68 FR 193 pgs. 57732-57758 - Medicare Program; Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2004 Rates; Correction
Type: RULEVolume: 68Number: 193Pages: 57732 - 57758
Docket number: [CMS-1470-CN]
FR document: [FR Doc. 03-25192 Filed 9-30-03; 3:27 pm]
Agency: Health and Human Services Department
Sub Agency: Centers for Medicare Medicaid Services
Official PDF Version: PDF Version
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare Medicaid Services
42 CFR Parts 412 and 413
[CMS-1470-CN]
RIN 0938-AL89
Medicare Program; Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2004 Rates; Correction
AGENCY:
Centers for Medicare Medicaid Services (CMS), HHS.
ACTION:
Correction of final rule.
SUMMARY:
This document corrects technical errors that appeared in the final rule published in the Federal Register on August 1, 2003 entitled "Medicare Program; Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2004 Rates." These corrections include-(1) An error in the assignment of procedures to diagnosis-related group (DRG) 525, Heart Assist System Implant; (2) a technical error in the new technology add-on payment amount for InFUSE TM Bone Graft/LT-CAGE TM Lumbar Tapered Fusion Device (InFUSE TM ); and (3) technical errors in the wage index values and geographic reclassifications. As a result of the wage index and geographic reclassification corrections, we have recalculated the budget neutrality factors applicable to the operating national average standardized amounts and the capital Federal rate, which resulted in changes to the standardized amounts themselves.
EFFECTIVE DATES:
The corrections listed in this document are effective on October 1, 2003.
FOR FURTHER INFORMATION CONTACT:
Margot Blige Holloway, (410) 786-4642.
SUPPLEMENTARY INFORMATION:
I. Background
In FR Doc. 03-19363 of August 1, 2003 (68 FR 45346), there was a factual error and a number of technical errors that are identified and corrected in the Correction of Errors section (section II) of this document. There are also typographical errors that are identified and corrected in section II of this document.
We are correcting the assignment of procedures to DRG 525 in light of the much lower charges associated with code 37.62. We are also correcting a factual error in our response to a comment we received stating that the DRG assignment of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) procedure codes to DRG 525 is clinically and financially inappropriate. Our response stated that this point had not been raised prior to this year's proposed rule. However, our response was incorrect. In fact, a commenter did point out in response to our proposal to create DRG 525 for FY 2003 that ICD-9-CM procedure code 37.62 was clinically and financially dissimilar to other procedures in DRG 525, and recommended this procedure code not be included in DRG 525 but should remain in DRGs 104 and 105, Cardiac Valve and Other Major Cardiothoracic Procedures With and Without Cardiac Catheterization. ( See the August 1, 2002 Federal Register (68 FR 49991) for the detailed discussion of the comment and our response.)
We will remove all cases with code 37.62 from DRG 525, and reassign them to DRGs 104 and 105, respectively. Procedure codes 37.63 (Replacement and repair of heart assist system), 37.65 (Implant of an external, pulsatile heart assist system), and 37.66 (Implant of an implantable, pulsatile heart assist system) will continue to be assigned to DRG 525. This change will increase the relative weight and the payments for cases assigned to DRG 525. We now believe this correction is necessary to ensure adequate access to procedures in this DRG. As a result of these corrections, we are also making corrections to the relative weights and the geometric and arithmetic mean length of stay listed in Table 5 of the final rule. Although this change will be effective for discharges occurring on or after October 1, 2003, it requires the issuance of revised GROUPER software. At this time, we do not anticipate revised GROUPER software will be available until at least January 1, 2004. Affected claims may be resubmitted for adjusted payments after that date.
One of the technical errors involved our discussion of the approval of InFUSE TM Bone Graft/LT-CAGE TM Lumbar Tapered Fusion Device (InFUSE TM ) as a new technology eligible add-on payment. In that discussion, we mistakenly indicated that a single level fusion required the use of two InFUSE products, with a total cost of $17,800. Based on further review of the costs associated with this technology, we have determined that only one InFUSE product is required for a single level fusion. Accordingly, we are correcting the maximum add-on payment for a case involving the InFUSE TM to be $4,450. In addition, we have recomputed the budget neutrality adjustment factor under section 1886(d)(4)(C)(iii) to reflect the lower estimate of the total add-on payments for this new technology.
The technical errors also included several errors in the calculation of the wage index. These errors were due to the mishandling or miscalculation of data by CMS and the fiscal intermediaries. Therefore, we are making corrections to some of the average hourly wages shown in Table 2 for individual hospitals and to the corresponding average hourly wages shown in Table 3A of the Metropolitan Statistical Areas (MSA) where those hospitals are located. At least one of the computational errors also has a spill-over effect on hospitals other than the hospitals that were the subjects of the error. This error involved a few hospitals whose wage indexes were calculated as if their cost reporting periods equaled 1 month (even though the hospitals had reported a full 12 months of data). As we explained in the August 1, 2003 final rule, we annualize short cost-reporting periods to reflect a 1-year period (68 FR 45399). Annualization is accomplished by dividing the data by the number of days in the cost report and then multiplying the results by 365, and such annualization resulted in a wage index for the subject hospitals inflated by a factor of approximately 12. Correcting the error results in a decrease to the national average hourly wage rate and a concurrent general increase in the wage indexes. Consequently, we are republishing Tables 4A through 4H, reflecting corrections to hospitals' wage indexes.
After the publication of the August 1, 2003 final rule, we were notified of a wage index data error for rural Georgia. These errors appear in the average hourly wages listed in Table 2 and in the Table 3B (Wage Index and Capital Geographic Adjustment Factor (GAF) for Rural Areas). The errors in the average hourly wage were a result of the use of an incorrect data file. In this notice, we are correcting the average hourly wage listed in Tables 2 and 3B. However, because we did not receive notification regarding the error in enough time to make corrections to the rural Georgia wage index effective for discharges on or after October 1, 2003, we are not correcting the corresponding wage index values (which are listed in Tables 4B and 4H) in this document. These corrections will be issued in a future program memorandum and made effective prospectively with discharges occurring on or after January 1, 2004.
Also, there were technical errors in the geographic reclassifications that will result in corrections to the reclassification data displayed in Table 9 of the August 1, 2003 final rule. We note that wage index changes and geographic reclassifications are required to be budget neutral under sections 1886(d)(3)(E) and 1886(d)(8)(D) of the Social Security Act (the Act). Similarly, section 412.308(c)(4) of the regulations requires that the capital standard Federal rate be adjusted so that the annual DRG reclassification and the recalibration of DRG weights and changes in the geographic adjustment factor (GAF) are budget neutral. Therefore, in order to comply with the statutory and regulatory requirements for overall budget neutrality, we recalculated the budget neutrality factors applied to operating national average standardized amounts and the capital Federal rate. Because the wage indexes generally increased across all hospitals, the budget neutrality calculations caused the standardized amounts to decrease slightly. We have also corrected the relevant columns of Table I from the impact analysis in Appendix A to reflect these corrections to the wage index and standardized amounts. In addition, we are correcting a typographical error in the same table. We note that this correction is essentially nullified by the wage index corrections. However, we want to point out the value of the published figure should have been positive rather than negative ( see correction to page 45662). Finally, we note that total payments to hospitals under IPPS are relatively unaffected by changes in prospective payments for capital-related costs. Since capital PPS payments constitute about 10 percent of hospital payments, a 1-percent change in the capital Federal rate yields only about 0.1 percent change in actual payments to hospitals. Thus, the impact of the -0.31 percent change in the FY 2004 capital Federal rate is negligible.
Lastly, we are republishing Table 10, Mean and .75 Standard Deviation by Diagnosis-Related Group in its entirety, due to the inadvertent publication of the incorrect version of Table 10 in the final rule.
II. Correction of Errors
In FR Doc. 03-19363 of August 1, 2003 (68 FR 45346), make the following corrections:
1. On page 45370,
a. First column, second and third full paragraphs, the paragraphs beginning with the phrases " Response: In response to comments" and "While we recognize the significant" are corrected to read " Response: We agree it is appropriate to correct the assignment of procedures to DRG 525 in light of the lower charges associated with procedure code 37.62. Therefore, we are moving code 37.62 into DRGs 104 and 105, and leaving procedure codes 37.63, 37.65, and 37.66 in DRG 525.";
b. First column last paragraph, lines 1 through 3, the sentence "Furthermore, the volume and mix of cases in this DRG is likely to change over the next year" is corrected by deleting the sentence; and
c. Second column, first full paragraph, last line, the phrase "revising DRG 525." is corrected to read "any further revisions to these DRG assignments.".
2. On page 45371, first column, third full paragraph, line 3, the phrase "increase the harge" is corrected to read "increase the charge".
3. On page 45386, third column, first full paragraph, lines 5, the phrase "such item" is corrected to read "such items".
4. On page 45390,
a. Second column,
(1) First partial paragraph, last line, sentences are added to read "We note that, InFUSETM Bone Graft/LT-CAGETM Lumbar Tapered Fusion Device with recombinant human bone morphogenetic protein (rhBMP) 2 is the only rhBMP technology that has applied and met the criteria for the new technology add-on payment. Therefore, the add-on payments will apply only to this technology";
(2) Second full paragraph, lines 6 through 19, the sentences, "The average cost of the InFUSETM is reported to be $8,900, and a single level fusion requires two of the products. Therefore, the total cost for the InFUSETM for a single-level fusion is expected to be $17,800. Under § 412.88(a)(2), new technology add-on payments are limited to the lesser of 50 percent of the average cost of the device or 50 percent of the costs in excess of the DRG payment for the case. As a result, the maximum add-on payment for a case involving the InFUSETM is $8,900." are corrected to read "The average cost of the InFUSETM is reported to be $8,900 for a single level fusion. Under § 412.88(a)(2), new technology add-on payments are limited to the lesser of 50 percent of the average cost of the device or 50 percent of the costs in excess of the DRG payment for the case. As a result the maximum add-on payment for a case involving the InFUSETM is $4,450."; and
(3) Third full paragraph,
(a) Line 11, the figure "$8,900" is corrected to read "$4,450"; and
(b) Line 14, the figure "$4.4 million" is corrected to read "$2.2 million".
b. Third column, first full paragraph, line 2, the phrase "meet the cost" is corrected to read "meets the cost".
