urban 0.8780 36980 Urban 0.8780
18291 Edmonson County, Kentucky 18 Rural 0.7858 14540 Urban 0.8211
18310 Elliott County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18320 Estill County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18330 Fayette County, Kentucky 4280 Urban 0.8988 30460 Urban 0.9075
18340 Fleming County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18350 Floyd County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18360 Franklin County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18361 Fulton County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18362 Gallatin County, Kentucky 1640 Urban 0.9734 17140 Urban 0.9615
18390 Garrard County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18400 Grant County, Kentucky 1640 Urban 0.9734 17140 Urban 0.9615
18410 Graves County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18420 Grayson County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18421 Green County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18440 Greenup County, Kentucky 3400 Urban 0.9477 26580 Urban 0.9477
18450 Hancock County, Kentucky 18 Rural 0.7858 36980 Urban 0.8780
18460 Hardin County, Kentucky 18 Rural 0.7858 21060 Urban 0.8802
18470 Harlan County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18480 Harrison County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18490 Hart County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18500 Henderson County, Kentucky 2440 Urban 0.8713 21780 Urban 0.8713
18510 Henry County, Kentucky 18 Rural 0.7858 31140 Urban 0.9251
18511 Hickman County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18530 Hopkins County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18540 Jackson County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18550 Jefferson County, Kentucky 4520 Urban 0.9293 31140 Urban 0.9251
18560 Jessamine County, Kentucky 4280 Urban 0.8988 30460 Urban 0.9075
18570 Johnson County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18580 Kenton County, Kentucky 1640 Urban 0.9734 17140 Urban 0.9615
18590 Knott County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18600 Knox County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18610 Larue County, Kentucky 18 Rural 0.7858 21060 Urban 0.8802
18620 Laurel County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18630 Lawrence County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18640 Lee County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18650 Leslie County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18660 Letcher County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18670 Lewis County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18680 Lincoln County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18690 Livingston County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18700 Logan County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18710 Lyon County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18720 Mc Cracken County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18730 Mc Creary County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18740 Mc Lean County, Kentucky 18 Rural 0.7858 36980 Urban 0.8780
18750 Madison County, Kentucky 4280 Urban 0.8988 99918 Rural 0.7766
18760 Magoffin County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18770 Marion County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18780 Marshall County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18790 Martin County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18800 Mason County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18801 Meade County, Kentucky 18 Rural 0.7858 31140 Urban 0.9251
18802 Menifee County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18830 Mercer County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18831 Metcalfe County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18850 Monroe County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18860 Montgomery County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18861 Morgan County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18880 Muhlenberg County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18890 Nelson County, Kentucky 18 Rural 0.7858 31140 Urban 0.9251
18900 Nicholas County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18910 Ohio County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18920 Oldham County, Kentucky 4520 Urban 0.9293 31140 Urban 0.9251
18930 Owen County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18931 Owsley County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18932 Pendleton County, Kentucky 1640 Urban 0.9734 17140 Urban 0.9615
18960 Perry County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18970 Pike County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18971 Powell County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18972 Pulaski County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18973 Robertson County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18974 Rockcastle County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18975 Rowan County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18976 Russell County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18977 Scott County, Kentucky 4280 Urban 0.8988 30460 Urban 0.9075
18978 Shelby County, Kentucky 18 Rural 0.7858 31140 Urban 0.9251
18979 Simpson County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18980 Spencer County, Kentucky 18 Rural 0.7858 31140 Urban 0.9251
18981 Taylor County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18982 Todd County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18983 Trigg County, Kentucky 18 Rural 0.7858 17300 Urban 0.8284
18984 Trimble County, Kentucky 18 Rural 0.7858 31140 Urban 0.9251
18985 Union County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18986 Warren County, Kentucky 18 Rural 0.7858 14540 Urban 0.8211
18987 Washington County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18988 Wayne County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18989 Webster County, Kentucky 18 Rural 0.7858 21780 Urban 0.8713
18990 Whitley County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18991 Wolfe County, Kentucky 18 Rural 0.7858 99918 Rural 0.7766
18992 Woodford County, Kentucky 4280 Urban 0.8988 30460 Urban 0.9075
19000 Acadia County, Louisiana 3880 Urban 0.8251 99919 Rural 0.7411
19010 Allen County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19020 Ascension County, Louisiana 0760 Urban 0.8643 12940 Urban 0.8593
19030 Assumption County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19040 Avoyelles County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19050 Beauregard County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19060 Bienville County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19070 Bossier County, Louisiana 7680 Urban 0.8737 43340 Urban 0.8760
19080 Caddo County, Louisiana 7680 Urban 0.8737 43340 Urban 0.8760
19090 Calcasieu County, Louisiana 3960 Urban 0.7858 29340 Urban 0.7833
19100 Caldwell County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19110 Cameron County, Louisiana 19 Rural 0.7340 29340 Urban 0.7833
19120 Catahoula County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19130 Claiborne County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19140 Concordia County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19150 De Soto County, Louisiana 19 Rural 0.7340 43340 Urban 0.8760
19160 East Baton Rouge County, Louisiana 0760 Urban 0.8643 12940 Urban 0.8593
19170 East Carroll County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19180 East Feliciana County, Louisiana 19 Rural 0.7340 12940 Urban 0.8593
19190 Evangeline County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19200 Franklin County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19210 Grant County, Louisiana 19 Rural 0.7340 10780 Urban 0.8033
19220 Iberia County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19230 Iberville County, Louisiana 19 Rural 0.7340 12940 Urban 0.8593
19240 Jackson County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19250 Jefferson County, Louisiana 5560 Urban 0.8995 35380 Urban 0.8995
19260 Jefferson Davis County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19270 Lafayette County, Louisiana 3880 Urban 0.8251 29180 Urban 0.8428
19280 Lafourche County, Louisiana 3350 Urban 0.7894 26380 Urban 0.7894
19290 La Salle County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19300 Lincoln County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19310 Livingston County, Louisiana 0760 Urban 0.8643 12940 Urban 0.8593
19320 Madison County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19330 Morehouse County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19340 Natchitoches County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19350 Orleans County, Louisiana 5560 Urban 0.8995 35380 Urban 0.8995
19360 Ouachita County, Louisiana 5200 Urban 0.8044 33740 Urban 0.8031
19370 Plaquemines County, Louisiana 5560 Urban 0.8995 35380 Urban 0.8995
19380 Pointe Coupee County, Louisiana 19 Rural 0.7340 12940 Urban 0.8593
19390 Rapides County, Louisiana 0220 Urban 0.8033 10780 Urban 0.8033
19400 Red River County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19410 Richland County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19420 Sabine County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19430 St Bernard County, Louisiana 5560 Urban 0.8995 35380 Urban 0.8995
19440 St Charles County, Louisiana 5560 Urban 0.8995 35380 Urban 0.8995
19450 St Helena County, Louisiana 19 Rural 0.7340 12940 Urban 0.8593
19460 St James County, Louisiana 5560 Urban 0.8995 99919 Rural 0.7411
19470 St John Baptist County, Louisiana 5560 Urban 0.8995 35380 Urban 0.8995
19480 St Landry County, Louisiana 3880 Urban 0.8251 99919 Rural 0.7411
19490 St Martin County, Louisiana 3880 Urban 0.8251 29180 Urban 0.8428
19500 St Mary County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19510 St Tammany County, Louisiana 5560 Urban 0.8995 35380 Urban 0.8995
19520 Tangipahoa County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19530 Tensas County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19540 Terrebonne County, Louisiana 3350 Urban 0.7894 26380 Urban 0.7894
19550 Union County, Louisiana 19 Rural 0.7340 33740 Urban 0.8031
19560 Vermilion County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19570 Vernon County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19580 Washington County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19590 Webster County, Louisiana 7680 Urban 0.8737 99919 Rural 0.7411
19600 West Baton Rouge County, Louisiana 0760 Urban 0.8643 12940 Urban 0.8593
19610 West Carroll County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
19620 West Feliciana County, Louisiana 19 Rural 0.7340 12940 Urban 0.8593
19630 Winn County, Louisiana 19 Rural 0.7340 99919 Rural 0.7411
20000 Androscoggin County, Maine 4243 Urban 0.9331 30340 Urban 0.9331
20010 Aroostook County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20020 Cumberland County, Maine 6403 Urban 1.0382 38860 Urban 1.0382
20030 Franklin County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20040 Hancock County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20050 Kennebec County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20060 Knox County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20070 Lincoln County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20080 Oxford County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20090 Penobscot County, Maine 0733 Urban 0.9993 12620 Urban 0.9993
20100 Piscataquis County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20110 Sagadahoc County, Maine 6403 Urban 1.0382 38860 Urban 1.0382
20120 Somerset County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20130 Waldo County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20140 Washington County, Maine 20 Rural 0.8843 99920 Rural 0.8843
20150 York County, Maine 6403 Urban 1.0382 38860 Urban 1.0382
21000 Allegany County, Maryland 1900 Urban 0.9317 19060 Urban 0.9317
21010 Anne Arundel County, Maryland 0720 Urban 0.9897 12580 Urban 0.9897
21020 Baltimore County, Maryland 0720 Urban 0.9897 12580 Urban 0.9897
21030 Baltimore City County, Maryland 0720 Urban 0.9897 12580 Urban 0.9897
21040 Calvert County, Maryland 8840 Urban 1.0976 47894 Urban 1.0926
21050 Caroline County, Maryland 21 Rural 0.9230 99921 Rural 0.9353
21060 Carroll County, Maryland 0720 Urban 0.9897 12580 Urban 0.9897
21070 Cecil County, Maryland 9160 Urban 1.0527 48864 Urban 1.0471
21080 Charles County, Maryland 8840 Urban 1.0976 47894 Urban 1.0926
21090 Dorchester County, Maryland 21 Rural 0.9230 99921 Rural 0.9353
21100 Frederick County, Maryland 8840 Urban 1.0976 13644 Urban 1.1483
21110 Garrett County, Maryland 21 Rural 0.9230 99921 Rural 0.9353
21120 Harford County, Maryland 0720 Urban 0.9897 12580 Urban 0.9897
21130 Howard County, Maryland 0720 Urban 0.9897 12580 Urban 0.9897
21140 Kent County, Maryland 21 Rural 0.9230 99921 Rural 0.9353
21150 Montgomery County, Maryland 8840 Urban 1.0976 13644 Urban 1.1483
21160 Prince Georges County, Maryland 8840 Urban 1.0976 47894 Urban 1.0926
21170 Queen Annes County, Maryland 0720 Urban 0.9897 12580 Urban 0.9897
21180 St Marys County, Maryland 21 Rural 0.9230 99921 Rural 0.9353
21190 Somerset County, Maryland 21 Rural 0.9230 41540 Urban 0.9064
21200 Talbot County, Maryland 21 Rural 0.9230 99921 Rural 0.9353
21210 Washington County, Maryland 3180 Urban 0.9869 25180 Urban 0.9489
21220 Wicomico County, Maryland 21 Rural 0.9230 41540 Urban 0.9064
21230 Worcester County, Maryland 21 Rural 0.9230 99921 Rural 0.9353
22000 Barnstable County, Massachusetts 0743 Urban 1.2600 12700 Urban 1.2600
22010 Berkshire County, Massachusetts 6323 Urban 1.0181 38340 Urban 1.0181
22020 Bristol County, Massachusetts 1123 Urban 1.1178 39300 Urban 1.0966
22030 Dukes County, Massachusetts 22 Rural 1.0216 99922 Rural 1.0216
22040 Essex County, Massachusetts 1123 Urban 1.1178 21604 Urban 1.0538
22060 Franklin County, Massachusetts 22 Rural 1.0216 44140 Urban 1.0248
22070 Hampden County, Massachusetts 8003 Urban 1.0263 44140 Urban 1.0248
22080 Hampshire County, Massachusetts 8003 Urban 1.0263 44140 Urban 1.0248
22090 Middlesex County, Massachusetts 1123 Urban 1.1178 15764 Urban 1.1172
22120 Nantucket County, Massachusetts 22 Rural 1.0216 99922 Rural 1.0216
22130 Norfolk County, Massachusetts 1123 Urban 1.1178 14484 Urban 1.1558
22150 Plymouth County, Massachusetts 1123 Urban 1.1178 14484 Urban 1.1558
22160 Suffolk County, Massachusetts 1123 Urban 1.1178 14484 Urban 1.1558
22170 Worcester County, Massachusetts 1123 Urban 1.1178 49340 Urban 1.1028
23000 Alcona County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23010 Alger County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23020 Allegan County, Michigan 3000 Urban 0.9445 99923 Rural 0.8895
23030 Alpena County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23040 Antrim County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23050 Arenac County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23060 Baraga County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23070 Barry County, Michigan 23 Rural 0.8824 24340 Urban 0.9390
23080 Bay County, Michigan 6960 Urban 0.9241 13020 Urban 0.9343
23090 Benzie County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23100 Berrien County, Michigan 0870 Urban 0.8879 35660 Urban 0.8879
23110 Branch County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23120 Calhoun County, Michigan 3720 Urban 1.0143 12980 Urban 0.9508
23130 Cass County, Michigan 23 Rural 0.8824 43780 Urban 0.9788
23140 Charlevoix County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23150 Cheboygan County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23160 Chippewa County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23170 Clare County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23180 Clinton County, Michigan 4040 Urban 0.9794 29620 Urban 0.9794
23190 Crawford County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23200 Delta County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23210 Dickinson County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23220 Eaton County, Michigan 4040 Urban 0.9794 29620 Urban 0.9794
23230 Emmet County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23240 Genesee County, Michigan 2640 Urban 1.0655 22420 Urban 1.0655
23250 Gladwin County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23260 Gogebic County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23270 Grand Traverse County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23280 Gratiot County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23290 Hillsdale County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23300 Houghton County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23310 Huron County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23320 Ingham County, Michigan 4040 Urban 0.9794 29620 Urban 0.9794
23330 Ionia County, Michigan 23 Rural 0.8824 24340 Urban 0.9390
23340 Iosco County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23350 Iron County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23360 Isabella County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23370 Jackson County, Michigan 3520 Urban 0.9304 27100 Urban 0.9304
23380 Kalamazoo County, Michigan 3720 Urban 1.0143 28020 Urban 1.0381
23390 Kalkaska County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23400 Kent County, Michigan 3000 Urban 0.9445 24340 Urban 0.9390
23410 Keweenaw County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23420 Lake County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23430 Lapeer County, Michigan 2160 Urban 1.0147 47644 Urban 0.9871
23440 Leelanau County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23450 Lenawee County, Michigan 0440 Urban 1.0707 99923 Rural 0.8895
23460 Livingston County, Michigan 0440 Urban 1.0707 47644 Urban 0.9871
23470 Luce County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23480 Mackinac County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23490 Macomb County, Michigan 2160 Urban 1.0147 47644 Urban 0.9871
23500 Manistee County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23510 Marquette County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23520 Mason County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23530 Mecosta County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23540 Menominee County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23550 Midland County, Michigan 6960 Urban 0.9241 99923 Rural 0.8895
23560 Missaukee County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23570 Monroe County, Michigan 2160 Urban 1.0147 33780 Urban 0.9468
23580 Montcalm County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23590 Montmorency County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23600 Muskegon County, Michigan 3000 Urban 0.9445 34740 Urban 0.9664
23610 Newaygo County, Michigan 23 Rural 0.8824 24340 Urban 0.9390
23620 Oakland County, Michigan 2160 Urban 1.0147 47644 Urban 0.9871
23630 Oceana County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23640 Ogemaw County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23650 Ontonagon County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23660 Osceola County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23670 Oscoda County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23680 Otsego County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23690 Ottawa County, Michigan 3000 Urban 0.9445 26100 Urban 0.9055
23700 Presque Isle County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23710 Roscommon County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23720 Saginaw County, Michigan 6960 Urban 0.9241 40980 Urban 0.9088
23730 St Clair County, Michigan 2160 Urban 1.0147 47644 Urban 0.9871