5. On page 45399,
a. First column, fourth full paragraph, line 9, the figure "$24.8076" is corrected to read "$24.7202"; and
b. Second column, first full paragraph, line 16, the figure "$11.5905" is corrected to read "$11.6030".
6. On page 45410, first column, second full paragraph, line 3, the phrase "Of the three DRGs that" is corrected to read "Of these ten, three DRGs".
7. On page 45413, table at the top of the page, line 19 (DRG 468), fifth column, the figure "7.07" is corrected to read "-7.07".
8. On page 45416, third column, third paragraph, lines 12 through 13, the parenthetical phrase "(68 FR 37202 through 37204)." is corrected to read "(68 FR 27202 through 27204).".
9. On page 45446, first column,
a. Lines 46 through 49, the phrase "agreements that will allow hospitals to continue counting residents training in nonhospital sites for indirect and direct GME." is corrected by italicizing it to read "agreements that will allow hospitals to continue counting residents training in nonhospital sites for indirect and direct GME.";
b. Lines 51 through 54, the sentence "We do not believe that the agreements regarding these financial transactions will necessitate changes in the placement and training of residents." is corrected by italicizing it to read " We do not believe that the agreements regarding these financial transactions will necessitate changes in the placement and training of residents. "; and
c. Lines 60 through 64, the sentence "Currently the hospital is able to count the resident even though the costs for that resident may be lower during the time when the resident trains outside the hospital." is corrected by italicizing it to read " Currently the hospital is able to count the resident even though the costs for that resident may be lower during the time when the resident trains outside the hospital. ".
10. On page 45453, second column, line 19, the phrase "condone, cost" is corrected to read "condoned, cost".
§ 413.86 [Corrected]
11. On page 45472, first column, lines 3 and 4, the phrase "T. Redesignating paragraphs (i) and (j) as paragraphs (j) and (k), respectively," is corrected to read "Redesignating paragraphs (i), (j), and (k) as paragraphs (j), (k), and (l), respectively,".
12. On page 45475, third column, fifth paragraph, line 9, the figure "$14.4 million" is corrected to read "$12.2 million".
13. On page 45476, first column,
a. First full paragraph, line 3, the figure "1.005522" is corrected to read "1.002588"; and
b. Fourth full paragraph, line 16, the amount "0.992026" is corrected to read "0.991636".
14. On pages 45478 through 45479, the untitled table is corrected to read as follows:
| Large urban | Other areas | |
|---|---|---|
| FY 2003 Base Rate (after removing reclassification budget neutrality and outlier offset) | Labor-$3,213.66 Nonlabor-$1,306.26 | Labor-$3,162.78 Nonlabor-$1,285.58 |
| FY 2004 Update Factor | 1.034 | 1.034 |
| FY 2004 DRG Recalibrations and Wage Index Budget Neutrality Factor | 1.002588 | 1.002588 |
| FY 2004 Reclassification Budget Neutrality Factor | 0.991636 | 0.991636 |
| Adjusted for Blend of FY 2003 DRG Recalibration and Wage Index Budget Neutrality Factors (factor of 0.993209 effective October 1, 2002; factor of 0.993012 effective April 1, 2003) | Labor-$3,331.20 Nonlabor-$1,354.03 | Labor-$3,278.45 Nonlabor-$1,332.60 |
| FY 2004 Outlier Factor | 0.949460 | 0.949460 |
| Rate for FY 2004 (after multiplying FY 2003 base rate by above factors) | Labor-$3,136.39 Nonlabor-$1,274.85 | Labor-$3,086.73 Nonlabor-$1,254.67 |
15. On page 45479, third column, sixth full paragraph, line 16, the figure "1.005522" is corrected to be "1.002588".
16. On page 45481, first column,
a. First partial paragraph, line 12, the figure "$415.47" is corrected to read "$414.18"; and
b. First full paragraph, line 5, the figure "2.10" is corrected to read "1.78".
17. On page 45482,
a. Second column, third paragraph,
(1) Line 11, the figure "4.79" is corrected to read "4.77"; and
(2) Line 15, the figure "0.9521" is corrected to read "0.9523".
b. Third column, first paragraph,
(1) Line 4, the figures "1.0055" and "0.9521" are corrected to read "1.0057" and "0.9523", respectively; and
(2) Line 6, the figure "0.55" is corrected to read "0.57".
18. On page 45483,
a. Top of the page,
(1) Second column,
(a) Line 6, the figure "1.0002" is corrected to read "1.0003"; and
(b) Line 9, the figure "0.9965" is corrected to read "0.9966".
(2) Third column, line 10, the figures "0.9941" and "0.9973" are corrected to read "0.9908" and "0.9974", respectively.
b. Center of the page, in the table entitled Budget Neutrality Adjustment for DRG Reclassifications and Recalibration and the Geographic Adjustment Factors, the last line of the table (Fiscal Year 2004) is corrected to read as follows:
| Fiscal year | National | Incremental adjustment | Geographic adjustment factor | DRG reclassifications and recalibration | Combined | Cumulative | Puerto Rico | Incremental adjustment | Geographic adjustment factor | DRG Reclassifications and recalibration | Combined | Cumulative |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004 | 8 1.00175 | 1.00081 | 8 1.00256 | 0.99083 | 8 1.00028 | 8 1.00081 | 8 1.00109 | 0.99736 |
b. Lower third of the page,
(1) Second column, second paragraph, line 6, the figure "1.0059" is corrected to read "1.0026";
(2) Third column, first partial paragraph,
(a) Line 5, the figure "1.0059" is corrected to read "1.0026";
(b) Line 7, the figure "0.9941" is corrected to read "0.9908";
(c) Line 13, the figure "1.0059" is corrected to read "1.0026"; and
(d) Line 14, the figure "0.9941" is corrected to read "0.9908".
19. On page 45485,
a. Top of the page,
(1) Second column, first partial paragraph,
(a) Line 4, the figure "$415.47" is corrected to read "$414.18";
(b) Line 13, the figure "1.0059" is corrected to read "1.0026"; and
(c) Line 15, the figure "0.9521" is corrected to read "0.9523".
(2) Third column, first full paragraph,
(a) Line 11, the figure "0.59" is corrected to read "0.26";
(b) Line 13, the figure "0.55" is corrected to read "0.57"; and
(c) Line 21, the figure "2.10" is corrected to read "1.78".
b. Upper half of the page, the table entitled Comparison of Factors and Adjustments: FY 2003 Capital Federal Rate and FY 2004 Capital Federal Rate, the table is corrected to read as follows:
| FY 2003 | FY 2004 | Change | Percent change | |
|---|---|---|---|---|
| Update factor1 | 1.0110 | 1.0070 | 1.0070 | 0.70 |
| GAF/DRG Adjustment Factor1 | 0.9957 | 1.0026 | 1.0026 | 0.26 |
| Outlier Adjustment Factor2 | 0.9469 | 0.9523 | 1.0057 | 0.57 |
| Exceptions Adjustment Factor2 | 0.9970 | 0.9995 | 1.0025 | 0.25 |
| Capital Federal Rate | $406.93 | $414.18 | 3 1.0178 | 3 1.78 |
| 1 The update factor and the GAF/DRG budget neutrality factors are built permanently into the capital rates. Thus, for example, the incremental change from FY 2003 to FY 2004 resulting from the application of the 1.0026 GAF/DRG budget neutrality factor for FY 2004 is 1.0026. | ||||
| 2 The outlier reduction factor and the exceptions adjustment factor are not built permanently into the capital rates; that is, these factors are not applied cumulatively in determining the capital rates. Thus, for example, the net change resulting from the application of the FY 2004 outlier adjustment factor is 0.9523/0.9469, or 1.0057. | ||||
| 3 The percent change in factors and adjustments may not sum due to rounding. | ||||
c. Lower half of the page, the table entitled Comparison of Factors and Adjustments: FY 2004 Proposed Capital Federal Rate and FY 2004 Final Capital Federal Rate, the following entries are corrected to read as follows:
| Proposed FY 2004 | Final FY 2004 | Change | Percent change | |
|---|---|---|---|---|
| GAF/DRG Adjustment Factor | 1.0038 | 1.0026 | 0.9988 | -0.12 |
| Outlier Adjustment Factor | 0.9455 | 0.9523 | 1.0072 | 0.72 |
| Capital Federal Rate | $411.72 | $414.18 | 1.0060 | 0.60 |
d. Bottom of the page, third column, first partial paragraph,
(1) Line 3, the figure "1.0002" is corrected to read "1.0003"; and
(2) Line 5, the figure "0.9973" is corrected to read "0.9974".
20. On page 45486, first column, first full paragraph, last line, the figure "$203.15" is corrected to read "$203.17".
21. On page 45487, third column, line 45, the title, "Table 6E.-vised Diagnosis Code Titles" is corrected to read "Table 6E.-Revised Diagnosis Code Titles".
22. On page 45488,
a. In Table 1A-National Adjusted Operating Standardized Amounts, Labor/Nonlabor, the table is corrected to read as follows:
| Large urban areas | Labor-related | Nonlabor-related | Other Areas | Labor-related | Nonlabor-related |
|---|---|---|---|---|---|
| $3,136.39 | $1,274.85 | $3,086.73 | $1,254.67 |
b. In Table 1C-Adjusted Operating Standardized Amounts for Puerto Rico, Labor/Nonlabor, the table is corrected to read as follows:
| Large urban areas | Labor | Nonlabor | Other areas | Labor | Nonlabor | |
|---|---|---|---|---|---|---|
| National | $3,110.02 | $1,264.14 | $3,110.02 | $1,264.14 | ||
| Puerto Rico | 1,509.57 | 607.64 | 1,485.68 | 598.02 |
c. In Table 1D-Capital Standard Federal Payment Rate, the table is corrected to read as follows:
| Rate | |
|---|---|
| National | $414.18 |
| Puerto Rico | 203.17 |
23. On page 45504, in Table 2-Hospital Average Hourly Wage for Federal Fiscal Years 2002 (1998 Wage Data), 2003 (1999 Wage Data), and 2004 (2000 Wage Data) Wage Indexes and 3-Year Average of Hospital Average Hourly Wages, line 29 (provider number 110063),
a. Fourth column, the figure "25.0270", is corrected to read "19.4401"; and
b. Fifth column, the figure "24.4605" is corrected to read "18.6913".
24. On page 45514, in Table 2-Hospital Average Hourly Wage for Federal Fiscal Years 2002 (1998 Wage Data), 2003 (1999 Wage Data), and 2004 (2000 Wage Data) Wage Indexes and 3-Year Average of Hospital Average Hourly Wages, line 3 (provider number 170020), fifth column, the figure "9.3514", is corrected to read "19.3514".
25. On page 45521, in Table 2-Hospital Average Hourly Wage for Federal Fiscal Years 2002 (1998 Wage Data), 2003 (1999 Wage Data), and 2004 (2000 Wage Data) Wage Indexes and 3-Year Average of Hospital Average Hourly Wages, line 19 (provider number 220077),
a. Fourth column, the figure "26.7020" is corrected to read "27.0946"; and
b. Fifth column, the figure "26.6704" is corrected to read "26.8042".
26. On page 45535, in Table 2-Hospital Average Hourly Wage for Federal Fiscal Years 2002 (1998 Wage Data), 2003 (1999 Wage Data), and 2004 (2000 Wage Data) Wage Indexes and 3-Year Average of Hospital Average Hourly Wages,
a. Line 42 (provider number 330107),
(1) Fourth column, the figure "29.7378" is corrected to read "29.1958"; and
(2) Fifth column, the figure "29.5391" is corrected to read "28.6349".
b. Line 56 (provider number 330133),
(1) Fourth column, the figure "35.9692" is corrected to read "35.3136"; and
(2) Fifth column, the figure should read, "35.9945" is corrected to read "35.8603".
c. Line 64 (provider number 330152),
(1) Fourth column, the figure "32.9336" is corrected to read "32.3332".; and
(2) Fifth column, the figure "32.8160" is corrected to read "32.2000".
27. On page 45541, in Table 2-Hospital Average Hourly Wage for Federal Fiscal Years 2002 (1998 Wage Data), 2003 (1999 Wage Data), and 2004 (2000 Wage Data) Wage Indexes and 3-Year Average of Hospital Average Hourly Wages, line 62 (provider number 360118),
a. Fourth column, the figure "*" is corrected to read "23.0071"; and
b. Fifth column, the figure "20.4951" is corrected to read "21.3647".
28. On page 45549, in Table 2-Hospital Average Hourly Wage for Federal Fiscal Years 2002 (1998 Wage Data), 2003 (1999 Wage Data), and 2004 (2000 Wage Data) Wage Indexes and 3-Year Average of Hospital Average Hourly Wages,
a. Line 19 (provider number 400019),
(1) Fourth column, the figure "13.6516" is corrected to read "13.7007"; and
(2) Fifth column, the figure "12.2168" is corrected to read "12.2324".
b. Line 32 (provider number 400098),
(1) Fourth column, the figure "13.5901" is corrected to read "13.8036"; and
(2) Fifth column, the figure "11.0612" is corrected to read "11.1197".
c. Line 38 (provider number 400109),
(1) Fourth column, the figure "12.8886" is corrected to read "12.8921"; and
(2) Fifth column, the figure "12.3304" is corrected to read "12.3316".
d. Line 51 (provider number 400124),
(1) Fourth column, the figure "14.1627" is corrected to read "14.3496"; and
(2) Fifth column, the figure "13.0714" is corrected to read "13.1360".
e. Line 52 (provider number 400125),
(1) Fourth column, the figure "10.5811" is corrected to read "10.6642"; and
(2) Fifth column, the figure "10.4664" is corrected to read "10.4990".
29. On page 45567, in Table 3A-FY 2004 and 3-Year Average Hourly Wage for Urban Areas,
a. Second set of columns, second line from the bottom (Mansfield, OH),
(1) Second column, the figure "20.3677" is corrected to read "22.6801"; and
(2) Third column, the figure "20.0909" is corrected to read "20.9208".
b. Third set of columns,
(1) Line 25 (Nassau-Suffolk, NY),
(a) Second column, the figure "32.0836" is corrected to read "32.4665"; and
(b) Third column, the figure "31.2325" is corrected to read "31.3135".
(2) Line 33 (New York, NY),
(1) Second column, the figure "34.5159" is corrected to read "34.6338"; and
(2) Third column, the figure "33.4648" is corrected to read "33.4208".
30. On page 45568, in Table 3A-FY 2004 and 3-Year Average Hourly Wage for Urban Areas,
a. First set of columns, line 37 (San Juan-Bayamon, PR),
(1) Second column, the figure "12.1065" is corrected to read "12.1291"; and
(2) Third column, the figure "11.2275" is corrected to read "11.2346".
b. Second set of columns, line 3 (Springfield, MA),
(1) Second column, the figure "25.8461" is corrected to read "26.0499"; and
(2) Third column, the figure "25.1765" is corrected to read "25.2463".
31. On page 45568, in Table 3B-FY 2004 and 3-Year* Average Hourly Wage for Rural Areas, line 10 (Georgia),
a. Third column, the figure "21.2360" is corrected to read "20.6779"; and
b. Fourth column, the figure "19.6529" is corrected to read "19.4073".
32. On pages 45569 through 45576, in Table 4A-Wage Index and Capital Geographic Adjustment Factor (GAF) for Urban Areas, the table is corrected to read as follows:
| Urban area (constituent counties) | Wage index | GAF |
|---|---|---|
| 00402 Abilene, TX | 0.7780 | 0.8421 |
| Taylor, TX | ||
| 0060Aguadilla, PR | 0.4306 | 0.5616 |
| Aguada, PR | ||
| Aguadilla, PR | ||
| Moca, PR | ||
| 0080Akron, OH | 0.9442 | 0.9614 |
| Portage, OH | ||
| Summit, OH | ||