23740 St Joseph County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23750 Sanilac County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23760 Schoolcraft County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23770 Shiawassee County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23780 Tuscola County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
23790 Van Buren County, Michigan 3720 Urban 1.0143 28020 Urban 1.0381
23800 Washtenaw County, Michigan 0440 Urban 1.0707 11460 Urban 1.0859
23810 Wayne County, Michigan 2160 Urban 1.0147 19804 Urban 1.0424
23830 Wexford County, Michigan 23 Rural 0.8824 99923 Rural 0.8895
24000 Aitkin County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24010 Anoka County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24020 Becker County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24030 Beltrami County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24040 Benton County, Minnesota 6980 Urban 0.9965 41060 Urban 0.9965
24050 Big Stone County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24060 Blue Earth County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24070 Brown County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24080 Carlton County, Minnesota 24 Rural 0.9132 20260 Urban 1.0213
24090 Carver County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24100 Cass County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24110 Chippewa County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24120 Chisago County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24130 Clay County, Minnesota 2520 Urban 0.8486 22020 Urban 0.8486
24140 Clearwater County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24150 Cook County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24160 Cottonwood County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24170 Crow Wing County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24180 Dakota County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24190 Dodge County, Minnesota 24 Rural 0.9132 40340 Urban 1.1131
24200 Douglas County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24210 Faribault County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24220 Fillmore County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24230 Freeborn County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24240 Goodhue County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24250 Grant County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24260 Hennepin County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24270 Houston County, Minnesota 3870 Urban 0.9564 29100 Urban 0.9564
24280 Hubbard County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24290 Isanti County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24300 Itasca County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24310 Jackson County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24320 Kanabec County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24330 Kandiyohi County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24340 Kittson County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24350 Koochiching County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24360 Lac Qui Parle County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24370 Lake County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24380 Lake Of Woods County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24390 Le Sueur County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24400 Lincoln County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24410 Lyon County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24420 Mc Leod County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24430 Mahnomen County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24440 Marshall County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24450 Martin County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24460 Meeker County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24470 Mille Lacs County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24480 Morrison County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24490 Mower County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24500 Murray County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24510 Nicollet County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24520 Nobles County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24530 Norman County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24540 Olmsted County, Minnesota 6820 Urban 1.1131 40340 Urban 1.1131
24550 Otter Tail County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24560 Pennington County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24570 Pine County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24580 Pipestone County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24590 Polk County, Minnesota 2985 Urban 0.7901 24220 Urban 0.7901
24600 Pope County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24610 Ramsey County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24620 Red Lake County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24630 Redwood County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24640 Renville County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24650 Rice County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24660 Rock County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24670 Roseau County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24680 St Louis County, Minnesota 2240 Urban 1.0213 20260 Urban 1.0213
24690 Scott County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24700 Sherburne County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24710 Sibley County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24720 Stearns County, Minnesota 6980 Urban 0.9965 41060 Urban 0.9965
24730 Steele County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24740 Stevens County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24750 Swift County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24760 Todd County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24770 Traverse County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24780 Wabasha County, Minnesota 24 Rural 0.9132 40340 Urban 1.1131
24790 Wadena County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24800 Waseca County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24810 Washington County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24820 Watonwan County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24830 Wilkin County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24840 Winona County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
24850 Wright County, Minnesota 5120 Urban 1.1075 33460 Urban 1.1075
24860 Yellow Medicine County, Minnesota 24 Rural 0.9132 99924 Rural 0.9132
25000 Adams County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25010 Alcorn County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25020 Amite County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25030 Attala County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25040 Benton County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25050 Bolivar County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25060 Calhoun County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25070 Carroll County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25080 Chickasaw County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25090 Choctaw County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25100 Claiborne County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25110 Clarke County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25120 Clay County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25130 Coahoma County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25140 Copiah County, Mississippi 25 Rural 0.7634 27140 Urban 0.8311
25150 Covington County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25160 Desoto County, Mississippi 4920 Urban 0.9416 32820 Urban 0.9397
25170 Forrest County, Mississippi 3285 Urban 0.7601 25620 Urban 0.7601
25180 Franklin County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25190 George County, Mississippi 25 Rural 0.7634 37700 Urban 0.8156
25200 Greene County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25210 Grenada County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25220 Hancock County, Mississippi 0920 Urban 0.8706 25060 Urban 0.8929
25230 Harrison County, Mississippi 0920 Urban 0.8706 25060 Urban 0.8929
25240 Hinds County, Mississippi 3560 Urban 0.8382 27140 Urban 0.8311
25250 Holmes County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25260 Humphreys County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25270 Issaquena County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25280 Itawamba County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25290 Jackson County, Mississippi 0920 Urban 0.8706 37700 Urban 0.8156
25300 Jasper County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25310 Jefferson County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25320 Jefferson Davis County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25330 Jones County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25340 Kemper County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25350 Lafayette County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25360 Lamar County, Mississippi 3285 Urban 0.7601 25620 Urban 0.7601
25370 Lauderdale County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25380 Lawrence County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25390 Leake County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25400 Lee County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25410 Leflore County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25420 Lincoln County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25430 Lowndes County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25440 Madison County, Mississippi 3560 Urban 0.8382 27140 Urban 0.8311
25450 Marion County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25460 Marshall County, Mississippi 25 Rural 0.7634 32820 Urban 0.9397
25470 Monroe County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25480 Montgomery County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25490 Neshoba County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25500 Newton County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25510 Noxubee County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25520 Oktibbeha County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25530 Panola County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25540 Pearl River County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25550 Perry County, Mississippi 25 Rural 0.7634 25620 Urban 0.7601
25560 Pike County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25570 Pontotoc County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25580 Prentiss County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25590 Quitman County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25600 Rankin County, Mississippi 3560 Urban 0.8382 27140 Urban 0.8311
25610 Scott County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25620 Sharkey County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25630 Simpson County, Mississippi 25 Rural 0.7634 27140 Urban 0.8311
25640 Smith County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25650 Stone County, Mississippi 25 Rural 0.7634 25060 Urban 0.8929
25660 Sunflower County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25670 Tallahatchie County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25680 Tate County, Mississippi 25 Rural 0.7634 32820 Urban 0.9397
25690 Tippah County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25700 Tishomingo County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25710 Tunica County, Mississippi 25 Rural 0.7634 32820 Urban 0.9397
25720 Union County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25730 Walthall County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25740 Warren County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25750 Washington County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25760 Wayne County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25770 Webster County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25780 Wilkinson County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25790 Winston County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25800 Yalobusha County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
25810 Yazoo County, Mississippi 25 Rural 0.7634 99925 Rural 0.7674
26000 Adair County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26010 Andrew County, Missouri 7000 Urban 0.9519 41140 Urban 0.9519
26020 Atchison County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26030 Audrain County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26040 Barry County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26050 Barton County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26060 Bates County, Missouri 26 Rural 0.7959 28140 Urban 0.9476
26070 Benton County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26080 Bollinger County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26090 Boone County, Missouri 1740 Urban 0.8345 17860 Urban 0.8345
26100 Buchanan County, Missouri 7000 Urban 0.9519 41140 Urban 0.9519
26110 Butler County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26120 Caldwell County, Missouri 26 Rural 0.7959 28140 Urban 0.9476
26130 Callaway County, Missouri 26 Rural 0.7959 27620 Urban 0.8387
26140 Camden County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26150 Cape Girardeau County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26160 Carroll County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26170 Carter County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26180 Cass County, Missouri 3760 Urban 0.9490 28140 Urban 0.9476
26190 Cedar County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26200 Chariton County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26210 Christian County, Missouri 7920 Urban 0.8250 44180 Urban 0.8237
26220 Clark County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26230 Clay County, Missouri 3760 Urban 0.9490 28140 Urban 0.9476
26240 Clinton County, Missouri 3760 Urban 0.9490 28140 Urban 0.9476
26250 Cole County, Missouri 26 Rural 0.7959 27620 Urban 0.8387
26260 Cooper County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26270 Crawford County, Missouri 26 Rural 0.7959 41180 Urban 0.8954
26280 Dade County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26290 Dallas County, Missouri 26 Rural 0.7959 44180 Urban 0.8237
26300 Daviess County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26310 De Kalb County, Missouri 26 Rural 0.7959 41140 Urban 0.9519
26320 Dent County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26330 Douglas County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26340 Dunklin County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26350 Franklin County, Missouri 7040 Urban 0.8962 41180 Urban 0.8954
26360 Gasconade County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26370 Gentry County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26380 Greene County, Missouri 7920 Urban 0.8250 44180 Urban 0.8237
26390 Grundy County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26400 Harrison County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26410 Henry County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26411 Hickory County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26412 Holt County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26440 Howard County, Missouri 26 Rural 0.7959 17860 Urban 0.8345
26450 Howell County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26460 Iron County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26470 Jackson County, Missouri 3760 Urban 0.9490 28140 Urban 0.9476
26480 Jasper County, Missouri 3710 Urban 0.8582 27900 Urban 0.8582
26490 Jefferson County, Missouri 7040 Urban 0.8962 41180 Urban 0.8954
26500 Johnson County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26510 Knox County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26520 Laclede County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26530 Lafayette County, Missouri 3760 Urban 0.9490 28140 Urban 0.9476
26540 Lawrence County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26541 Lewis County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26560 Lincoln County, Missouri 7040 Urban 0.8962 41180 Urban 0.8954
26570 Linn County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26580 Livingston County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26590 Mc Donald County, Missouri 26 Rural 0.7959 22220 Urban 0.8661
26600 Macon County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26601 Madison County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26620 Maries County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26630 Marion County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26631 Mercer County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26650 Miller County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26660 Mississippi County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26670 Moniteau County, Missouri 26 Rural 0.7959 27620 Urban 0.8387
26680 Monroe County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26690 Montgomery County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26700 Morgan County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26710 New Madrid County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26720 Newton County, Missouri 3710 Urban 0.8582 27900 Urban 0.8582
26730 Nodaway County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26740 Oregon County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26750 Osage County, Missouri 26 Rural 0.7959 27620 Urban 0.8387
26751 Ozark County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26770 Pemiscot County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26780 Perry County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26790 Pettis County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26800 Phelps County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26810 Pike County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26820 Platte County, Missouri 3760 Urban 0.9490 28140 Urban 0.9476
26821 Polk County, Missouri 26 Rural 0.7959 44180 Urban 0.8237
26840 Pulaski County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26850 Putnam County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26860 Ralls County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26870 Randolph County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26880 Ray County, Missouri 3760 Urban 0.9490 28140 Urban 0.9476
26881 Reynolds County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26900 Ripley County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26910 St Charles County, Missouri 7040 Urban 0.8962 41180 Urban 0.8954
26911 St Clair County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26930 St Francois County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26940 St Louis County, Missouri 7040 Urban 0.8962 41180 Urban 0.8954
26950 St Louis City County, Missouri 7040 Urban 0.8962 41180 Urban 0.8954