| 0120Albany, GA | 1.0863 | 1.0583 |
| Dougherty, GA | ||
| Lee, GA | ||
| 01602 Albany-Schenectady-Troy, NY | 0.8526 | 0.8965 |
| Albany, NY | ||
| Montgomery, NY | ||
| Rensselaer, NY | ||
| Saratoga, NY | ||
| Schenectady, NY | ||
| Schoharie, NY | ||
| 0200Albuquerque, NM | 0.9300 | 0.9515 |
| Bernalillo, NM | ||
| Sandoval, NM | ||
| Valencia, NM | ||
| 0220Alexandria, LA | 0.8037 | 0.8610 |
| Rapides, LA | ||
| 0240Allentown-Bethlehem-Easton, PA | 0.9721 | 0.9808 |
| Carbon, PA | ||
| Lehigh, PA | ||
| Northampton, PA | ||
| 0280Altoona, PA | 0.8827 | 0.9181 |
| Blair, PA | ||
| 0320Amarillo, TX | 0.8986 | 0.9294 |
| Potter, TX | ||
| Randall, TX | ||
| 0380Anchorage, AK | 1.2351 | 1.1556 |
| Anchorage, AK | ||
| 0440Ann Arbor, MI | 1.1074 | 1.0724 |
| Lenawee, MI | ||
| Livingston, MI | ||
| Washtenaw, MI | ||
| 0450Anniston, AL | 0.8090 | 0.8649 |
| Calhoun, AL | ||
| 04602 Appleton-Oshkosh-Neenah, WI | 0.9304 | 0.9518 |
| Calumet, WI | ||
| Outagamie, WI | ||
| Winnebago, WI | ||
| 0470Arecibo, PR | 0.4155 | 0.5480 |
| Arecibo, PR | ||
| Camuy, PR | ||
| Hatillo, PR | ||
| 0480Asheville, NC | 0.9720 | 0.9807 |
| Buncombe, NC | ||
| Madison, NC | ||
| 0500Athens, GA | 0.9818 | 0.9875 |
| Clarke, GA | ||
| Madison, GA | ||
| Oconee, GA | ||
| 05201 Atlanta, GA | 1.0130 | 1.0089 |
| Barrow, GA | ||
| Bartow, GA | ||
| Carroll, GA | ||
| Cherokee, GA | ||
| Clayton, GA | ||
| Cobb, GA | ||
| Coweta, GA | ||
| DeKalb, GA | ||
| Douglas, GA | ||
| Fayette, GA | ||
| Forsyth, GA | ||
| Fulton, GA | ||
| Gwinnett, GA | ||
| Henry, GA | ||
| Newton, GA | ||
| Paulding, GA | ||
| Pickens, GA | ||
| Rockdale, GA | ||
| Spalding, GA | ||
| Walton, GA | ||
| 0560Atlantic-Cape May, NJ | 1.0795 | 1.0538 |
| Atlantic, NJ | ||
| Cape May, NJ | ||
| 0580Auburn-Opelika, AL | 0.8494 | 0.8942 |
| Lee, AL | ||
| 0600Augusta-Aiken, GA-SC | 0.9625 | 0.9742 |
| Columbia, GA | ||
| McDuffie, GA | ||
| Richmond, GA | ||
| Aiken, SC | ||
| Edgefield, SC | ||
| 06401 Austin-San Marcos, TX | 0.9609 | 0.9731 |
| Bastrop, TX | ||
| Caldwell, TX | ||
| Hays, TX | ||
| Travis, TX | ||
| Williamson, TX | ||
| 06802 Bakersfield, CA | 0.9967 | 0.9977 |
| Kern, CA | ||
| 07201 Baltimore, MD | 0.9919 | 0.9944 |
| Anne Arundel, MD | ||
| Baltimore, MD | ||
| Baltimore City, MD | ||
| Carroll, MD | ||
| Harford, MD | ||
| Howard, MD | ||
| Queen Anne's, MD | ||
| 0733Bangor, ME | 0.9904 | 0.9934 |
| Penobscot, ME | ||
| 0743Barnstable-Yarmouth, MA | 1.2956 | 1.1940 |
| Barnstable, MA | ||
| 0760Baton Rouge, LA | 0.8406 | 0.8879 |
| Ascension, LA | ||
| East Baton Rouge, LA | ||
| Livingston, LA | ||
| West Baton Rouge, LA | ||
| 0840Beaumont-Port Arthur, TX | 0.8424 | 0.8892 |
| Hardin, TX | ||
| Jefferson, TX | ||
| Orange, TX | ||
| 0860Bellingham, WA | 1.1757 | 1.1172 |
| Whatcom, WA | ||
| 0870Benton Harbor, MI | 0.8935 | 0.9258 |
| Berrien, MI | ||
| 08751 Bergen-Passaic, NJ | 1.1731 | 1.1155 |
| Bergen, NJ | ||
| Passaic, NJ | ||
| 0880Billings, MT | 0.8961 | 0.9276 |
| Yellowstone, MT | ||
| 0920Biloxi-Gulfport-Pascagoula, MS | 0.9029 | 0.9324 |
| Hancock, MS | ||
| Harrison, MS | ||
| Jackson, MS | ||
| 09602 Binghamton, NY | 0.8526 | 0.8965 |
| Broome, NY | ||
| Tioga, NY | ||
| 1000Birmingham, AL | 0.9212 | 0.9453 |
| Blount, AL | ||
| Jefferson, AL | ||
| St. Clair, AL | ||
| Shelby, AL | ||
| 1010Bismarck, ND | 0.8033 | 0.8607 |
| Burleigh, ND | ||
| Morton, ND | ||
| 10202 Bloomington, IN | 0.8824 | 0.9179 |
| Monroe, IN | ||
| 1040Bloomington-Normal, IL | 0.8832 | 0.9185 |
| McLean, IL | ||
| 1080Boise City, ID | 0.9232 | 0.9467 |
| Ada, ID | ||
| Canyon, ID | ||
| 11231 Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH | 1.1233 | 1.0829 |
| Bristol, MA | ||
| Essex, MA | ||
| Middlesex, MA | ||
| Norfolk, MA | ||
| Plymouth, MA | ||
| Suffolk, MA | ||
| Worcester, MA | ||
| Hillsborough, NH | ||
| Merrimack, NH | ||
| Rockingham, NH | ||
| Strafford, NH | ||
| 1125Boulder-Longmont, CO | 1.0049 | 1.0034 |
| Boulder, CO | ||
| 1145Brazoria, TX | 0.8137 | 0.8683 |
| Brazoria, TX | ||
| 1150Bremerton, WA | 1.0580 | 1.0394 |
| Kitsap, WA | ||
| 1240Brownsville-Harlingen-San Benito, TX | 1.0303 | 1.0207 |
| Cameron, TX | ||
| 1260Bryan-College Station, TX | 0.9019 | 0.9317 |
| Brazos, TX | ||
| 12801 Buffalo-Niagara Falls, NY | 0.9604 | 0.9727 |
| Erie, NY | ||
| Niagara, NY | ||
| 1303Burlington, VT | 0.9704 | 0.9796 |
| Chittenden, VT | ||
| Franklin, VT | ||
| Grand Isle, VT | ||
| 1310Caguas, PR | 0.4201 | 0.5522 |
| Caguas, PR | ||
| Cayey, PR | ||
| Cidra, PR | ||
| Gurabo, PR | ||
| San Lorenzo, PR | ||
| 1320Canton-Massillon, OH | 0.9071 | 0.9354 |
| Carroll, OH | ||
| Stark, OH | ||
| 1350Casper, WY | 0.9209 | 0.9451 |
| Natrona, WY | ||
| 1360Cedar Rapids, IA | 0.8874 | 0.9215 |
| Linn, IA | ||
| 1400Champaign-Urbana, IL | 0.9907 | 0.9936 |
| Champaign, IL | ||
| 1440Charleston-North Charleston, SC | 0.9332 | 0.9538 |
| Berkeley, SC | ||
| Charleston, SC | ||
| Dorchester, SC | ||
| 1480Charleston, WV | 0.8880 | 0.9219 |
| Kanawha, WV | ||
| Putnam, WV | ||
| 15201 Charlotte-Gastonia-Rock Hill, NC-SC | 0.9730 | 0.9814 |
| Cabarrus, NC | ||
| Gaston, NC | ||
| Lincoln, NC | ||
| Mecklenburg, NC | ||
| Rowan, NC | ||
| Stanly, NC | ||
| Union, NC | ||
| York, SC | ||
| 1540Charlottesville, VA | 1.0025 | 1.0017 |
| Albemarle, VA | ||
| Charlottesville City, VA | ||
| Fluvanna, VA | ||
| Greene, VA | ||
| 1560Chattanooga, TN-GA | 0.9086 | 0.9365 |
| Catoosa, GA | ||
| Dade, GA | ||
| Walker, GA | ||
| Hamilton, TN | ||
| Marion, TN | ||
| 15802 Cheyenne, WY | 0.9110 | 0.9382 |
| Laramie, WY | ||
| 16001 Chicago, IL | 1.0892 | 1.0603 |
| Cook, IL | ||
| DeKalb, IL | ||
| DuPage, IL | ||
| Grundy, IL | ||
| Kane, IL | ||
| Kendall, IL | ||
| Lake, IL | ||
| McHenry, IL | ||
| Will, IL | ||
| 1620Chico-Paradise, CA | 1.0193 | 1.0132 |
| Butte, CA | ||
| 16401 Cincinnati, OH-KY-IN | 0.9413 | 0.9594 |
| Dearborn, IN | ||
| Ohio, IN | ||
| Boone, KY | ||
| Campbell, KY | ||
| Gallatin, KY | ||
| Grant, KY | ||
| Kenton, KY | ||
| Pendleton, KY | ||
| Brown, OH | ||
| Clermont, OH | ||
| Hamilton, OH | ||
| Warren, OH | ||
| 1660Clarksville-Hopkinsville, TN-KY | 0.8354 | 0.8841 |