26960 Ste Genevieve County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26970 Saline County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26980 Schuyler County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26981 Scotland County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26982 Scott County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26983 Shannon County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26984 Shelby County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26985 Stoddard County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26986 Stone County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26987 Sullivan County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26988 Taney County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26989 Texas County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26990 Vernon County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26991 Warren County, Missouri 7040 Urban 0.8962 41180 Urban 0.8954
26992 Washington County, Missouri 26 Rural 0.7959 41180 Urban 0.8954
26993 Wayne County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26994 Webster County, Missouri 7920 Urban 0.8250 44180 Urban 0.8237
26995 Worth County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
26996 Wright County, Missouri 26 Rural 0.7959 99926 Rural 0.7900
27000 Beaverhead County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27010 Big Horn County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27020 Blaine County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27030 Broadwater County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27040 Carbon County, Montana 27 Rural 0.8762 13740 Urban 0.8834
27050 Carter County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27060 Cascade County, Montana 3040 Urban 0.9052 24500 Urban 0.9052
27070 Chouteau County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27080 Custer County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27090 Daniels County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27100 Dawson County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27110 Deer Lodge County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27113 Yellowstone National Park, Montana 27 Rural 0.8762 99927 Rural 0.8762
27120 Fallon County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27130 Fergus County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27140 Flathead County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27150 Gallatin County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27160 Garfield County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27170 Glacier County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27180 Golden Valley County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27190 Granite County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27200 Hill County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27210 Jefferson County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27220 Judith Basin County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27230 Lake County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27240 Lewis And Clark County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27250 Liberty County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27260 Lincoln County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27270 Mc Cone County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27280 Madison County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27290 Meagher County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27300 Mineral County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27310 Missoula County, Montana 5140 Urban 0.9473 33540 Urban 0.9473
27320 Musselshell County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27330 Park County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27340 Petroleum County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27350 Phillips County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27360 Pondera County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27370 Powder River County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27380 Powell County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27390 Prairie County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27400 Ravalli County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27410 Richland County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27420 Roosevelt County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27430 Rosebud County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27440 Sanders County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27450 Sheridan County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27460 Silver Bow County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27470 Stillwater County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27480 Sweet Grass County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27490 Teton County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27500 Toole County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27510 Treasure County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27520 Valley County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27530 Wheatland County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27540 Wibaux County, Montana 27 Rural 0.8762 99927 Rural 0.8762
27550 Yellowstone County, Montana 0880 Urban 0.8834 13740 Urban 0.8834
28000 Adams County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28010 Antelope County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28020 Arthur County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28030 Banner County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28040 Blaine County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28050 Boone County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28060 Box Butte County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28070 Boyd County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28080 Brown County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28090 Buffalo County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28100 Burt County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28110 Butler County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28120 Cass County, Nebraska 5920 Urban 0.9560 36540 Urban 0.9560
28130 Cedar County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28140 Chase County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28150 Cherry County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28160 Cheyenne County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28170 Clay County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28180 Colfax County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28190 Cuming County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28200 Custer County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28210 Dakota County, Nebraska 7720 Urban 0.9416 43580 Urban 0.9381
28220 Dawes County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28230 Dawson County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28240 Deuel County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28250 Dixon County, Nebraska 28 Rural 0.8657 43580 Urban 0.9381
28260 Dodge County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28270 Douglas County, Nebraska 5920 Urban 0.9560 36540 Urban 0.9560
28280 Dundy County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28290 Fillmore County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28300 Franklin County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28310 Frontier County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28320 Furnas County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28330 Gage County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28340 Garden County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28350 Garfield County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28360 Gosper County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28370 Grant County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28380 Greeley County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28390 Hall County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28400 Hamilton County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28410 Harlan County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28420 Hayes County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28430 Hitchcock County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28440 Holt County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28450 Hooker County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28460 Howard County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28470 Jefferson County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28480 Johnson County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28490 Kearney County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28500 Keith County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28510 Keya Paha County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28520 Kimball County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28530 Knox County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28540 Lancaster County, Nebraska 4360 Urban 1.0214 30700 Urban 1.0214
28550 Lincoln County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28560 Logan County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28570 Loup County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28580 Mc Pherson County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28590 Madison County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28600 Merrick County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28610 Morrill County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28620 Nance County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28630 Nemaha County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28640 Nuckolls County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28650 Otoe County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28660 Pawnee County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28670 Perkins County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28680 Phelps County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28690 Pierce County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28700 Platte County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28710 Polk County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28720 Redwillow County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28730 Richardson County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28740 Rock County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28750 Saline County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28760 Sarpy County, Nebraska 5920 Urban 0.9560 36540 Urban 0.9560
28770 Saunders County, Nebraska 28 Rural 0.8657 36540 Urban 0.9560
28780 Scotts Bluff County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28790 Seward County, Nebraska 28 Rural 0.8657 30700 Urban 1.0214
28800 Sheridan County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28810 Sherman County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28820 Sioux County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28830 Stanton County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28840 Thayer County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28850 Thomas County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28860 Thurston County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28870 Valley County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28880 Washington County, Nebraska 5920 Urban 0.9560 36540 Urban 0.9560
28890 Wayne County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28900 Webster County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28910 Wheeler County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
28920 York County, Nebraska 28 Rural 0.8657 99928 Rural 0.8657
29000 Churchill County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29010 Clark County, Nevada 4120 Urban 1.1155 29820 Urban 1.1437
29020 Douglas County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29030 Elko County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29040 Esmeralda County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29050 Eureka County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29060 Humboldt County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29070 Lander County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29080 Lincoln County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29090 Lyon County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29100 Mineral County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29110 Nye County, Nevada 4120 Urban 1.1155 99929 Rural 0.9065
29120 Carson City County, Nevada 29 Rural 0.9687 16180 Urban 1.0234
29130 Pershing County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
29140 Storey County, Nevada 29 Rural 0.9687 39900 Urban 1.0982
29150 Washoe County, Nevada 6720 Urban 1.0982 39900 Urban 1.0982
29160 White Pine County, Nevada 29 Rural 0.9687 99929 Rural 0.9065
30000 Belknap County, New Hampshire 30 Rural 1.0817 99930 Rural 1.0817
30010 Carroll County, New Hampshire 30 Rural 1.0817 99930 Rural 1.0817
30020 Cheshire County, New Hampshire 30 Rural 1.0817 99930 Rural 1.0817
30030 Coos County, New Hampshire 30 Rural 1.0817 99930 Rural 1.0817
30040 Grafton County, New Hampshire 30 Rural 1.0817 99930 Rural 1.0817
30050 Hillsboro County, New Hampshire 1123 Urban 1.1178 31700 Urban 1.0354
30060 Merrimack County, New Hampshire 1123 Urban 1.1178 31700 Urban 1.0354
30070 Rockingham County, New Hampshire 1123 Urban 1.1178 40484 Urban 1.0374
30080 Strafford County, New Hampshire 1123 Urban 1.1178 40484 Urban 1.0374
30090 Sullivan County, New Hampshire 30 Rural 1.0817 99930 Rural 1.0817
31000 Atlantic County, New Jersey 0560 Urban 1.1496 12100 Urban 1.1615
31100 Bergen County, New Jersey 0875 Urban 1.1651 35644 Urban 1.3188
31150 Burlington County, New Jersey 6160 Urban 1.0922 15804 Urban 1.0517
31160 Camden County, New Jersey 6160 Urban 1.0922 15804 Urban 1.0517
31180 Cape May County, New Jersey 0560 Urban 1.1496 36140 Urban 1.1011
31190 Cumberland County, New Jersey 8760 Urban 0.9827 47220 Urban 0.9827
31200 Essex County, New Jersey 5640 Urban 1.1834 35084 Urban 1.1883
31220 Gloucester County, New Jersey 6160 Urban 1.0922 15804 Urban 1.0517
31230 Hudson County, New Jersey 3640 Urban 1.1338 35644 Urban 1.3188
31250 Hunterdon County, New Jersey 5015 Urban 1.1167 35084 Urban 1.1883
31260 Mercer County, New Jersey 8480 Urban 1.0834 45940 Urban 1.0834
31270 Middlesex County, New Jersey 5015 Urban 1.1167 20764 Urban 1.1249
31290 Monmouth County, New Jersey 5190 Urban 1.1260 20764 Urban 1.1249
31300 Morris County, New Jersey 5640 Urban 1.1834 35084 Urban 1.1883
31310 Ocean County, New Jersey 5190 Urban 1.1260 20764 Urban 1.1249
31320 Passaic County, New Jersey 0875 Urban 1.1651 35644 Urban 1.3188
31340 Salem County, New Jersey 6160 Urban 1.0922 48864 Urban 1.0471
31350 Somerset County, New Jersey 5015 Urban 1.1167 20764 Urban 1.1249
31360 Sussex County, New Jersey 5640 Urban 1.1834 35084 Urban 1.1883
31370 Union County, New Jersey 5640 Urban 1.1834 35084 Urban 1.1883
31390 Warren County, New Jersey 5640 Urban 1.1834 10900 Urban 0.9818
32000 Bernalillo County, New Mexico 0200 Urban 0.9684 10740 Urban 0.9684
32010 Catron County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32020 Chaves County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32025 Cibola County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32030 Colfax County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32040 Curry County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32050 De Baca County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32060 Dona Ana County, New Mexico 4100 Urban 0.8467 29740 Urban 0.8467
32070 Eddy County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32080 Grant County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32090 Guadalupe County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32100 Harding County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32110 Hidalgo County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32120 Lea County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32130 Lincoln County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32131 Los Alamos County, New Mexico 7490 Urban 1.0748 99932 Rural 0.8635
32140 Luna County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32150 Mc Kinley County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32160 Mora County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32170 Otero County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32180 Quay County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32190 Rio Arriba County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32200 Roosevelt County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32210 Sandoval County, New Mexico 0200 Urban 0.9684 10740 Urban 0.9684
32220 San Juan County, New Mexico 32 Rural 0.8563 22140 Urban 0.8509
32230 San Miguel County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32240 Santa Fe County, New Mexico 7490 Urban 1.0748 42140 Urban 1.0920
32250 Sierra County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32260 Socorro County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32270 Taos County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32280 Torrance County, New Mexico 32 Rural 0.8563 10740 Urban 0.9684
32290 Union County, New Mexico 32 Rural 0.8563 99932 Rural 0.8635
32300 Valencia County, New Mexico 0200 Urban 0.9684 10740 Urban 0.9684
33000 Albany County, New York 0160 Urban 0.8559 10580 Urban 0.8589
33010 Allegany County, New York 33 Rural 0.8395 99933 Rural 0.8154
33020 Bronx County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33030 Broome County, New York 0960 Urban 0.8562 13780 Urban 0.8562
33040 Cattaraugus County, New York 33 Rural 0.8395 99933 Rural 0.8154
33050 Cayuga County, New York 8160 Urban 0.9492 99933 Rural 0.8154
33060 Chautauqua County, New York 3610 Urban 0.7544 99933 Rural 0.8154
33070 Chemung County, New York 2335 Urban 0.8250 21300 Urban 0.8250
33080 Chenango County, New York 33 Rural 0.8395 99933 Rural 0.8154
33090 Clinton County, New York 33 Rural 0.8395 99933 Rural 0.8154
33200 Columbia County, New York 33 Rural 0.8395 99933 Rural 0.8154
33210 Cortland County, New York 33 Rural 0.8395 99933 Rural 0.8154
33220 Delaware County, New York 33 Rural 0.8395 99933 Rural 0.8154
33230 Dutchess County, New York 2281 Urban 1.0475 39100 Urban 1.0891
33240 Erie County, New York 1280 Urban 0.9511 15380 Urban 0.9511
33260 Essex County, New York 33 Rural 0.8395 99933 Rural 0.8154
33270 Franklin County, New York 33 Rural 0.8395 99933 Rural 0.8154
33280 Fulton County, New York 33 Rural 0.8395 99933 Rural 0.8154
33290 Genesee County, New York 6840 Urban 0.9049 99933 Rural 0.8154
33300 Greene County, New York 33 Rural 0.8395 99933 Rural 0.8154
33310 Hamilton County, New York 33 Rural 0.8395 99933 Rural 0.8154
33320 Herkimer County, New York 8680 Urban 0.8358 46540 Urban 0.8358
33330 Jefferson County, New York 33 Rural 0.8395 99933 Rural 0.8154
33331 Kings County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33340 Lewis County, New York 33 Rural 0.8395 99933 Rural 0.8154
33350 Livingston County, New York 6840 Urban 0.9049 40380 Urban 0.9121
33360 Madison County, New York 8160 Urban 0.9492 45060 Urban 0.9574
33370 Monroe County, New York 6840 Urban 0.9049 40380 Urban 0.9121
33380 Montgomery County, New York 0160 Urban 0.8559 99933 Rural 0.8154
33400 Nassau County, New York 5380 Urban 1.2719 35004 Urban 1.2719
33420 New York County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33500 Niagara County, New York 1280 Urban 0.9511 15380 Urban 0.9511
33510 Oneida County, New York 8680 Urban 0.8358 46540 Urban 0.8358
33520 Onondaga County, New York 8160 Urban 0.9492 45060 Urban 0.9574
33530 Ontario County, New York 6840 Urban 0.9049 40380 Urban 0.9121
33540 Orange County, New York 5660 Urban 1.1207 39100 Urban 1.0891
33550 Orleans County, New York 6840 Urban 0.9049 40380 Urban 0.9121
33560 Oswego County, New York 8160 Urban 0.9492 45060 Urban 0.9574
33570 Otsego County, New York 33 Rural 0.8395 99933 Rural 0.8154
33580 Putnam County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33590 Queens County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33600 Rensselaer County, New York 0160 Urban 0.8559 10580 Urban 0.8589
33610 Richmond County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33620 Rockland County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33630 St Lawrence County, New York 33 Rural 0.8395 99933 Rural 0.8154
33640 Saratoga County, New York 0160 Urban 0.8559 10580 Urban 0.8589
33650 Schenectady County, New York 0160 Urban 0.8559 10580 Urban 0.8589
33660 Schoharie County, New York 0160 Urban 0.8559 10580 Urban 0.8589
33670 Schuyler County, New York 33 Rural 0.8395 99933 Rural 0.8154
33680 Seneca County, New York 33 Rural 0.8395 99933 Rural 0.8154
33690 Steuben County, New York 33 Rural 0.8395 99933 Rural 0.8154
33700 Suffolk County, New York 5380 Urban 1.2719 35004 Urban 1.2719
33710 Sullivan County, New York 33 Rural 0.8395 99933 Rural 0.8154
33720 Tioga County, New York 0960 Urban 0.8562 13780 Urban 0.8562
33730 Tompkins County, New York 33 Rural 0.8395 27060 Urban 0.9793
33740 Ulster County, New York 33 Rural 0.8395 28740 Urban 0.9255
33750 Warren County, New York 2975 Urban 0.8559 24020 Urban 0.8559
33760 Washington County, New York 2975 Urban 0.8559 24020 Urban 0.8559
33770 Wayne County, New York 6840 Urban 0.9049 40380 Urban 0.9121
33800 Westchester County, New York 5600 Urban 1.3464 35644 Urban 1.3188
33900 Wyoming County, New York 33 Rural 0.8395 99933 Rural 0.8154
33910 Yates County, New York 33 Rural 0.8395 99933 Rural 0.8154
34000 Alamance County, N Carolina 3120 Urban 0.9018 15500 Urban 0.8905
34010 Alexander County, N Carolina 3290 Urban 0.8921 25860 Urban 0.8921
34020 Alleghany County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34030 Anson County, N Carolina 34 Rural 0.8462 16740 Urban 0.9750
34040 Ashe County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34050 Avery County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34060 Beaufort County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34070 Bertie County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34080 Bladen County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34090 Brunswick County, N Carolina 9200 Urban 0.9582 48900 Urban 0.9582
34100 Buncombe County, N Carolina 0480 Urban 0.9737 11700 Urban 0.9285
34110 Burke County, N Carolina 3290 Urban 0.8921 25860 Urban 0.8921
34120 Cabarrus County, N Carolina 1520 Urban 0.9715 16740 Urban 0.9750
34130 Caldwell County, N Carolina 3290 Urban 0.8921 25860 Urban 0.8921
34140 Camden County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34150 Carteret County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34160 Caswell County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34170 Catawba County, N Carolina 3290 Urban 0.8921 25860 Urban 0.8921
34180 Chatham County, N Carolina 6640 Urban 1.0034 20500 Urban 1.0244
34190 Cherokee County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34200 Chowan County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34210 Clay County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34220 Cleveland County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34230 Columbus County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34240 Craven County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34250 Cumberland County, N Carolina 2560 Urban 0.9416 22180 Urban 0.9416
34251 Currituck County, N Carolina 5720 Urban 0.8799 47260 Urban 0.8799
34270 Dare County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34280 Davidson County, N Carolina 3120 Urban 0.9018 99934 Rural 0.8540
34290 Davie County, N Carolina 3120 Urban 0.9018 49180 Urban 0.8944
34300 Duplin County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34310 Durham County, N Carolina 6640 Urban 1.0034 20500 Urban 1.0244
34320 Edgecombe County, N Carolina 6895 Urban 0.8915 40580 Urban 0.8915
34330 Forsyth County, N Carolina 3120 Urban 0.9018 49180 Urban 0.8944
34340 Franklin County, N Carolina 6640 Urban 1.0034 39580 Urban 0.9691
34350 Gaston County, N Carolina 1520 Urban 0.9715 16740 Urban 0.9750
34360 Gates County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34370 Graham County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34380 Granville County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34390 Greene County, N Carolina 34 Rural 0.8462 24780 Urban 0.9425
34400 Guilford County, N Carolina 3120 Urban 0.9018 24660 Urban 0.9104
34410 Halifax County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34420 Harnett County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34430 Haywood County, N Carolina 34 Rural 0.8462 11700 Urban 0.9285
34440 Henderson County, N Carolina 34 Rural 0.8462 11700 Urban 0.9285
34450 Hertford County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34460 Hoke County, N Carolina 34 Rural 0.8462 22180 Urban 0.9416
34470 Hyde County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34480 Iredell County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34490 Jackson County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34500 Johnston County, N Carolina 6640 Urban 1.0034 39580 Urban 0.9691
34510 Jones County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34520 Lee County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34530 Lenoir County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34540 Lincoln County, N Carolina 1520 Urban 0.9715 99934 Rural 0.8540
34550 Mc Dowell County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34560 Macon County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34570 Madison County, N Carolina 0480 Urban 0.9737 11700 Urban 0.9285
34580 Martin County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34590 Mecklenburg County, N Carolina 1520 Urban 0.9715 16740 Urban 0.9750
34600 Mitchell County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34610 Montgomery County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34620 Moore County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34630 Nash County, N Carolina 6895 Urban 0.8915 40580 Urban 0.8915
34640 New Hanover County, N Carolina 9200 Urban 0.9582 48900 Urban 0.9582
34650 Northampton County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34660 Onslow County, N Carolina 3605 Urban 0.8236 27340 Urban 0.8236
34670 Orange County, N Carolina 6640 Urban 1.0034 20500 Urban 1.0244
34680 Pamlico County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34690 Pasquotank County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34700 Pender County, N Carolina 34 Rural 0.8462 48900 Urban 0.9582
34710 Perquimans County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34720 Person County, N Carolina 34 Rural 0.8462 20500 Urban 1.0244
34730 Pitt County, N Carolina 3150 Urban 0.9425 24780 Urban 0.9425
34740 Polk County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34750 Randolph County, N Carolina 3120 Urban 0.9018 24660 Urban 0.9104
34760 Richmond County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34770 Robeson County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34780 Rockingham County, N Carolina 34 Rural 0.8462 24660 Urban 0.9104
34790 Rowan County, N Carolina 1520 Urban 0.9715 99934 Rural 0.8540
34800 Rutherford County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34810 Sampson County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34820 Scotland County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34830 Stanly County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34840 Stokes County, N Carolina 3120 Urban 0.9018 49180 Urban 0.8944
34850 Surry County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34860 Swain County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34870 Transylvania County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34880 Tyrrell County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34890 Union County, N Carolina 1520 Urban 0.9715 16740 Urban 0.9750
34900 Vance County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34910 Wake County, N Carolina 6640 Urban 1.0034 39580 Urban 0.9691
34920 Warren County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34930 Washington County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34940 Watauga County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34950 Wayne County, N Carolina 2980 Urban 0.8775 24140 Urban 0.8775
34960 Wilkes County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34970 Wilson County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
34980 Yadkin County, N Carolina 3120 Urban 0.9018 49180 Urban 0.8944
34981 Yancey County, N Carolina 34 Rural 0.8462 99934 Rural 0.8540
35000 Adams County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35010 Barnes County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35020 Benson County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35030 Billings County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35040 Bottineau County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35050 Bowman County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35060 Burke County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35070 Burleigh County, N Dakota 1010 Urban 0.7574 13900 Urban 0.7574
35080 Cass County, N Dakota 2520 Urban 0.8486 22020 Urban 0.8486
35090 Cavalier County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35100 Dickey County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35110 Divide County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35120 Dunn County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35130 Eddy County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35140 Emmons County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35150 Foster County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35160 Golden Valley County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35170 Grand Forks County, N Dakota 2985 Urban 0.7901 24220 Urban 0.7901
35180 Grant County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35190 Griggs County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35200 Hettinger County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35210 Kidder County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35220 La Moure County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35230 Logan County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35240 Mc Henry County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35250 Mc Intosh County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35260 Mc Kenzie County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35270 Mc Lean County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35280 Mercer County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35290 Morton County, N Dakota 1010 Urban 0.7574 13900 Urban 0.7574
35300 Mountrail County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35310 Nelson County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35320 Oliver County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35330 Pembina County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35340 Pierce County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35350 Ramsey County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35360 Ransom County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35370 Renville County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35380 Richland County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35390 Rolette County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35400 Sargent County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35410 Sheridan County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35420 Sioux County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35430 Slope County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35440 Stark County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35450 Steele County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35460 Stutsman County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35470 Towner County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35480 Traill County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35490 Walsh County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35500 Ward County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35510 Wells County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
35520 Williams County, N Dakota 35 Rural 0.7261 99935 Rural 0.7261
36000 Adams County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36010 Allen County, Ohio 4320 Urban 0.9119 30620 Urban 0.9225
36020 Ashland County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36030 Ashtabula County, Ohio 1680 Urban 0.9183 99936 Rural 0.8826
36040 Athens County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36050 Auglaize County, Ohio 4320 Urban 0.9119 99936 Rural 0.8826
36060 Belmont County, Ohio 9000 Urban 0.7161 48540 Urban 0.7161
36070 Brown County, Ohio 1640 Urban 0.9734 17140 Urban 0.9615
36080 Butler County, Ohio 3200 Urban 0.8951 17140 Urban 0.9615
36090 Carroll County, Ohio 1320 Urban 0.8935 15940 Urban 0.8935
36100 Champaign County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36110 Clark County, Ohio 2000 Urban 0.8980 44220 Urban 0.8396
36120 Clermont County, Ohio 1640 Urban 0.9734 17140 Urban 0.9615
36130 Clinton County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36140 Columbiana County, Ohio 9320 Urban 0.8848 99936 Rural 0.8826
36150 Coshocton County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36160 Crawford County, Ohio 4800 Urban 0.9891 99936 Rural 0.8826
36170 Cuyahoga County, Ohio 1680 Urban 0.9183 17460 Urban 0.9213
36190 Darke County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36200 Defiance County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36210 Delaware County, Ohio 1840 Urban 0.9874 18140 Urban 0.9860
36220 Erie County, Ohio 36 Rural 0.8921 41780 Urban 0.9019
36230 Fairfield County, Ohio 1840 Urban 0.9874 18140 Urban 0.9860
36240 Fayette County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36250 Franklin County, Ohio 1840 Urban 0.9874 18140 Urban 0.9860
36260 Fulton County, Ohio 8400 Urban 0.9574 45780 Urban 0.9574
36270 Gallia County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36280 Geauga County, Ohio 1680 Urban 0.9183 17460 Urban 0.9213
36290 Greene County, Ohio 2000 Urban 0.8980 19380 Urban 0.9064
36300 Guernsey County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36310 Hamilton County, Ohio 1640 Urban 0.9734 17140 Urban 0.9615
36330 Hancock County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36340 Hardin County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36350 Harrison County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36360 Henry County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36370 Highland County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36380 Hocking County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36390 Holmes County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36400 Huron County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36410 Jackson County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36420 Jefferson County, Ohio 8080 Urban 0.7819 48260 Urban 0.7819
36430 Knox County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36440 Lake County, Ohio 1680 Urban 0.9183 17460 Urban 0.9213
36450 Lawrence County, Ohio 3400 Urban 0.9477 26580 Urban 0.9477
36460 Licking County, Ohio 1840 Urban 0.9874 18140 Urban 0.9860
36470 Logan County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36480 Lorain County, Ohio 1680 Urban 0.9183 17460 Urban 0.9213
36490 Lucas County, Ohio 8400 Urban 0.9574 45780 Urban 0.9574
36500 Madison County, Ohio 1840 Urban 0.9874 18140 Urban 0.9860
36510 Mahoning County, Ohio 9320 Urban 0.8848 49660 Urban 0.8603
36520 Marion County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36530 Medina County, Ohio 1680 Urban 0.9183 17460 Urban 0.9213
36540 Meigs County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36550 Mercer County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36560 Miami County, Ohio 2000 Urban 0.8980 19380 Urban 0.9064
36570 Monroe County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36580 Montgomery County, Ohio 2000 Urban 0.8980 19380 Urban 0.9064
36590 Morgan County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36600 Morrow County, Ohio 36 Rural 0.8921 18140 Urban 0.9860
36610 Muskingum County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36620 Noble County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36630 Ottawa County, Ohio 36 Rural 0.8921 45780 Urban 0.9574
36640 Paulding County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36650 Perry County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36660 Pickaway County, Ohio 1840 Urban 0.9874 18140 Urban 0.9860
36670 Pike County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36680 Portage County, Ohio 0080 Urban 0.8982 10420 Urban 0.8982
36690 Preble County, Ohio 36 Rural 0.8921 19380 Urban 0.9064
36700 Putnam County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36710 Richland County, Ohio 4800 Urban 0.9891 31900 Urban 0.9891
36720 Ross County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36730 Sandusky County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36740 Scioto County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36750 Seneca County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36760 Shelby County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36770 Stark County, Ohio 1320 Urban 0.8935 15940 Urban 0.8935
36780 Summit County, Ohio 0080 Urban 0.8982 10420 Urban 0.8982
36790 Trumbull County, Ohio 9320 Urban 0.8848 49660 Urban 0.8603
36800 Tuscarawas County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36810 Union County, Ohio 36 Rural 0.8921 18140 Urban 0.9860
36820 Van Wert County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36830 Vinton County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36840 Warren County, Ohio 1640 Urban 0.9734 17140 Urban 0.9615
36850 Washington County, Ohio 6020 Urban 0.8270 37620 Urban 0.8270
36860 Wayne County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36870 Williams County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
36880 Wood County, Ohio 8400 Urban 0.9574 45780 Urban 0.9574
36890 Wyandot County, Ohio 36 Rural 0.8921 99936 Rural 0.8826
37000 Adair County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37010 Alfalfa County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37020 Atoka County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37030 Beaver County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37040 Beckham County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37050 Blaine County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37060 Bryan County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37070 Caddo County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37080 Canadian County, Oklahoma 5880 Urban 0.9025 36420 Urban 0.9031
37090 Carter County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37100 Cherokee County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37110 Choctaw County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37120 Cimarron County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37130 Cleveland County, Oklahoma 5880 Urban 0.9025 36420 Urban 0.9031
37140 Coal County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37150 Comanche County, Oklahoma 4200 Urban 0.7872 30020 Urban 0.7872
37160 Cotton County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37170 Craig County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37180 Creek County, Oklahoma 8560 Urban 0.8587 46140 Urban 0.8543