| Christian, KY | ||
| Montgomery, TN | ||
| 16801 Cleveland-Lorain-Elyria, OH | 0.9671 | 0.9774 |
| Ashtabula, OH | ||
| Cuyahoga, OH | ||
| Geauga, OH | ||
| Lake, OH | ||
| Lorain, OH | ||
| Medina, OH | ||
| 1720Colorado Springs, CO | 0.9833 | 0.9885 |
| El Paso, CO | ||
| 1740Columbia, MO | 0.8695 | 0.9087 |
| Boone, MO | ||
| 1760Columbia, SC | 0.8902 | 0.9234 |
| Lexington, SC | ||
| Richland, SC | ||
| 1800Columbus, GA-AL | 0.8694 | 0.9086 |
| Russell, AL | ||
| Chattahoochee, GA | ||
| Harris, GA | ||
| Muscogee, GA | ||
| 18401 Columbus, OH | 0.9648 | 0.9758 |
| Delaware, OH | ||
| Fairfield, OH | ||
| Franklin, OH | ||
| Licking, OH | ||
| Madison, OH | ||
| Pickaway, OH | ||
| 1880Corpus Christi, TX | 0.8521 | 0.8962 |
| Nueces, TX | ||
| San Patricio, TX | ||
| 1890Corvallis, OR | 1.1516 | 1.1015 |
| Benton, OR | ||
| 19002 Cumberland, MD-WV (MD Hospitals) | 0.9125 | 0.9392 |
| Allegany, MD | ||
| Mineral, WV | ||
| 1900Cumberland, MD-WV (WV Hospitals) | 0.8200 | 0.8729 |
| Allegany, MD | ||
| Mineral, WV | ||
| 19201 Dallas, TX | 0.9974 | 0.9982 |
| Collin, TX | ||
| Dallas, TX | ||
| Denton, TX | ||
| Ellis, TX | ||
| Henderson, TX | ||
| Hunt, TX | ||
| Kaufman, TX | ||
| Rockwall, TX | ||
| 1950Danville, VA | 0.9035 | 0.9329 |
| Danville City, VA | ||
| Pittsylvania, VA | ||
| 1960Davenport-Moline-Rock Island, IA-IL | 0.8985 | 0.9293 |
| Scott, IA | ||
| Henry, IL | ||
| Rock Island, IL | ||
| 2000Dayton-Springfield, OH | 0.9529 | 0.9675 |
| Clark, OH | ||
| Greene, OH | ||
| Miami, OH | ||
| Montgomery, OH | ||
| 2020Daytona Beach, FL | 0.9060 | 0.9346 |
| Flagler, FL | ||
| Volusia, FL | ||
| 2030Decatur, AL | 0.8828 | 0.9182 |
| Lawrence, AL | ||
| Morgan, AL | ||
| 20402 Decatur, IL | 0.8254 | 0.8769 |
| Macon, IL | ||
| 20801 Denver, CO | 1.0837 | 1.0566 |
| Adams, CO | ||
| Arapahoe, CO | ||
| Broomfield, CO | ||
| Denver, CO | ||
| Douglas, CO | ||
| Jefferson, CO | ||
| 2120Des Moines, IA | 0.9106 | 0.9379 |
| Dallas, IA | ||
| Polk, IA | ||
| Warren, IA | ||
| 21601 Detroit, MI | 1.0101 | 1.0069 |
| Lapeer, MI | ||
| Macomb, MI | ||
| Monroe, MI | ||
| Oakland, MI | ||
| St. Clair, MI | ||
| Wayne, MI | ||
| 2180Dothan, AL | 0.7765 | 0.8409 |
| Dale, AL | ||
| Houston, AL | ||
| 2190Dover, DE | 0.9805 | 0.9866 |
| Kent, DE | ||
| 2200Dubuque, IA | 0.8886 | 0.9223 |
| Dubuque, IA | ||
| 2240Duluth-Superior, MN-WI | 1.0171 | 1.0117 |
| St. Louis, MN | ||
| Douglas, WI | ||
| 2281Dutchess County, NY | 1.0934 | 1.0631 |
| Dutchess, NY | ||
| 22902 Eau Claire, WI | 0.9304 | 0.9518 |
| Chippewa, WI | ||
| Eau Claire, WI | ||
| 2320El Paso, TX | 0.9196 | 0.9442 |
| El Paso, TX | ||
| 2330Elkhart-Goshen, IN | 0.9783 | 0.9851 |
| Elkhart, IN | ||
| 23352 Elmira, NY | 0.8526 | 0.8965 |
| Chemung, NY | ||
| 2340Enid, OK | 0.8559 | 0.8989 |
| Garfield, OK | ||
| 2360Erie, PA | 0.8601 | 0.9019 |
| Erie, PA | ||
| 2400Eugene-Springfield, OR | 1.1456 | 1.0976 |
| Lane, OR | ||
| 24402 Evansville-Henderson, IN-KY (IN Hospitals) | 0.8824 | 0.9179 |
| Posey, IN | ||
| Vanderburgh, IN | ||
| Warrick, IN | ||
| Henderson, KY | ||
| 2440Evansville-Henderson, IN-KY (KY Hospitals) | 0.8429 | 0.8896 |
| Posey, IN | ||
| Vanderburgh, IN | ||
| Warrick, IN | ||
| Henderson, KY | ||
| 2520Fargo-Moorhead, ND-MN | 0.9797 | 0.9861 |
| Clay, MN | ||
| Cass, ND | ||
| 2560Fayetteville, NC | 0.8986 | 0.9294 |
| Cumberland, NC | ||
| 2580Fayetteville-Springdale-Rogers, AR | 0.8396 | 0.8872 |
| Benton, AR | ||
| Washington, AR | ||
| 2620Flagstaff, AZ-UT | 1.1333 | 1.0895 |
| Coconino, AZ | ||
| Kane, UT | ||
| 2640Flint, MI | 1.0858 | 1.0580 |
| Genesee, MI | ||
| 2650Florence, AL | 0.7797 | 0.8433 |
| Colbert, AL | ||
| Lauderdale, AL | ||
| 2655Florence, SC | 0.8709 | 0.9097 |
| Florence, SC | ||
| 2670Fort Collins-Loveland, CO | 1.0148 | 1.0101 |
| Larimer, CO | ||
| 26801 Ft. Lauderdale, FL | 1.0479 | 1.0326 |
| Broward, FL | ||
| 2700Fort Myers-Cape Coral, FL | 0.9816 | 0.9874 |
| Lee, FL | ||
| 2710Fort Pierce-Port St. Lucie, FL | 1.0124 | 1.0085 |
| Martin, FL | ||
| St. Lucie, FL | ||
| 2720Fort Smith, AR-OK | 0.8424 | 0.8892 |
| Crawford, AR | ||
| Sebastian, AR | ||
| Sequoyah, OK | ||
| 2750Fort Walton Beach, FL | 0.8966 | 0.9280 |
| Okaloosa, FL | ||
| 2760Fort Wayne, IN | 0.9585 | 0.9714 |
| Adams, IN | ||
| Allen, IN | ||
| De Kalb, IN | ||
| Huntington, IN | ||
| Wells, IN | ||
| Whitley, IN | ||
| 28001 Forth Worth-Arlington, TX | 0.9359 | 0.9556 |
| Hood, TX | ||
| Johnson, TX | ||
| Parker, TX | ||
| Tarrant, TX | ||
| 2840Fresno, CA | 1.0142 | 1.0097 |
| Fresno, CA | ||
| Madera, CA | ||
| 2880Gadsden, AL | 0.8229 | 0.8750 |
| Etowah, AL | ||
| 2900Gainesville, FL | 0.9693 | 0.9789 |
| Alachua, FL | ||
| 2920Galveston-Texas City, TX | 0.9279 | 0.9500 |
| Galveston, TX | ||
| 2960Gary, IN | 0.9410 | 0.9592 |
| Lake, IN | ||
| Porter, IN | ||
| 29752 Glens Falls, NY | 0.8526 | 0.8965 |
| Warren, NY | ||
| Washington, NY | ||
| 2980Goldsboro, NC | 0.8622 | 0.9035 |
| Wayne, NC | ||
| 2985Grand Forks, ND-MN (ND Hospitals) | 0.8636 | 0.9045 |
| Polk, MN | ||
| Grand Forks, ND | ||
| 29852 Grand Forks, ND-MN (MN Hospitals) | 0.9345 | 0.9547 |
| Polk, MN | ||
| Grand Forks, ND | ||
| 2995Grand Junction, CO | 0.9921 | 0.9946 |
| Mesa, CO | ||
| 30001 Grand Rapids-Muskegon-Holland, MI | 0.9469 | 0.9633 |
| Allegan, MI | ||
| Kent, MI | ||
| Muskegon, MI | ||
| Ottawa, MI | ||
| 3040Great Falls, MT | 0.8918 | 0.9246 |
| Cascade, MT | ||
| 3060Greeley, CO | 0.9453 | 0.9622 |
| Weld, CO | ||
| 3080Green Bay, WI | 0.9518 | 0.9667 |
| Brown, WI | ||
| 31201 Greensboro-Winston-Salem-High Point, NC | 0.9166 | 0.9421 |
| Alamance, NC | ||
| Davidson, NC | ||
| Davie, NC | ||
| Forsyth, NC | ||
| Guilford, NC | ||
| Randolph, NC | ||
| Stokes, NC | ||
| Yadkin, NC | ||
| 3150Greenville, NC | 0.9167 | 0.9422 |
| Pitt, NC | ||
| 3160Greenville-Spartanburg-Anderson, SC | 0.9335 | 0.9540 |
| Anderson, SC | ||
| Cherokee, SC | ||
| Greenville, SC | ||
| Pickens, SC | ||
| Spartanburg, SC | ||
| 3180Hagerstown, MD | 0.9172 | 0.9425 |
| Washington, MD | ||
| 3200Hamilton-Middletown, OH | 0.9214 | 0.9455 |
| Butler, OH | ||
| 3240Harrisburg-Lebanon-Carlisle, PA | 0.9164 | 0.9420 |