37190 Custer County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37200 Delaware County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37210 Dewey County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37220 Ellis County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37230 Garfield County, Oklahoma 2340 Urban 0.8666 99937 Rural 0.7581
37240 Garvin County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37250 Grady County, Oklahoma 37 Rural 0.7442 36420 Urban 0.9031
37260 Grant County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37270 Greer County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37280 Harmon County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37290 Harper County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37300 Haskell County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37310 Hughes County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37320 Jackson County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37330 Jefferson County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37340 Johnston County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37350 Kay County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37360 Kingfisher County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37370 Kiowa County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37380 Latimer County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37390 Le Flore County, Oklahoma 37 Rural 0.7442 22900 Urban 0.8230
37400 Lincoln County, Oklahoma 37 Rural 0.7442 36420 Urban 0.9031
37410 Logan County, Oklahoma 5880 Urban 0.9025 36420 Urban 0.9031
37420 Love County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37430 Mc Clain County, Oklahoma 5880 Urban 0.9025 36420 Urban 0.9031
37440 Mc Curtain County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37450 Mc Intosh County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37460 Major County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37470 Marshall County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37480 Mayes County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37490 Murray County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37500 Muskogee County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37510 Noble County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37520 Nowata County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37530 Okfuskee County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37540 Oklahoma County, Oklahoma 5880 Urban 0.9025 36420 Urban 0.9031
37550 Okmulgee County, Oklahoma 37 Rural 0.7442 46140 Urban 0.8543
37560 Osage County, Oklahoma 8560 Urban 0.8587 46140 Urban 0.8543
37570 Ottawa County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37580 Pawnee County, Oklahoma 37 Rural 0.7442 46140 Urban 0.8543
37590 Payne County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37600 Pittsburg County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37610 Pontotoc County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37620 Pottawatomie County, Oklahoma 5880 Urban 0.9025 99937 Rural 0.7581
37630 Pushmataha County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37640 Roger Mills County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37650 Rogers County, Oklahoma 8560 Urban 0.8587 46140 Urban 0.8543
37660 Seminole County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37670 Sequoyah County, Oklahoma 2720 Urban 0.8246 22900 Urban 0.8230
37680 Stephens County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37690 Texas County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37700 Tillman County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37710 Tulsa County, Oklahoma 8560 Urban 0.8587 46140 Urban 0.8543
37720 Wagoner County, Oklahoma 8560 Urban 0.8587 46140 Urban 0.8543
37730 Washington County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37740 Washita County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37750 Woods County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
37760 Woodward County, Oklahoma 37 Rural 0.7442 99937 Rural 0.7581
38000 Baker County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38010 Benton County, Oregon 1890 Urban 1.0729 18700 Urban 1.0729
38020 Clackamas County, Oregon 6440 Urban 1.1266 38900 Urban 1.1266
38030 Clatsop County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38040 Columbia County, Oregon 6440 Urban 1.1266 38900 Urban 1.1266
38050 Coos County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38060 Crook County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38070 Curry County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38080 Deschutes County, Oregon 38 Rural 1.0052 13460 Urban 1.0786
38090 Douglas County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38100 Gilliam County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38110 Grant County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38120 Harney County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38130 Hood River County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38140 Jackson County, Oregon 4890 Urban 1.0225 32780 Urban 1.0225
38150 Jefferson County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38160 Josephine County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38170 Klamath County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38180 Lake County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38190 Lane County, Oregon 2400 Urban 1.0818 21660 Urban 1.0818
38200 Lincoln County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38210 Linn County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38220 Malheur County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38230 Marion County, Oregon 7080 Urban 1.0442 41420 Urban 1.0442
38240 Morrow County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38250 Multnomah County, Oregon 6440 Urban 1.1266 38900 Urban 1.1266
38260 Polk County, Oregon 7080 Urban 1.0442 41420 Urban 1.0442
38270 Sherman County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38280 Tillamook County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38290 Umatilla County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38300 Union County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38310 Wallowa County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38320 Wasco County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38330 Washington County, Oregon 6440 Urban 1.1266 38900 Urban 1.1266
38340 Wheeler County, Oregon 38 Rural 1.0052 99938 Rural 0.9826
38350 Yamhill County, Oregon 6440 Urban 1.1266 38900 Urban 1.1266
39000 Adams County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39010 Allegheny County, Pennsylvania 6280 Urban 0.8860 38300 Urban 0.8845
39070 Armstrong County, Pennsylvania 39 Rural 0.8319 38300 Urban 0.8845
39080 Beaver County, Pennsylvania 6280 Urban 0.8860 38300 Urban 0.8845
39100 Bedford County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39110 Berks County, Pennsylvania 6680 Urban 0.9686 39740 Urban 0.9686
39120 Blair County, Pennsylvania 0280 Urban 0.8944 11020 Urban 0.8944
39130 Bradford County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39140 Bucks County, Pennsylvania 6160 Urban 1.0922 37964 Urban 1.1038
39150 Butler County, Pennsylvania 6280 Urban 0.8860 38300 Urban 0.8845
39160 Cambria County, Pennsylvania 3680 Urban 0.8086 27780 Urban 0.8354
39180 Cameron County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39190 Carbon County, Pennsylvania 0240 Urban 0.9845 10900 Urban 0.9818
39200 Centre County, Pennsylvania 8050 Urban 0.8356 44300 Urban 0.8356
39210 Chester County, Pennsylvania 6160 Urban 1.0922 37964 Urban 1.1038
39220 Clarion County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39230 Clearfield County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39240 Clinton County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39250 Columbia County, Pennsylvania 7560 Urban 0.8524 99939 Rural 0.8291
39260 Crawford County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39270 Cumberland County, Pennsylvania 3240 Urban 0.9233 25420 Urban 0.9313
39280 Dauphin County, Pennsylvania 3240 Urban 0.9233 25420 Urban 0.9313
39290 Delaware County, Pennsylvania 6160 Urban 1.0922 37964 Urban 1.1038
39310 Elk County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39320 Erie County, Pennsylvania 2360 Urban 0.8737 21500 Urban 0.8737
39330 Fayette County, Pennsylvania 6280 Urban 0.8860 38300 Urban 0.8845
39340 Forest County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39350 Franklin County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39360 Fulton County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39370 Greene County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39380 Huntingdon County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39390 Indiana County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39400 Jefferson County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39410 Juniata County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39420 Lackawanna County, Pennsylvania 7560 Urban 0.8524 42540 Urban 0.8540
39440 Lancaster County, Pennsylvania 4000 Urban 0.9694 29540 Urban 0.9694
39450 Lawrence County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39460 Lebanon County, Pennsylvania 3240 Urban 0.9233 30140 Urban 0.8459
39470 Lehigh County, Pennsylvania 0240 Urban 0.9845 10900 Urban 0.9818
39480 Luzerne County, Pennsylvania 7560 Urban 0.8524 42540 Urban 0.8540
39510 Lycoming County, Pennsylvania 9140 Urban 0.8364 48700 Urban 0.8364
39520 Mc Kean County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39530 Mercer County, Pennsylvania 7610 Urban 0.7793 49660 Urban 0.8603
39540 Mifflin County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39550 Monroe County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39560 Montgomery County, Pennsylvania 6160 Urban 1.0922 37964 Urban 1.1038
39580 Montour County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39590 Northampton County, Pennsylvania 0240 Urban 0.9845 10900 Urban 0.9818
39600 Northumberland County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39610 Perry County, Pennsylvania 3240 Urban 0.9233 25420 Urban 0.9313
39620 Philadelphia County, Pennsylvania 6160 Urban 1.0922 37964 Urban 1.1038
39630 Pike County, Pennsylvania 5660 Urban 1.1207 35084 Urban 1.1883
39640 Potter County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39650 Schuylkill County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39670 Snyder County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39680 Somerset County, Pennsylvania 3680 Urban 0.8086 99939 Rural 0.8291
39690 Sullivan County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39700 Susquehanna County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39710 Tioga County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39720 Union County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39730 Venango County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39740 Warren County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39750 Washington County, Pennsylvania 6280 Urban 0.8860 38300 Urban 0.8845
39760 Wayne County, Pennsylvania 39 Rural 0.8319 99939 Rural 0.8291
39770 Westmoreland County, Pennsylvania 6280 Urban 0.8860 38300 Urban 0.8845
39790 Wyoming County, Pennsylvania 7560 Urban 0.8524 42540 Urban 0.8540
39800 York County, Pennsylvania 9280 Urban 0.9347 49620 Urban 0.9347
40010 Adjuntas County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40020 Aguada County, Puerto Rico 0060 Urban 0.4876 10380 Urban 0.4738
40030 Aguadilla County, Puerto Rico 0060 Urban 0.4876 10380 Urban 0.4738
40040 Aguas Buenas County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40050 Aibonito County, Puerto Rico 40 Rural 0.3604 41980 Urban 0.4621
40060 Anasco County, Puerto Rico 4840 Urban 0.4243 10380 Urban 0.4738
40070 Arecibo County, Puerto Rico 0470 Urban 0.4112 41980 Urban 0.4621
40080 Arroyo County, Puerto Rico 40 Rural 0.3604 25020 Urban 0.3181
40090 Barceloneta County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40100 Barranquitas County, Puerto Rico 40 Rural 0.3604 41980 Urban 0.4621
40110 Bayamon County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40120 Cabo Rojo County, Puerto Rico 4840 Urban 0.4243 41900 Urban 0.4650
40130 Caguas County, Puerto Rico 1310 Urban 0.4120 41980 Urban 0.4621
40140 Camuy County, Puerto Rico 0470 Urban 0.4112 41980 Urban 0.4621
40145 Canovanas County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40150 Carolina County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40160 Catano County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40170 Cayey County, Puerto Rico 1310 Urban 0.4120 41980 Urban 0.4621
40180 Ceiba County, Puerto Rico 7440 Urban 0.4752 21940 Urban 0.4153
40190 Ciales County, Puerto Rico 40 Rural 0.3604 41980 Urban 0.4621
40200 Cidra County, Puerto Rico 1310 Urban 0.4120 41980 Urban 0.4621
40210 Coamo County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40220 Comerio County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40230 Corozal County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40240 Culebra County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40250 Dorado County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40260 Fajardo County, Puerto Rico 7440 Urban 0.4752 21940 Urban 0.4153
40265 Florida County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40270 Guanica County, Puerto Rico 40 Rural 0.3604 49500 Urban 0.4408
40280 Guayama County, Puerto Rico 40 Rural 0.3604 25020 Urban 0.3181
40290 Guayanilla County, Puerto Rico 6360 Urban 0.4881 49500 Urban 0.4408
40300 Guaynabo County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40310 Gurabo County, Puerto Rico 1310 Urban 0.4120 41980 Urban 0.4621
40320 Hatillo County, Puerto Rico 0470 Urban 0.4112 41980 Urban 0.4621
40330 Hormigueros County, Puerto Rico 4840 Urban 0.4243 32420 Urban 0.4020
40340 Humacao County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40350 Isabela County, Puerto Rico 40 Rural 0.3604 10380 Urban 0.4738
40360 Jayuya County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40370 Juana Diaz County, Puerto Rico 6360 Urban 0.4881 38660 Urban 0.4939
40380 Juncos County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40390 Lajas County, Puerto Rico 40 Rural 0.3604 41900 Urban 0.4650
40400 Lares County, Puerto Rico 40 Rural 0.3604 10380 Urban 0.4738
40410 Las Marias County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40420 Las Piedras County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40430 Loiza County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40440 Luquillo County, Puerto Rico 7440 Urban 0.4752 21940 Urban 0.4153
40450 Manati County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40460 Maricao County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40470 Maunabo County, Puerto Rico 40 Rural 0.3604 41980 Urban 0.4621
40480 Mayaguez County, Puerto Rico 4840 Urban 0.4243 32420 Urban 0.4020
40490 Moca County, Puerto Rico 0060 Urban 0.4876 10380 Urban 0.4738
40500 Morovis County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40510 Naguabo County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40520 Naranjito County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40530 Orocovis County, Puerto Rico 40 Rural 0.3604 41980 Urban 0.4621
40540 Patillas County, Puerto Rico 40 Rural 0.3604 25020 Urban 0.3181
40550 Penuelas County, Puerto Rico 6360 Urban 0.4881 49500 Urban 0.4408
40560 Ponce County, Puerto Rico 6360 Urban 0.4881 38660 Urban 0.4939
40570 Quebradillas County, Puerto Rico 40 Rural 0.3604 41980 Urban 0.4621
40580 Rincon County, Puerto Rico 40 Rural 0.3604 10380 Urban 0.4738
40590 Rio Grande County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40610 Sabana Grande County, Puerto Rico 4840 Urban 0.4243 41900 Urban 0.4650
40620 Salinas County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40630 San German County, Puerto Rico 4840 Urban 0.4243 41900 Urban 0.4650
40640 San Juan County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40650 San Lorenzo County, Puerto Rico 1310 Urban 0.4120 41980 Urban 0.4621
40660 San Sebastian County, Puerto Rico 40 Rural 0.3604 10380 Urban 0.4738
40670 Santa Isabel County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40680 Toa Alta County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40690 Toa Baja County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40700 Trujillo Alto County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40710 Utuado County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40720 Vega Alta County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40730 Vega Baja County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40740 Vieques County, Puerto Rico 40 Rural 0.3604 99940 Rural 0.4047
40750 Villalba County, Puerto Rico 6360 Urban 0.4881 38660 Urban 0.4939
40760 Yabucoa County, Puerto Rico 7440 Urban 0.4752 41980 Urban 0.4621
40770 Yauco County, Puerto Rico 6360 Urban 0.4881 49500 Urban 0.4408
41000 Bristol County, Rhode Island 6483 Urban 1.1058 39300 Urban 1.0966
41010 Kent County, Rhode Island 6483 Urban 1.1058 39300 Urban 1.0966
41020 Newport County, Rhode Island 6483 Urban 1.1058 39300 Urban 1.0966
41030 Providence County, Rhode Island 6483 Urban 1.1058 39300 Urban 1.0966
41050 Washington County, Rhode Island 6483 Urban 1.1058 39300 Urban 1.0966
42000 Abbeville County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42010 Aiken County, S Carolina 0600 Urban 0.9808 12260 Urban 0.9748
42020 Allendale County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42030 Anderson County, S Carolina 3160 Urban 0.9615 11340 Urban 0.8997
42040 Bamberg County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42050 Barnwell County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42060 Beaufort County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42070 Berkeley County, S Carolina 1440 Urban 0.9245 16700 Urban 0.9245
42080 Calhoun County, S Carolina 42 Rural 0.8631 17900 Urban 0.9057
42090 Charleston County, S Carolina 1440 Urban 0.9245 16700 Urban 0.9245
42100 Cherokee County, S Carolina 3160 Urban 0.9615 99942 Rural 0.8638
42110 Chester County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42120 Chesterfield County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42130 Clarendon County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42140 Colleton County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42150 Darlington County, S Carolina 42 Rural 0.8631 22500 Urban 0.8947
42160 Dillon County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42170 Dorchester County, S Carolina 1440 Urban 0.9245 16700 Urban 0.9245
42180 Edgefield County, S Carolina 0600 Urban 0.9808 12260 Urban 0.9748
42190 Fairfield County, S Carolina 42 Rural 0.8631 17900 Urban 0.9057
42200 Florence County, S Carolina 2655 Urban 0.9042 22500 Urban 0.8947
42210 Georgetown County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42220 Greenville County, S Carolina 3160 Urban 0.9615 24860 Urban 1.0027
42230 Greenwood County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42240 Hampton County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42250 Horry County, S Carolina 5330 Urban 0.8934 34820 Urban 0.8934
42260 Jasper County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42270 Kershaw County, S Carolina 42 Rural 0.8631 17900 Urban 0.9057
42280 Lancaster County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42290 Laurens County, S Carolina 42 Rural 0.8631 24860 Urban 1.0027
42300 Lee County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42310 Lexington County, S Carolina 1760 Urban 0.9082 17900 Urban 0.9057
42320 Mc Cormick County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42330 Marion County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42340 Marlboro County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42350 Newberry County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42360 Oconee County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42370 Orangeburg County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42380 Pickens County, S Carolina 3160 Urban 0.9615 24860 Urban 1.0027
42390 Richland County, S Carolina 1760 Urban 0.9082 17900 Urban 0.9057
42400 Saluda County, S Carolina 42 Rural 0.8631 17900 Urban 0.9057
42410 Spartanburg County, S Carolina 3160 Urban 0.9615 43900 Urban 0.9172
42420 Sumter County, S Carolina 8140 Urban 0.8377 44940 Urban 0.8377
42430 Union County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42440 Williamsburg County, S Carolina 42 Rural 0.8631 99942 Rural 0.8638
42450 York County, S Carolina 1520 Urban 0.9715 16740 Urban 0.9750
43010 Aurora County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43020 Beadle County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43030 Bennett County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43040 Bon Homme County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43050 Brookings County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43060 Brown County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43070 Brule County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43080 Buffalo County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43090 Butte County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43100 Campbell County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43110 Charles Mix County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43120 Clark County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43130 Clay County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43140 Codington County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43150 Corson County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43160 Custer County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43170 Davison County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43180 Day County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43190 Deuel County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43200 Dewey County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43210 Douglas County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43220 Edmunds County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43230 Fall River County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43240 Faulk County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43250 Grant County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43260 Gregory County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43270 Haakon County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43280 Hamlin County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43290 Hand County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43300 Hanson County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43310 Harding County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43320 Hughes County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43330 Hutchinson County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43340 Hyde County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43350 Jackson County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43360 Jerauld County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43370 Jones County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43380 Kingsbury County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43390 Lake County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43400 Lawrence County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43410 Lincoln County, S Dakota 7760 Urban 0.9635 43620 Urban 0.9635
43420 Lyman County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43430 Mc Cook County, S Dakota 43 Rural 0.8551 43620 Urban 0.9635
43440 Mc Pherson County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43450 Marshall County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43460 Meade County, S Dakota 43 Rural 0.8551 39660 Urban 0.8987
43470 Mellette County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43480 Miner County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43490 Minnehaha County, S Dakota 7760 Urban 0.9635 43620 Urban 0.9635
43500 Moody County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43510 Pennington County, S Dakota 6660 Urban 0.8987 39660 Urban 0.8987
43520 Perkins County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43530 Potter County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43540 Roberts County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43550 Sanborn County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43560 Shannon County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43570 Spink County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43580 Stanley County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43590 Sully County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43600 Todd County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43610 Tripp County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43620 Turner County, S Dakota 43 Rural 0.8551 43620 Urban 0.9635
43630 Union County, S Dakota 43 Rural 0.8551 43580 Urban 0.9381
43640 Walworth County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43650 Washabaugh County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43670 Yankton County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
43680 Ziebach County, S Dakota 43 Rural 0.8551 99943 Rural 0.8560
44000 Anderson County, Tennessee 3840 Urban 0.8397 28940 Urban 0.8441
44010 Bedford County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44020 Benton County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44030 Bledsoe County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44040 Blount County, Tennessee 3840 Urban 0.8397 28940 Urban 0.8441
44050 Bradley County, Tennessee 44 Rural 0.7935 17420 Urban 0.8139
44060 Campbell County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44070 Cannon County, Tennessee 44 Rural 0.7935 34980 Urban 0.9790
44080 Carroll County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44090 Carter County, Tennessee 3660 Urban 0.8007 27740 Urban 0.7937
44100 Cheatham County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
44110 Chester County, Tennessee 3580 Urban 0.8964 27180 Urban 0.8964
44120 Claiborne County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44130 Clay County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44140 Cocke County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44150 Coffee County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44160 Crockett County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44170 Cumberland County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44180 Davidson County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
44190 Decatur County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44200 De Kalb County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44210 Dickson County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
44220 Dyer County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44230 Fayette County, Tennessee 4920 Urban 0.9416 32820 Urban 0.9397
44240 Fentress County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44250 Franklin County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44260 Gibson County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44270 Giles County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44280 Grainger County, Tennessee 44 Rural 0.7935 34100 Urban 0.7961
44290 Greene County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44300 Grundy County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44310 Hamblen County, Tennessee 44 Rural 0.7935 34100 Urban 0.7961
44320 Hamilton County, Tennessee 1560 Urban 0.9088 16860 Urban 0.9088
44330 Hancock County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44340 Hardeman County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44350 Hardin County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44360 Hawkins County, Tennessee 3660 Urban 0.8007 28700 Urban 0.8054
44370 Haywood County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44380 Henderson County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44390 Henry County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44400 Hickman County, Tennessee 44 Rural 0.7935 34980 Urban 0.9790
44410 Houston County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44420 Humphreys County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44430 Jackson County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44440 Jefferson County, Tennessee 44 Rural 0.7935 34100 Urban 0.7961
44450 Johnson County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44460 Knox County, Tennessee 3840 Urban 0.8397 28940 Urban 0.8441
44470 Lake County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44480 Lauderdale County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44490 Lawrence County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44500 Lewis County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44510 Lincoln County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44520 Loudon County, Tennessee 3840 Urban 0.8397 28940 Urban 0.8441
44530 Mc Minn County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44540 Mc Nairy County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44550 Macon County, Tennessee 44 Rural 0.7935 34980 Urban 0.9790
44560 Madison County, Tennessee 3580 Urban 0.8964 27180 Urban 0.8964
44570 Marion County, Tennessee 1560 Urban 0.9088 16860 Urban 0.9088
44580 Marshall County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44590 Maury County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44600 Meigs County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44610 Monroe County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44620 Montgomery County, Tennessee 1660 Urban 0.8284 17300 Urban 0.8284
44630 Moore County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44640 Morgan County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44650 Obion County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44660 Overton County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44670 Perry County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44680 Pickett County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44690 Polk County, Tennessee 44 Rural 0.7935 17420 Urban 0.8139
44700 Putnam County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44710 Rhea County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44720 Roane County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44730 Robertson County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
44740 Rutherford County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
44750 Scott County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44760 Sequatchie County, Tennessee 44 Rural 0.7935 16860 Urban 0.9088
44770 Sevier County, Tennessee 3840 Urban 0.8397 99944 Rural 0.7895
44780 Shelby County, Tennessee 4920 Urban 0.9416 32820 Urban 0.9397
44790 Smith County, Tennessee 44 Rural 0.7935 34980 Urban 0.9790
44800 Stewart County, Tennessee 44 Rural 0.7935 17300 Urban 0.8284
44810 Sullivan County, Tennessee 3660 Urban 0.8007 28700 Urban 0.8054
44820 Sumner County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
44830 Tipton County, Tennessee 4920 Urban 0.9416 32820 Urban 0.9397
44840 Trousdale County, Tennessee 44 Rural 0.7935 34980 Urban 0.9790
44850 Unicoi County, Tennessee 3660 Urban 0.8007 27740 Urban 0.7937
44860 Union County, Tennessee 3840 Urban 0.8397 28940 Urban 0.8441
44870 Van Buren County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44880 Warren County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44890 Washington County, Tennessee 3660 Urban 0.8007 27740 Urban 0.7937
44900 Wayne County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44910 Weakley County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44920 White County, Tennessee 44 Rural 0.7935 99944 Rural 0.7895
44930 Williamson County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
44940 Wilson County, Tennessee 5360 Urban 0.9808 34980 Urban 0.9790
45000 Anderson County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45010 Andrews County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45020 Angelina County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45030 Aransas County, Texas 45 Rural 0.7931 18580 Urban 0.8550
45040 Archer County, Texas 9080 Urban 0.8365 48660 Urban 0.8285
45050 Armstrong County, Texas 45 Rural 0.7931 11100 Urban 0.9156
45060 Atascosa County, Texas 45 Rural 0.7931 41700 Urban 0.8980
45070 Austin County, Texas 45 Rural 0.7931 26420 Urban 0.9996
45080 Bailey County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45090 Bandera County, Texas 45 Rural 0.7931 41700 Urban 0.8980
45100 Bastrop County, Texas 0640 Urban 0.9437 12420 Urban 0.9437
45110 Baylor County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45113 Bee County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45120 Bell County, Texas 3810 Urban 0.8526 28660 Urban 0.8526
45130 Bexar County, Texas 7240 Urban 0.8984 41700 Urban 0.8980
45140 Blanco County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45150 Borden County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45160 Bosque County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45170 Bowie County, Texas 8360 Urban 0.8283 45500 Urban 0.8283
45180 Brazoria County, Texas 1145 Urban 0.8563 26420 Urban 0.9996
45190 Brazos County, Texas 1260 Urban 0.8900 17780 Urban 0.8900
45200 Brewster County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45201 Briscoe County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45210 Brooks County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45220 Brown County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45221 Burleson County, Texas 45 Rural 0.7931 17780 Urban 0.8900
45222 Burnet County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45223 Caldwell County, Texas 0640 Urban 0.9437 12420 Urban 0.9437
45224 Calhoun County, Texas 45 Rural 0.7931 47020 Urban 0.8160
45230 Callahan County, Texas 45 Rural 0.7931 10180 Urban 0.7896
45240 Cameron County, Texas 1240 Urban 0.9804 15180 Urban 0.9804
45250 Camp County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45251 Carson County, Texas 45 Rural 0.7931 11100 Urban 0.9156
45260 Cass County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45270 Castro County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45280 Chambers County, Texas 3360 Urban 1.0091 26420 Urban 0.9996
45281 Cherokee County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45290 Childress County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45291 Clay County, Texas 45 Rural 0.7931 48660 Urban 0.8285
45292 Cochran County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45300 Coke County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45301 Coleman County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45310 Collin County, Texas 1920 Urban 1.0205 19124 Urban 1.0228
45311 Collingsworth County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45312 Colorado County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45320 Comal County, Texas 7240 Urban 0.8984 41700 Urban 0.8980
45321 Comanche County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45330 Concho County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45340 Cooke County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45341 Coryell County, Texas 3810 Urban 0.8526 28660 Urban 0.8526
45350 Cottle County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45360 Crane County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45361 Crockett County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45362 Crosby County, Texas 45 Rural 0.7931 31180 Urban 0.8783
45370 Culberson County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45380 Dallam County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45390 Dallas County, Texas 1920 Urban 1.0205 19124 Urban 1.0228
45391 Dawson County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45392 Deaf Smith County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45400 Delta County, Texas 45 Rural 0.7931 19124 Urban 1.0228
45410 Denton County, Texas 1920 Urban 1.0205 19124 Urban 1.0228
45420 De Witt County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45421 Dickens County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45430 Dimmit County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45431 Donley County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45440 Duval County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45450 Eastland County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45451 Ector County, Texas 5800 Urban 0.9741 36220 Urban 0.9884
45460 Edwards County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45470 Ellis County, Texas 1920 Urban 1.0205 19124 Urban 1.0228
45480 El Paso County, Texas 2320 Urban 0.8977 21340 Urban 0.8977
45490 Erath County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45500 Falls County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45510 Fannin County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45511 Fayette County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45520 Fisher County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45521 Floyd County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45522 Foard County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45530 Fort Bend County, Texas 3360 Urban 1.0091 26420 Urban 0.9996
45531 Franklin County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45540 Freestone County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45541 Frio County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45542 Gaines County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45550 Galveston County, Texas 2920 Urban 0.9635 26420 Urban 0.9996
45551 Garza County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45552 Gillespie County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45560 Glasscock County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45561 Goliad County, Texas 45 Rural 0.7931 47020 Urban 0.8160
45562 Gonzales County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45563 Gray County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45564 Grayson County, Texas 7640 Urban 0.9507 43300 Urban 0.9507
45570 Gregg County, Texas 4420 Urban 0.8888 30980 Urban 0.8730
45580 Grimes County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45581 Guadaloupe County, Texas 7240 Urban 0.8984 41700 Urban 0.8980
45582 Hale County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45583 Hall County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45590 Hamilton County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45591 Hansford County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45592 Hardeman County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45600 Hardin County, Texas 0840 Urban 0.8412 13140 Urban 0.8412
45610 Harris County, Texas 3360 Urban 1.0091 26420 Urban 0.9996
45620 Harrison County, Texas 4420 Urban 0.8888 99945 Rural 0.8003
45621 Hartley County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45630 Haskell County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45631 Hays County, Texas 0640 Urban 0.9437 12420 Urban 0.9437
45632 Hemphill County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45640 Henderson County, Texas 1920 Urban 1.0205 99945 Rural 0.8003
45650 Hidalgo County, Texas 4880 Urban 0.8934 32580 Urban 0.8934
45651 Hill County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45652 Hockley County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45653 Hood County, Texas 2800 Urban 0.9522 99945 Rural 0.8003
45654 Hopkins County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45660 Houston County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45661 Howard County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45662 Hudspeth County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45670 Hunt County, Texas 1920 Urban 1.0205 19124 Urban 1.0228