| Cumberland, PA | ||
| Dauphin, PA | ||
| Lebanon, PA | ||
| Perry, PA | ||
| 3283 1,2 Hartford, CT | 1.2183 | 1.1448 |
| Hartford, CT | ||
| Litchfield, CT | ||
| Middlesex, CT | ||
| Tolland, CT | ||
| 32852 Hattiesburg, MS | 0.7778 | 0.8419 |
| Forrest, MS | ||
| Lamar, MS | ||
| 3290Hickory-Morganton-Lenoir, NC | 0.9242 | 0.9475 |
| Alexander, NC | ||
| Burke, NC | ||
| Caldwell, NC | ||
| Catawba, NC | ||
| 3320Honolulu, HI | 1.1116 | 1.0751 |
| Honolulu, HI | ||
| 3350Houma, LA | 0.7771 | 0.8414 |
| Lafourche, LA | ||
| Terrebonne, LA | ||
| 33601 Houston, TX | 0.9834 | 0.9886 |
| Chambers, TX | ||
| Fort Bend, TX | ||
| Harris, TX | ||
| Liberty, TX | ||
| Montgomery, TX | ||
| Waller, TX | ||
| 3400Huntington-Ashland, WV-KY-OH | 0.9595 | 0.9721 |
| Boyd, KY | ||
| Carter, KY | ||
| Greenup, KY | ||
| Lawrence, OH | ||
| Cabell, WV | ||
| Wayne, WV | ||
| 3440Huntsville, AL | 0.9245 | 0.9477 |
| Limestone, AL | ||
| Madison, AL | ||
| 34801 Indianapolis, IN | 0.9916 | 0.9942 |
| Boone, IN | ||
| Hamilton, IN | ||
| Hancock, IN | ||
| Hendricks, IN | ||
| Johnson, IN | ||
| Madison, IN | ||
| Marion, IN | ||
| Morgan, IN | ||
| Shelby, IN | ||
| 3500Iowa City, IA | 0.9548 | 0.9688 |
| Johnson, IA | ||
| 3520Jackson, MI | 0.8986 | 0.9294 |
| Jackson, MI | ||
| 3560Jackson, MS | 0.8399 | 0.8874 |
| Hinds, MS | ||
| Madison, MS | ||
| Rankin, MS | ||
| 3580Jackson, TN | 0.8984 | 0.9293 |
| Madison, TN | ||
| Chester, TN | ||
| 36001 Jacksonville, FL | 0.9563 | 0.9699 |
| Clay, FL | ||
| Duval, FL | ||
| Nassau, FL | ||
| St. Johns, FL | ||
| 3605Jacksonville, NC | 0.8544 | 0.8978 |
| Onslow, NC | ||
| 36102 Jamestown, NY | 0.8526 | 0.8965 |
| Chautauqua, NY | ||
| 36202 Janesville-Beloit, WI | 0.9304 | 0.9518 |
| Rock, WI | ||
| 3640Jersey City, NJ | 1.1115 | 1.0751 |
| Hudson, NJ | ||
| 3660Johnson City-Kingsport-Bristol, TN-VA (TN Hospitals) | 0.8256 | 0.8770 |
| Carter, TN | ||
| Hawkins, TN | ||
| Sullivan, TN | ||
| Unicoi, TN | ||
| Washington, TN | ||
| Bristol City, VA | ||
| Scott, VA | ||
| Washington, VA | ||
| 36602 Johnson City-Kingsport-Bristol, TN-VA (VA Hospitals) | 0.8498 | 0.8945 |
| Carter, TN | ||
| Hawkins, TN | ||
| Sullivan, TN | ||
| Unicoi, TN | ||
| Washington, TN | ||
| Bristol City, VA | ||
| Scott, VA | ||
| Washington, VA | ||
| 36802 Johnstown, PA | 0.8378 | 0.8859 |
| Cambria, PA | ||
| Somerset, PA | ||
| 3700Jonesboro, AR | 0.7809 | 0.8442 |
| Craighead, AR | ||
| 3710Joplin, MO | 0.8681 | 0.9077 |
| Jasper, MO | ||
| Newton, MO | ||
| 3720Kalamazoo-Battlecreek, MI | 1.0500 | 1.0340 |
| Calhoun, MI | ||
| Kalamazoo, MI | ||
| Van Buren, MI | ||
| 3740Kankakee, IL | 1.0419 | 1.0285 |
| Kankakee, IL | ||
| 37601 Kansas City, KS-MO | 0.9715 | 0.9804 |
| Johnson, KS | ||
| Leavenworth, KS | ||
| Miami, KS | ||
| Wyandotte, KS | ||
| Cass, MO | ||
| Clay, MO | ||
| Clinton, MO | ||
| Jackson, MO | ||
| Lafayette, MO | ||
| Platte, MO | ||
| Ray, MO | ||
| 3800Kenosha, WI | 0.9761 | 0.9836 |
| Kenosha, WI | ||
| 3810Killeen-Temple, TX | 0.9159 | 0.9416 |
| Bell, TX | ||
| Coryell, TX | ||
| 3840Knoxville, TN | 0.8820 | 0.9176 |
| Anderson, TN | ||
| Blount, TN | ||
| Knox, TN | ||
| Loudon, TN | ||
| Sevier, TN | ||
| Union, TN | ||
| 3850Kokomo, IN | 0.9045 | 0.9336 |
| Howard, IN | ||
| Tipton, IN | ||
| 38702 La Crosse, WI-MN | 0.9304 | 0.9518 |
| Houston, MN | ||
| La Crosse, WI | ||
| 3880Lafayette, LA | 0.8225 | 0.8748 |
| Acadia, LA | ||
| Lafayette, LA | ||
| St. Landry, LA | ||
| St. Martin, LA | ||
| 39202 Lafayette, IN | 0.8824 | 0.9179 |
| Clinton, IN | ||
| Tippecanoe, IN | ||
| 3960Lake Charles, LA | 0.7841 | 0.8466 |
| Calcasieu, LA | ||
| 39802 Lakeland-Winter Haven, FL | 0.8855 | 0.9201 |
| Polk, FL | ||
| 4000Lancaster, PA | 0.9282 | 0.9503 |
| Lancaster, PA | ||
| 4040Lansing-East Lansing, MI | 0.9714 | 0.9803 |
| Clinton, MI | ||
| Eaton, MI | ||
| Ingham, MI | ||
| 4080Laredo, TX | 0.8091 | 0.8650 |
| Webb, TX | ||
| 4100Las Cruces, NM | 0.8688 | 0.9082 |
| Dona Ana, NM | ||
| 41201 Las Vegas, NV-AZ | 1.1528 | 1.1023 |
| Mohave, AZ | ||
| Clark, NV | ||
| Nye, NV | ||
| 41502 Lawrence, KS | 0.8074 | 0.8637 |
| Douglas, KS | ||
| 4200Lawton, OK | 0.8267 | 0.8778 |
| Comanche, OK | ||
| 4243Lewiston-Auburn, ME | 0.9383 | 0.9573 |
| Androscoggin, ME | ||
| 4280Lexington, KY | 0.8685 | 0.9080 |
| Bourbon, KY | ||
| Clark, KY | ||
| Fayette, KY | ||
| Jessamine, KY | ||
| Madison, KY | ||
| Scott, KY | ||
| Woodford, KY | ||
| 4320Lima, OH | 0.9522 | 0.9670 |
| Allen, OH | ||
| Auglaize, OH | ||
| 4360Lincoln, NE | 1.0033 | 1.0023 |
| Lancaster, NE | ||
| 4400Little Rock-North Little Rock, AR | 0.8923 | 0.9249 |
| Faulkner, AR | ||
| Lonoke, AR | ||
| Pulaski, AR | ||
| Saline, AR | ||
| 4420Longview-Marshall, TX | 0.9113 | 0.9384 |
| Gregg, TX | ||
| Harrison, TX | ||
| Upshur, TX | ||
| 44801 Los Angeles-Long Beach, CA | 1.1832 | 1.1221 |
| Los Angeles, CA | ||
| 45201 Louisville, KY-IN | 0.9242 | 0.9475 |
| Clark, IN | ||
| Floyd, IN | ||
| Harrison, IN | ||
| Scott, IN | ||
| Bullitt, KY | ||
| Jefferson, KY | ||
| Oldham, KY | ||
| 4600Lubbock, TX | 0.8272 | 0.8782 |
| Lubbock, TX | ||
| 4640Lynchburg, VA | 0.9134 | 0.9399 |
| Amherst, VA | ||
| Bedford, VA | ||
| Bedford City, VA | ||
| Campbell, VA | ||
| Lynchburg City, VA | ||
| 4680Macon, GA | 0.8975 | 0.9286 |
| Bibb, GA | ||
| Houston, GA | ||
| Jones, GA | ||
| Peach, GA | ||
| Twiggs, GA | ||
| 4720Madison, WI | 1.0264 | 1.0180 |
| Dane, WI | ||
| 4800Mansfield, OH | 0.9180 | 0.9431 |
| Crawford, OH | ||
| Richland, OH | ||
| 4840Mayaguez, PR | 0.4795 | 0.6045 |
| Anasco, PR | ||
| Cabo Rojo, PR | ||
| Hormigueros, PR | ||
| Mayaguez, PR | ||
| Sabana Grande, PR | ||
| San German, PR | ||
| 4880McAllen-Edinburg-Mission, TX | 0.8381 | 0.8861 |
| Hidalgo, TX | ||
| 4890Medford-Ashland, OR | 1.0772 | 1.0522 |
| Jackson, OR | ||
| 4900Melbourne-Titusville-Palm Bay, FL | 0.9776 | 0.9846 |
| Brevard, Fl | ||
| 49201 Memphis, TN-AR-MS | 0.9009 | 0.9310 |
| Crittenden, AR | ||
| DeSoto, MS | ||
| Fayette, TN | ||
| Shelby, TN | ||
| Tipton, TN | ||
| 49402 Merced, CA | 0.9967 | 0.9977 |
| Merced, CA | ||
| 50001 Miami, FL | 0.9894 | 0.9927 |