45671 Hutchinson County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45672 Irion County, Texas 45 Rural 0.7931 41660 Urban 0.8271
45680 Jack County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45681 Jackson County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45690 Jasper County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45691 Jeff Davis County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45700 Jefferson County, Texas 0840 Urban 0.8412 13140 Urban 0.8412
45710 Jim Hogg County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45711 Jim Wells County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45720 Johnson County, Texas 2800 Urban 0.9522 23104 Urban 0.9486
45721 Jones County, Texas 45 Rural 0.7931 10180 Urban 0.7896
45722 Karnes County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45730 Kaufman County, Texas 1920 Urban 1.0205 19124 Urban 1.0228
45731 Kendall County, Texas 45 Rural 0.7931 41700 Urban 0.8980
45732 Kenedy County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45733 Kent County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45734 Kerr County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45740 Kimble County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45741 King County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45742 Kinney County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45743 Kleberg County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45744 Knox County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45750 Lamar County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45751 Lamb County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45752 Lampasas County, Texas 45 Rural 0.7931 28660 Urban 0.8526
45753 La Salle County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45754 Lavaca County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45755 Lee County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45756 Leon County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45757 Liberty County, Texas 3360 Urban 1.0091 26420 Urban 0.9996
45758 Limestone County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45759 Lipscomb County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45760 Live Oak County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45761 Llano County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45762 Loving County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45770 Lubbock County, Texas 4600 Urban 0.8783 31180 Urban 0.8783
45771 Lynn County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45772 Mc Culloch County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45780 Mc Lennan County, Texas 8800 Urban 0.8518 47380 Urban 0.8518
45781 Mc Mullen County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45782 Madison County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45783 Marion County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45784 Martin County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45785 Mason County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45790 Matagorda County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45791 Maverick County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45792 Medina County, Texas 45 Rural 0.7931 41700 Urban 0.8980
45793 Menard County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45794 Midland County, Texas 5800 Urban 0.9741 33260 Urban 0.9514
45795 Milam County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45796 Mills County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45797 Mitchell County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45800 Montague County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45801 Montgomery County, Texas 3360 Urban 1.0091 26420 Urban 0.9996
45802 Moore County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45803 Morris County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45804 Motley County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45810 Nacogdoches County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45820 Navarro County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45821 Newton County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45822 Nolan County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45830 Nueces County, Texas 1880 Urban 0.8550 18580 Urban 0.8550
45831 Ochiltree County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45832 Oldham County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45840 Orange County, Texas 0840 Urban 0.8412 13140 Urban 0.8412
45841 Palo Pinto County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45842 Panola County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45843 Parker County, Texas 2800 Urban 0.9522 23104 Urban 0.9486
45844 Parmer County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45845 Pecos County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45850 Polk County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45860 Potter County, Texas 0320 Urban 0.9156 11100 Urban 0.9156
45861 Presidio County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45870 Rains County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45871 Randall County, Texas 0320 Urban 0.9156 11100 Urban 0.9156
45872 Reagan County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45873 Real County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45874 Red River County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45875 Reeves County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45876 Refugio County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45877 Roberts County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45878 Robertson County, Texas 45 Rural 0.7931 17780 Urban 0.8900
45879 Rockwall County, Texas 1920 Urban 1.0205 19124 Urban 1.0228
45880 Runnels County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45881 Rusk County, Texas 45 Rural 0.7931 30980 Urban 0.8730
45882 Sabine County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45883 San Augustine County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45884 San Jacinto County, Texas 45 Rural 0.7931 26420 Urban 0.9996
45885 San Patricio County, Texas 1880 Urban 0.8550 18580 Urban 0.8550
45886 San Saba County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45887 Schleicher County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45888 Scurry County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45889 Shackelford County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45890 Shelby County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45891 Sherman County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45892 Smith County, Texas 8640 Urban 0.9168 46340 Urban 0.9168
45893 Somervell County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45900 Starr County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45901 Stephens County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45902 Sterling County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45903 Stonewall County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45904 Sutton County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45905 Swisher County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45910 Tarrant County, Texas 2800 Urban 0.9522 23104 Urban 0.9486
45911 Taylor County, Texas 0040 Urban 0.8054 10180 Urban 0.7896
45912 Terrell County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45913 Terry County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45920 Throckmorton County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45921 Titus County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45930 Tom Green County, Texas 7200 Urban 0.8271 41660 Urban 0.8271
45940 Travis County, Texas 0640 Urban 0.9437 12420 Urban 0.9437
45941 Trinity County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45942 Tyler County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45943 Upshur County, Texas 4420 Urban 0.8888 30980 Urban 0.8730
45944 Upton County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45945 Uvalde County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45946 Val Verde County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45947 Van Zandt County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45948 Victoria County, Texas 8750 Urban 0.8160 47020 Urban 0.8160
45949 Walker County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45950 Waller County, Texas 3360 Urban 1.0091 26420 Urban 0.9996
45951 Ward County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45952 Washington County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45953 Webb County, Texas 4080 Urban 0.8068 29700 Urban 0.8068
45954 Wharton County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45955 Wheeler County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45960 Wichita County, Texas 9080 Urban 0.8365 48660 Urban 0.8285
45961 Wilbarger County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45962 Willacy County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45970 Williamson County, Texas 0640 Urban 0.9437 12420 Urban 0.9437
45971 Wilson County, Texas 7240 Urban 0.8984 41700 Urban 0.8980
45972 Winkler County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45973 Wise County, Texas 45 Rural 0.7931 23104 Urban 0.9486
45974 Wood County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45980 Yoakum County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45981 Young County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45982 Zapata County, Texas 45 Rural 0.7931 99945 Rural 0.8003
45983 Zavala County, Texas 45 Rural 0.7931 99945 Rural 0.8003
46000 Beaver County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46010 Box Elder County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46020 Cache County, Utah 46 Rural 0.8762 30860 Urban 0.9164
46030 Carbon County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46040 Daggett County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46050 Davis County, Utah 7160 Urban 0.9340 36260 Urban 0.9029
46060 Duchesne County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46070 Emery County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46080 Garfield County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46090 Grand County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46100 Iron County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46110 Juab County, Utah 46 Rural 0.8762 39340 Urban 0.9500
46120 Kane County, Utah 2620 Urban 1.1845 99946 Rural 0.8118
46130 Millard County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46140 Morgan County, Utah 46 Rural 0.8762 36260 Urban 0.9029
46150 Piute County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46160 Rich County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46170 Salt Lake County, Utah 7160 Urban 0.9340 41620 Urban 0.9421
46180 San Juan County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46190 Sanpete County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46200 Sevier County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46210 Summit County, Utah 46 Rural 0.8762 41620 Urban 0.9421
46220 Tooele County, Utah 46 Rural 0.8762 41620 Urban 0.9421
46230 Uintah County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46240 Utah County, Utah 6520 Urban 0.9500 39340 Urban 0.9500
46250 Wasatch County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46260 Washington County, Utah 46 Rural 0.8762 41100 Urban 0.9392
46270 Wayne County, Utah 46 Rural 0.8762 99946 Rural 0.8118
46280 Weber County, Utah 7160 Urban 0.9340 36260 Urban 0.9029
47000 Addison County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47010 Bennington County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47020 Caledonia County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47030 Chittenden County, Vermont 1303 Urban 0.9410 15540 Urban 0.9410
47040 Essex County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47050 Franklin County, Vermont 1303 Urban 0.9410 15540 Urban 0.9410
47060 Grand Isle County, Vermont 1303 Urban 0.9410 15540 Urban 0.9410
47070 Lamoille County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47080 Orange County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47090 Orleans County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47100 Rutland County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47110 Washington County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47120 Windham County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
47130 Windsor County, Vermont 47 Rural 0.9830 99947 Rural 0.9830
48010 St Croix County, Virgin Islands 48 Rural 0.7615 99948 Rural 0.7615
48020 St Thomas-John County, Virgin Islands 48 Rural 0.7615 99948 Rural 0.7615
49000 Accomack County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49010 Albemarle County, Virginia 1540 Urban 1.0187 16820 Urban 1.0187
49011 Alexandria City County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49020 Alleghany County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49030 Amelia County, Virginia 49 Rural 0.8417 40060 Urban 0.9328
49040 Amherst County, Virginia 4640 Urban 0.8691 31340 Urban 0.8691
49050 Appomattox County, Virginia 49 Rural 0.8417 31340 Urban 0.8691
49060 Arlington County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49070 Augusta County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49080 Bath County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49088 Bedford City County, Virginia 4640 Urban 0.8691 31340 Urban 0.8691
49090 Bedford County, Virginia 4640 Urban 0.8691 31340 Urban 0.8691
49100 Bland County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49110 Botetourt County, Virginia 6800 Urban 0.8387 40220 Urban 0.8374
49111 Bristol City County, Virginia 3660 Urban 0.8007 28700 Urban 0.8054
49120 Brunswick County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49130 Buchanan County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49140 Buckingham County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49141 Buena Vista City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49150 Campbell County, Virginia 4640 Urban 0.8691 31340 Urban 0.8691
49160 Caroline County, Virginia 49 Rural 0.8417 40060 Urban 0.9328
49170 Carroll County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49180 Charles City County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49190 Charlotte County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49191 Charlottesville City County, Virginia 1540 Urban 1.0187 16820 Urban 1.0187
49194 Chesapeake County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49200 Chesterfield County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49210 Clarke County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49211 Clifton Forge City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49212 Colonial Heights County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49213 Covington City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49220 Craig County, Virginia 49 Rural 0.8417 40220 Urban 0.8374
49230 Culpeper County, Virginia 8840 Urban 1.0976 99949 Rural 0.8013
49240 Cumberland County, Virginia 49 Rural 0.8417 40060 Urban 0.9328
49241 Danville City County, Virginia 1950 Urban 0.8489 19260 Urban 0.8489
49250 Dickenson County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49260 Dinniddie County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49270 Emporia County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49280 Essex County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49288 Fairfax City County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49290 Fairfax County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49291 Falls Church City County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49300 Fauquier County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49310 Floyd County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49320 Fluvanna County, Virginia 1540 Urban 1.0187 16820 Urban 1.0187
49328 Franklin City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49330 Franklin County, Virginia 49 Rural 0.8417 40220 Urban 0.8374
49340 Frederick County, Virginia 49 Rural 0.8417 49020 Urban 1.0214
49342 Fredericksburg City County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49343 Galax City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49350 Giles County, Virginia 49 Rural 0.8417 13980 Urban 0.7954
49360 Gloucester County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49370 Goochland County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49380 Grayson County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49390 Greene County, Virginia 1540 Urban 1.0187 16820 Urban 1.0187
49400 Greensville County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49410 Halifax County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49411 Hampton City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49420 Hanover County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49421 Harrisonburg City County, Virginia 49 Rural 0.8417 25500 Urban 0.9088
49430 Henrico County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49440 Henry County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49450 Highland County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49451 Hopewell City County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49460 Isle Of Wight County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49470 James City Co County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49480 King And Queen County, Virginia 49 Rural 0.8417 40060 Urban 0.9328
49490 King George County, Virginia 8840 Urban 1.0976 99949 Rural 0.8013
49500 King William County, Virginia 49 Rural 0.8417 40060 Urban 0.9328
49510 Lancaster County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49520 Lee County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49522 Lexington County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49530 Loudoun County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49540 Louisa County, Virginia 49 Rural 0.8417 40060 Urban 0.9328
49550 Lunenburg County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49551 Lynchburg City County, Virginia 4640 Urban 0.8691 31340 Urban 0.8691
49560 Madison County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49561 Martinsville City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49563 Manassas City County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49565 Manassas Park City County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49570 Mathews County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49580 Mecklenburg County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49590 Middlesex County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49600 Montgomery County, Virginia 49 Rural 0.8417 13980 Urban 0.7954
49610 Nansemond County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49620 Nelson County, Virginia 49 Rural 0.8417 16820 Urban 1.0187
49621 New Kent County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49622 Newport News City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49641 Norfolk City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49650 Northampton County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49660 Northumberland County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49661 Norton City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49670 Nottoway County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49680 Orange County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49690 Page County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49700 Patrick County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49701 Petersburg City County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49710 Pittsylvania County, Virginia 1950 Urban 0.8489 19260 Urban 0.8489
49711 Portsmouth City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49712 Poquoson City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49720 Powhatan County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49730 Prince Edward County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49740 Prince George County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49750 Prince William County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49770 Pulaski County, Virginia 49 Rural 0.8417 13980 Urban 0.7954
49771 Radford City County, Virginia 49 Rural 0.8417 13980 Urban 0.7954
49780 Rappahannock County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49790 Richmond County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49791 Richmond City County, Virginia 6760 Urban 0.9328 40060 Urban 0.9328
49800 Roanoke County, Virginia 6800 Urban 0.8387 40220 Urban 0.8374
49801 Roanoke City County, Virginia 6800 Urban 0.8387 40220 Urban 0.8374
49810 Rockbridge County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49820 Rockingham County, Virginia 49 Rural 0.8417 25500 Urban 0.9088
49830 Russell County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49838 Salem County, Virginia 6800 Urban 0.8387 40220 Urban 0.8374
49840 Scott County, Virginia 3660 Urban 0.8007 28700 Urban 0.8054
49850 Shenandoah County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49860 Smyth County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49867 South Boston City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49870 Southampton County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49880 Spotsylvania County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49890 Stafford County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49891 Staunton City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49892 Suffolk City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49900 Surry County, Virginia 49 Rural 0.8417 47260 Urban 0.8799
49910 Sussex County, Virginia 49 Rural 0.8417 40060 Urban 0.9328
49920 Tazewell County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49921 Virginia Beach City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49930 Warren County, Virginia 8840 Urban 1.0976 47894 Urban 1.0926
49950 Washington County, Virginia 3660 Urban 0.8007 28700 Urban 0.8054
49951 Waynesboro City County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49960 Westmoreland County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49961 Williamsburg City County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
49962 Winchester City County, Virginia 49 Rural 0.8417 49020 Urban 1.0214
49970 Wise County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49980 Wythe County, Virginia 49 Rural 0.8417 99949 Rural 0.8013
49981 York County, Virginia 5720 Urban 0.8799 47260 Urban 0.8799
50000 Adams County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50010 Asotin County, Washington 50 Rural 1.0217 30300 Urban 0.9886
50020 Benton County, Washington 6740 Urban 1.0619 28420 Urban 1.0619
50030 Chelan County, Washington 50 Rural 1.0217 48300 Urban 1.0070
50040 Clallam County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50050 Clark County, Washington 6440 Urban 1.1266 38900 Urban 1.1266
50060 Columbia County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50070 Cowlitz County, Washington 50 Rural 1.0217 31020 Urban 0.9579
50080 Douglas County, Washington 50 Rural 1.0217 48300 Urban 1.0070
50090 Ferry County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50100 Franklin County, Washington 6740 Urban 1.0619 28420 Urban 1.0619
50110 Garfield County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50120 Grant County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50130 Grays Harbor County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50140 Island County, Washington 7600 Urban 1.1567 99950 Rural 1.0510
50150 Jefferson County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50160 King County, Washington 7600 Urban 1.1567 42644 Urban 1.1577
50170 Kitsap County, Washington 1150 Urban 1.0675 14740 Urban 1.0675
50180 Kittitas County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50190 Klickitat County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50200 Lewis County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50210 Lincoln County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50220 Mason County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50230 Okanogan County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50240 Pacific County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50250 Pend Oreille County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50260 Pierce County, Washington 8200 Urban 1.0742 45104 Urban 1.0742
50270 San Juan County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50280 Skagit County, Washington 50 Rural 1.0217 34580 Urban 1.0454
50290 Skamania County, Washington 50 Rural 1.0217 38900 Urban 1.1266
50300 Snohomish County, Washington 7600 Urban 1.1567 42644 Urban 1.1577
50310 Spokane County, Washington 7840 Urban 1.0905 44060 Urban 1.0905
50320 Stevens County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50330 Thurston County, Washington 5910 Urban 1.0927 36500 Urban 1.0927
50340 Wahkiakum County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50350 Walla Walla County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50360 Whatcom County, Washington 0860 Urban 1.1731 13380 Urban 1.1731
50370 Whitman County, Washington 50 Rural 1.0217 99950 Rural 1.0510
50380 Yakima County, Washington 9260 Urban 1.0155 49420 Urban 1.0155
51000 Barbour County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51010 Berkeley County, W Virginia 8840 Urban 1.0976 25180 Urban 0.9489
51020 Boone County, W Virginia 51 Rural 0.7900 16620 Urban 0.8445
51030 Braxton County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51040 Brooke County, W Virginia 8080 Urban 0.7819 48260 Urban 0.7819
51050 Cabell County, W Virginia 3400 Urban 0.9477 26580 Urban 0.9477
51060 Calhoun County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51070 Clay County, W Virginia 51 Rural 0.7900 16620 Urban 0.8445
51080 Doddridge County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51090 Fayette County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51100 Gilmer County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51110 Grant County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51120 Greenbrier County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51130 Hampshire County, W Virginia 51 Rural 0.7900 49020 Urban 1.0214
51140 Hancock County, W Virginia 8080 Urban 0.7819 48260 Urban 0.7819
51150 Hardy County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51160 Harrison County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51170 Jackson County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51180 Jefferson County, W Virginia 8840 Urban 1.0976 47894 Urban 1.0926
51190 Kanawha County, W Virginia 1480 Urban 0.8445 16620 Urban 0.8445
51200 Lewis County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51210 Lincoln County, W Virginia 51 Rural 0.7900 16620 Urban 0.8445
51220 Logan County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51230 Mc Dowell County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51240 Marion County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51250 Marshall County, W Virginia 9000 Urban 0.7161 48540 Urban 0.7161
51260 Mason County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51270 Mercer County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51280 Mineral County, W Virginia 1900 Urban 0.9317 19060 Urban 0.9317
51290 Mingo County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51300 Monongalia County, W Virginia 51 Rural 0.7900 34060 Urban 0.8420
51310 Monroe County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51320 Morgan County, W Virginia 51 Rural 0.7900 25180 Urban 0.9489
51330 Nicholas County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51340 Ohio County, W Virginia 9000 Urban 0.7161 48540 Urban 0.7161
51350 Pendleton County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51360 Pleasants County, W Virginia 51 Rural 0.7900 37620 Urban 0.8270
51370 Pocahontas County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51380 Preston County, W Virginia 51 Rural 0.7900 34060 Urban 0.8420
51390 Putnam County, W Virginia 1480 Urban 0.8445 16620 Urban 0.8445
51400 Raleigh County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51410 Randolph County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51420 Ritchie County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51430 Roane County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51440 Summers County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51450 Taylor County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51460 Tucker County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51470 Tyler County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51480 Upshur County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51490 Wayne County, W Virginia 3400 Urban 0.9477 26580 Urban 0.9477
51500 Webster County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51510 Wetzel County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
51520 Wirt County, W Virginia 51 Rural 0.7900 37620 Urban 0.8270
51530 Wood County, W Virginia 6020 Urban 0.8270 37620 Urban 0.8270
51540 Wyoming County, W Virginia 51 Rural 0.7900 99951 Rural 0.7717
52000 Adams County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52010 Ashland County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52020 Barron County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52030 Bayfield County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52040 Brown County, Wisconsin 3080 Urban 0.9483 24580 Urban 0.9483
52050 Buffalo County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52060 Burnett County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52070 Calumet County, Wisconsin 0460 Urban 0.9239 11540 Urban 0.9288
52080 Chippewa County, Wisconsin 2290 Urban 0.9201 20740 Urban 0.9201
52090 Clark County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52100 Columbia County, Wisconsin 52 Rural 0.9478 31540 Urban 1.0659
52110 Crawford County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52120 Dane County, Wisconsin 4720 Urban 1.0754 31540 Urban 1.0659
52130 Dodge County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52140 Door County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52150 Douglas County, Wisconsin 2240 Urban 1.0213 20260 Urban 1.0213
52160 Dunn County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52170 Eau Claire County, Wisconsin 2290 Urban 0.9201 20740 Urban 0.9201
52180 Florence County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52190 Fond Du Lac County, Wisconsin 52 Rural 0.9478 22540 Urban 0.9640
52200 Forest County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52210 Grant County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52220 Green County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52230 Green Lake County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52240 Iowa County, Wisconsin 52 Rural 0.9478 31540 Urban 1.0659
52250 Iron County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52260 Jackson County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52270 Jefferson County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52280 Juneau County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52290 Kenosha County, Wisconsin 3800 Urban 0.9760 29404 Urban 1.0429
52300 Kewaunee County, Wisconsin 52 Rural 0.9478 24580 Urban 0.9483
52310 La Crosse County, Wisconsin 3870 Urban 0.9564 29100 Urban 0.9564
52320 Lafayette County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52330 Langlade County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52340 Lincoln County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52350 Manitowoc County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52360 Marathon County, Wisconsin 8940 Urban 0.9590 48140 Urban 0.9590
52370 Marinette County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52380 Marquette County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52381 Menominee County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52390 Milwaukee County, Wisconsin 5080 Urban 1.0146 33340 Urban 1.0146
52400 Monroe County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52410 Oconto County, Wisconsin 52 Rural 0.9478 24580 Urban 0.9483
52420 Oneida County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52430 Outagamie County, Wisconsin 0460 Urban 0.9239 11540 Urban 0.9288
52440 Ozaukee County, Wisconsin 5080 Urban 1.0146 33340 Urban 1.0146
52450 Pepin County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52460 Pierce County, Wisconsin 5120 Urban 1.1075 33460 Urban 1.1075
52470 Polk County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52480 Portage County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52490 Price County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52500 Racine County, Wisconsin 6600 Urban 0.8997 39540 Urban 0.8997
52510 Richland County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52520 Rock County, Wisconsin 3620 Urban 0.9538 27500 Urban 0.9538
52530 Rusk County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52540 St Croix County, Wisconsin 5120 Urban 1.1075 33460 Urban 1.1075
52550 Sauk County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52560 Sawyer County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52570 Shawano County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52580 Sheboygan County, Wisconsin 7620 Urban 0.8911 43100 Urban 0.8911
52590 Taylor County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52600 Trempealeau County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52610 Vernon County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52620 Vilas County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52630 Walworth County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52640 Washburn County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52650 Washington County, Wisconsin 5080 Urban 1.0146 33340 Urban 1.0146
52660 Waukesha County, Wisconsin 5080 Urban 1.0146 33340 Urban 1.0146
52670 Waupaca County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52680 Waushara County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
52690 Winnebago County, Wisconsin 0460 Urban 0.9239 36780 Urban 0.9183
52700 Wood County, Wisconsin 52 Rural 0.9478 99952 Rural 0.9509
53000 Albany County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53010 Big Horn County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53020 Campbell County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53030 Carbon County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53040 Converse County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53050 Crook County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53060 Fremont County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53070 Goshen County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53080 Hot Springs County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53090 Johnson County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53100 Laramie County, Wyoming 1580 Urban 0.8775 16940 Urban 0.8775
53110 Lincoln County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53120 Natrona County, Wyoming 1350 Urban 0.9026 16220 Urban 0.9026
53130 Niobrara County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53140 Park County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53150 Platte County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53160 Sheridan County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53170 Sublette County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53180 Sweetwater County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53190 Teton County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53200 Uinta County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53210 Washakie County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
53220 Weston County, Wyoming 53 Rural 0.9257 99953 Rural 0.9257
65010 Agana County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65020 Agana Heights County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65030 Agat County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65040 Asan County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65050 Barrigada County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65060 Chalan Pago County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65070 Dededo County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65080 Inarajan County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65090 Maite County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65100 Mangilao County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65110 Merizo County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65120 Mongmong County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65130 Ordot County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65140 Piti County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65150 Santa Rita County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65160 Sinajana County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65170 Talofofo County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65180 Tamuning County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65190 Toto County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65200 Umatac County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65210 Yigo County, Guam 65 Rural 0.9611 99965 Rural 0.9611
65220 Yona County, Guam 65 Rural 0.9611 99965 Rural 0.9611
*Transition wage index value should be used with the CBSA urban/rural designation for rate calculation purposes.
At this time, there are no hospitals located in these CBSA-based urban areas on which to base a wage index. Therefore, the transition wage index value is based on the average transition wage index for all urban areas within the state.

Addendum C—Wage Index Tables

In this addendum, we provide the tables referred to throughout the preamble to this proposed rule. Tables 1 and 2 below provide the proposed CBSA-based wage index values for urban and rural providers.

Table 2.—Proposed Wage Index Based on CBSA Labor Market Areas for Rural Areas

CBSA Code Nonurban Area Wage Index
01 Alabama 0.7446
02 Alaska 1.1977
03 Arizona 0.8768
04 Arkansas 0.7466
05 California 1.1054
06 Colorado 0.9380
07 Connecticut 1.1730
08 Delaware 0.9579
10 Florida 0.8568
11 Georgia 0.7662
12 Hawaii 1.0551
13 Idaho 0.8037
14 Illinois 0.8271
15 Indiana 0.8624
16 Iowa 0.8509
17 Kansas 0.8035
18 Kentucky 0.7766
19 Louisiana 0.7411
20 Maine 0.8843
21 Maryland 0.9353
22 Massachusetts 1.0216
23 Michigan 0.8895
24 Minnesota 0.9132
25 Mississippi 0.7674
26 Missouri 0.7900
27 Montana 0.8762
28 Nebraska 0.8657
29 Nevada 0.9065
30 New Hampshire 1.0817
31 New Jersey
32 New Mexico 0.8635
33 New York 0.8154
34 North Carolina 0.8540
35 North Dakota 0.7261
36 Ohio 0.8826
37 Oklahoma 0.7581
38 Oregon 0.9826
39 Pennsylvania 0.8291
40 Puerto Rico 0.4047
41 Rhode Island
42 South Carolina 0.8638
43 South Dakota 0.8560
44 Tennessee 0.7895
45 Texas 0.8003
46 Utah 0.8118
47 Vermont 0.9830
48 Virgin Islands 0.7615
49 Virginia 0.8013
50 Washington 1.0510
51 West Virginia 0.7717
52 Wisconsin 0.9509
53 Wyoming 0.9257
65 Guam 0.9611
All counties within the State are classified as urban, with the exception of Massachusetts and Puerto Rico. Massachusetts and Puerto Rico have areas designated as rural, however, no short-term, acute care hospitals are located in the area(s) for FY 2006. Because more recent data is not available for those areas, we are using last year's wage index value.

[FR Doc. 06-488 Filed 1-13-06; 4:01 pm]

BILLING CODE 4120-01-P