| Dade, FL | ||
| 50151 Middlesex-Somerset-Hunterdon, NJ | 1.1366 | 1.0916 |
| Hunterdon, NJ | ||
| Middlesex, NJ | ||
| Somerset, NJ | ||
| 50801 Milwaukee-Waukesha, WI | 0.9988 | 0.9992 |
| Milwaukee, WI | ||
| Ozaukee, WI | ||
| Washington, WI | ||
| Waukesha, WI | ||
| 51201 Minneapolis-St. Paul, MN-WI | 1.1001 | 1.0675 |
| Anoka, MN | ||
| Carver, MN | ||
| Chisago, MN | ||
| Dakota, MN | ||
| Hennepin, MN | ||
| Isanti, MN | ||
| Ramsey, MN | ||
| Scott, MN | ||
| Sherburne, MN | ||
| Washington, MN | ||
| Wright, MN | ||
| Pierce, WI | ||
| St. Croix, WI | ||
| 5140Missoula, MT | 0.8884 | 0.9222 |
| Missoula, MT | ||
| 5160Mobile, AL | 0.7994 | 0.8579 |
| Baldwin, AL | ||
| Mobile, AL | ||
| 5170Modesto, CA | 1.1275 | 1.0856 |
| Stanislaus, CA | ||
| 51901 Monmouth-Ocean, NJ | 1.1083 | 1.0730 |
| Monmouth, NJ | ||
| Ocean, NJ | ||
| 5200Monroe, LA | 0.7922 | 0.8526 |
| Ouachita, LA | ||
| 5240Montgomery, AL | 0.7907 | 0.8514 |
| Autauga, AL | ||
| Elmore, AL | ||
| Montgomery, AL | ||
| 52802 Muncie, IN | 0.8824 | 0.9179 |
| Delaware, IN | ||
| 5330Myrtle Beach, SC | 0.9112 | 0.9383 |
| Horry, SC | ||
| 5345Naples, FL | 0.9790 | 0.9856 |
| Collier, FL | ||
| 53601 Nashville, TN | 0.9855 | 0.9900 |
| Cheatham, TN | ||
| Davidson, TN | ||
| Dickson, TN | ||
| Robertson, TN | ||
| Rutherford TN | ||
| Sumner, TN | ||
| Williamson, TN | ||
| Wilson, TN | ||
| 53801 Nassau-Suffolk, NY | 1.3140 | 1.2056 |
| Nassau, NY | ||
| Suffolk, NY | ||
| 54831 New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT | 1.2468 | 1.1631 |
| Fairfield, CT | ||
| New Haven, CT | ||
| 55232 New London-Norwich, CT | 1.2183 | 1.1448 |
| New London, CT | ||
| 55601 New Orleans, LA | 0.9174 | 0.9427 |
| Jefferson, LA | ||
| Orleans, LA | ||
| Plaquemines, LA | ||
| St. Bernard, LA | ||
| St. Charles, LA | ||
| St. James, LA | ||
| St. John The Baptist, LA | ||
| St. Tammany, LA | ||
| 56001 New York, NY | 1.4018 | 1.2602 |
| Bronx, NY | ||
| Kings, NY | ||
| New York, NY | ||
| Putnam, NY | ||
| Queens, NY | ||
| Richmond, NY | ||
| Rockland, NY | ||
| Westchester, NY | ||
| 56401 Newark, NJ | 1.1518 | 1.1016 |
| Essex, NJ | ||
| Morris, NJ | ||
| Sussex, NJ | ||
| Union, NJ | ||
| Warren, NJ | ||
| 5660Newburgh, NY-PA | 1.1509 | 1.1010 |
| Orange, NY | ||
| Pike, PA | ||
| 57201 Norfolk-Virginia Beach-Newport News, VA-NC | 0.8619 | 0.9032 |
| Currituck, NC | ||
| Chesapeake City, VA | ||
| Gloucester, VA | ||
| Hampton City, VA | ||
| Isle of Wight, VA | ||
| James City, VA | ||
| Mathews, VA | ||
| Newport News City, VA | ||
| Norfolk City, VA | ||
| Poquoson City, VA | ||
| Portsmouth City, VA | ||
| Suffolk City, VA | ||
| Virginia Beach City VA | ||
| Williamsburg City, VA | ||
| York, VA | ||
| 57751 Oakland, CA | 1.5119 | 1.3272 |
| Alameda, CA | ||
| Contra Costa, CA | ||
| 5790Ocala, FL | 0.9728 | 0.9813 |
| Marion, FL | ||
| 5800Odessa-Midland, TX | 0.9327 | 0.9534 |
| Ector, TX | ||
| Midland, TX | ||
| 58801 Oklahoma City, OK | 0.8984 | 0.9293 |
| Canadian, OK | ||
| Cleveland, OK | ||
| Logan, OK | ||
| McClain, OK | ||
| Oklahoma, OK | ||
| Pottawatomie, OK | ||
| 5910Olympia, WA | 1.0963 | 1.0650 |
| Thurston, WA | ||
| 5920Omaha, NE-IA | 0.9745 | 0.9825 |
| Pottawattamie, IA | ||
| Cass, NE | ||
| Douglas, NE | ||
| Sarpy, NE | ||
| Washington, NE | ||
| 59451 Orange County, CA | 1.1492 | 1.0999 |
| Orange, CA | ||
| 59601 Orlando, FL | 0.9654 | 0.9762 |
| Lake, FL | ||
| Orange, FL | ||
| Osceola, FL | ||
| Seminole, FL | ||
| 5990Owensboro, KY | 0.8374 | 0.8856 |
| Daviess, KY | ||
| 60152 Panama City, FL | 0.8855 | 0.9201 |
| Bay, FL | ||
| 6020Parkersburg-Marietta, WV-OH (WV Hospitals) | 0.8039 | 0.8612 |
| Washington, OH | ||
| Wood, WV | ||
| 60202 Parkersburg-Marietta, WV-OH (OH Hospitals) | 0.8820 | 0.9176 |
| Washington, OH | ||
| Wood, WV | ||
| 60802 Pensacola, FL | 0.8855 | 0.9201 |
| Escambia, FL | ||
| Santa Rosa, FL | ||
| 6120Peoria-Pekin, IL | 0.8734 | 0.9115 |
| Peoria, IL | ||
| Tazewell, IL | ||
| Woodford, IL | ||
| 61601 Philadelphia, PA-NJ | 1.0883 | 1.0597 |
| Burlington, NJ | ||
| Camden, NJ | ||
| Gloucester, NJ | ||
| Salem, NJ | ||
| Bucks, PA | ||
| Chester, PA | ||
| Delaware, PA | ||
| Montgomery, PA | ||
| Philadelphia, PA | ||
| 62001 Phoenix-Mesa, AZ | 1.0129 | 1.0088 |
| Maricopa, AZ | ||
| Pinal, AZ | ||
| 6240Pine Bluff, AR | 0.7865 | 0.8483 |
| Jefferson, AR | ||
| 62801 Pittsburgh, PA | 0.8901 | 0.9234 |
| Allegheny, PA | ||
| Beaver, PA | ||
| Butler, PA | ||
| Fayette, PA | ||
| Washington, PA | ||
| Westmoreland, PA | ||
| 63232 Pittsfield, MA | 1.0432 | 1.0294 |
| Berkshire, MA | ||
| 6340Pocatello, ID | 0.9249 | 0.9479 |
| Bannock, ID | ||
| 6360Ponce, PR | 0.4708 | 0.5970 |
| Guayanilla, PR | ||
| Juana Diaz, PR | ||
| Penuelas, PR | ||
| Ponce, PR | ||
| Villalba, PR | ||
| Yauco, PR | ||
| 6403Portland, ME | 0.9949 | 0.9965 |
| Cumberland, ME | ||
| Sagadahoc, ME | ||
| York, ME | ||
| 64401 Portland-Vancouver, OR-WA | 1.1213 | 1.0816 |
| Clackamas, OR | ||
| Columbia, OR | ||
| Multnomah, OR | ||
| Washington, OR | ||
| Yamhill, OR | ||
| Clark, WA | ||
| 64831 Providence-Warwick-Pawtucket, RI | 1.0977 | 1.0659 |
| Bristol, RI | ||
| Kent, RI | ||
| Newport, RI | ||
| Providence, RI | ||
| Washington, RI | ||
| 6520Provo-Orem, UT | 0.9976 | 0.9984 |
| Utah, UT | ||
| 65602 Pueblo, CO | 0.9328 | 0.9535 |
| Pueblo, CO | ||
| 6580Punta Gorda, FL | 0.9510 | 0.9662 |
| Charlotte, FL | ||
| 66002 Racine, WI | 0.9304 | 0.9518 |
| Racine, WI | ||
| 66401 Raleigh-Durham-Chapel Hill, NC | 0.9959 | 0.9972 |
| Chatham, NC | ||
| Durham, NC | ||
| Franklin, NC | ||
| Johnston, NC | ||
| Orange, NC | ||
| Wake, NC | ||
| 6660Rapid City, SD | 0.8806 | 0.9166 |
| Pennington, SD | ||
| 6680Reading, PA | 0.9133 | 0.9398 |
| Berks, PA | ||
| 6690Redding, CA | 1.1352 | 1.0907 |
| Shasta, CA | ||
| 6720Reno, NV | 1.0682 | 1.0462 |
| Washoe, NV | ||
| 6740Richland-Kennewick-Pasco, WA | 1.0609 | 1.0413 |
| Benton, WA | ||
| Franklin, WA | ||
| 6760Richmond-Petersburg, VA | 0.9349 | 0.9549 |
| Charles City County, VA | ||
| Chesterfield, VA | ||
| Colonial Heights City, VA | ||
| Dinwiddie, VA | ||
| Goochland, VA | ||
| Hanover, VA | ||
| Henrico, VA | ||
| Hopewell City, VA | ||
| New Kent, VA | ||
| Petersburg City, VA | ||
| Powhatan, VA | ||
| Prince George, VA | ||
| Richmond City, VA | ||
| 67801 Riverside-San Bernardino, CA | 1.1348 | 1.0905 |
| Riverside, CA | ||
| San Bernardino, CA | ||
| 6800Roanoke, VA | 0.8700 | 0.9090 |
| Botetourt, VA | ||
| Roanoke, VA | ||
| Roanoke City, VA | ||
| Salem City, VA | ||
| 6820Rochester, MN | 1.1739 | 1.1160 |
| Olmsted, MN | ||
| 68401 Rochester, NY | 0.9430 | 0.9606 |
| Genesee, NY | ||
| Livingston, NY | ||
| Monroe, NY | ||
| Ontario, NY | ||
| Orleans, NY | ||
| Wayne, NY | ||
| 6880Rockford, IL | 0.9666 | 0.9770 |
| Boone, IL | ||
| Ogle, IL | ||
| Winnebago, IL | ||
| 6895Rocky Mount, NC | 0.9076 | 0.9358 |
| Edgecombe, NC | ||
| Nash, NC | ||
| 69201 Sacramento, CA | 1.1845 | 1.1229 |
| El Dorado, CA | ||
| Placer, CA | ||
| Sacramento, CA | ||
| 6960Saginaw-Bay City-Midland, MI | 1.0032 | 1.0022 |
| Bay, MI | ||
| Midland, MI | ||
| Saginaw, MI | ||
| 6980St. Cloud, MN | 0.9679 | 0.9779 |
| Benton, MN | ||
| Stearns, MN | ||
| 70002 St. Joseph, MO | 0.8056 | 0.8624 |
| Andrew, MO | ||
| Buchanan, MO | ||
| 70401 St. Louis, MO-IL | 0.9033 | 0.9327 |
| Clinton, IL | ||
| Jersey, IL | ||
| Madison, IL | ||
| Monroe, IL | ||
| St. Clair, IL | ||
| Franklin, MO | ||
| Jefferson, MO | ||
| Lincoln, MO | ||
| St. Charles, MO | ||
| St. Louis, MO | ||
| St. Louis City, MO | ||
| Warren, MO | ||
| 7080Salem, OR | 1.0482 | 1.0328 |
| Marion, OR | ||
| Polk, OR | ||
| 7120Salinas, CA | 1.4339 | 1.2799 |
| Monterey, CA | ||
| 71601 Salt Lake City-Ogden, UT | 0.9913 | 0.9940 |
| Davis, UT | ||
| Salt Lake, UT | ||
| Weber, UT | ||
| 7200San Angelo, TX | 0.8535 | 0.8972 |
| Tom Green, TX | ||
| 72401 San Antonio, TX | 0.8870 | 0.9212 |
| Bexar, TX | ||
| Comal, TX | ||
| Guadalupe, TX | ||
| Wilson, TX | ||
| 73201 San Diego, CA | 1.1147 | 1.0772 |
| San Diego, CA | ||
| 73601 San Francisco, CA | 1.4514 | 1.2906 |
| Marin, CA | ||
| San Francisco, CA | ||
| San Mateo, CA | ||
| 74001 San Jose, CA | 1.4626 | 1.2974 |
| Santa Clara, CA | ||
| 74401 San Juan-Bayamon, PR | 0.4909 | 0.6143 |
| Aguas Buenas, PR | ||
| Barceloneta, PR | ||
| Bayamon, PR | ||
| Canovanas, PR | ||
| Carolina, PR | ||
| Catano, PR | ||
| Ceiba, PR | ||
| Comerio, PR | ||
| Corozal, PR | ||
| Dorado, PR | ||
| Fajardo, PR | ||
| Florida, PR | ||
| Guaynabo, PR | ||
| Humacao, PR | ||
| Juncos, PR | ||
| Los Piedras, PR | ||
| Loiza, PR | ||
| Luguillo, PR | ||
| Manati, PR | ||
| Morovis, PR | ||
| Naguabo, PR | ||
| Naranjito, PR | ||
| Rio Grande, PR | ||
| San Juan, PR | ||
| Toa Alta, PR | ||
| Toa Baja, PR | ||
| Trujillo Alto, PR | ||
| Vega Alta, PR | ||
| Vega Baja, PR | ||
| Yabucoa, PR | ||
| 7460San Luis Obispo-Atascadero-Paso Robles, CA | 1.1429 | 1.0958 |
| San Luis Obispo, CA | ||
| 7480Santa Barbara-Santa Maria-Lompoc, CA | 1.0441 | 1.0300 |
| Santa Barbara, CA | ||
| 7485Santa Cruz-Watsonville, CA | 1.2942 | 1.1932 |
| Santa Cruz, CA | ||
| 7490Santa Fe, NM | 1.0653 | 1.0443 |
| Los Alamos, NM | ||
| Santa Fe, NM | ||
| 7500Santa Rosa, CA | 1.2877 | 1.1891 |
| Sonoma, CA | ||
| 7510Sarasota-Bradenton, FL | 0.9971 | 0.9980 |
| Manatee, FL | ||
| Sarasota, FL | ||
| 7520Savannah, GA | 0.9488 | 0.9646 |
| Bryan, GA | ||
| Chatham, GA | ||
| Effingham, GA | ||
| 7560Scranton-Wilkes-Barre-Hazleton, PA | 0.8412 | 0.8883 |
| Columbia, PA | ||
| Lackawanna, PA | ||
| Luzerne, PA | ||
| Wyoming, PA | ||
| 76001 Seattle-Bellevue-Everett, WA | 1.1562 | 1.1045 |
| Island, WA | ||
| King, WA | ||
| Snohomish, WA | ||
| 76102 Sharon, PA | 0.8378 | 0.8859 |
| Mercer, PA | ||
| 76202 Sheboygan, WI | 0.9304 | 0.9518 |
| Sheboygan, WI | ||
| 7640Sherman-Denison, TX | 0.9700 | 0.9794 |
| Grayson, TX | ||
| 7680Shreveport-Bossier City, LA | 0.9083 | 0.9363 |
| Bossier, LA | ||
| Caddo, LA | ||
| Webster, LA | ||
| 7720Sioux City, IA-NE | 0.8993 | 0.9299 |
| Woodbury, IA | ||
| Dakota, NE | ||
| 7760Sioux Falls, SD | 0.9309 | 0.9521 |
| Lincoln, SD | ||
| Minnehaha, SD | ||
| 7800South Bend, IN | 0.9821 | 0.9877 |
| St. Joseph, IN | ||
| 7840Spokane, WA | 1.0901 | 1.0609 |
| Spokane, WA | ||
| 7880Springfield, IL | 0.8944 | 0.9264 |
| Menard, IL | ||
| Sangamon, IL | ||
| 7920Springfield, MO | 0.8457 | 0.8916 |
| Christian, MO | ||
| Greene, MO | ||
| Webster, MO | ||
| 8003Springfield, MA | 1.0543 | 1.0369 |
| Hampden, MA | ||
| Hampshire, MA | ||
| 8050State College, PA | 0.8740 | 0.9119 |
| Centre, PA | ||
| 80802 Steubenville-Weirton, OH-WV (OH Hospitals) | 0.8820 | 0.9176 |
| Jefferson, OH | ||
| Brooke, WV | ||
| Hancock, WV | ||
| 8080Steubenville-Weirton, OH-WV (WV Hospitals) | 0.8398 | 0.8873 |
| Jefferson, OH | ||
| Brooke, WV | ||
| Hancock, WV | ||
| 8120Stockton-Lodi, CA | 1.0404 | 1.0275 |
| San Joaquin, CA | ||
| 81402 Sumter, SC | 0.8498 | 0.8945 |
| Sumter, SC | ||
| 8160Syracuse, NY | 0.9412 | 0.9594 |
| Cayuga, NY | ||
| Madison, NY | ||
| Onondaga, NY | ||
| Oswego, NY | ||
| 8200Tacoma, WA | 1.1116 | 1.0751 |
| Pierce, WA | ||
| 82402 Tallahassee, FL | 0.8855 | 0.9201 |
| Gadsden, FL | ||
| Leon, FL | ||
| 82801 Tampa-St. Petersburg-Clearwater, FL | 0.9103 | 0.9377 |
| Hernando, FL | ||
| Hillsborough, FL | ||
| Pasco, FL | ||
| Pinellas, FL | ||
| 83202 Terre Haute, IN | 0.8824 | 0.9179 |
| Clay, IN | ||
| Vermillion, IN | ||
| Vigo, IN | ||
| 8360Texarkana, AR-Texarkana, TX | 0.8150 | 0.8693 |
| Miller, AR | ||
| Bowie, TX | ||
| 8400Toledo, OH | 0.9397 | 0.9583 |
| Fulton, OH | ||
| Lucas, OH | ||
| Wood, OH | ||
| 8440Topeka, KS | 0.9108 | 0.9380 |
| Shawnee, KS | ||
| 8480Trenton, NJ | 1.0517 | 1.0351 |
| Mercer, NJ | ||
| 85202 Tucson, AZ | 0.9270 | 0.9494 |
| Pima, AZ | ||
| 8560Tulsa, OK | 0.9185 | 0.9434 |
| Creek, OK | ||
| Osage, OK | ||
| Rogers, OK | ||
| Tulsa, OK | ||
| Wagoner, OK | ||
| 8600Tuscaloosa, AL | 0.8212 | 0.8738 |
| Tuscaloosa, AL | ||
| 8640Tyler, TX | 0.9404 | 0.9588 |
| Smith, TX | ||
| 86802 Utica-Rome, NY | 0.8526 | 0.8965 |
| Herkimer, NY | ||
| Oneida, NY | ||
| 8720Vallejo-Fairfield-Napa, CA | 1.3425 | 1.2235 |
| Napa, CA | ||
| Solano, CA | ||
| 8735Ventura, CA | 1.1064 | 1.0717 |
| Ventura, CA | ||
| 8750Victoria, TX | 0.8184 | 0.8718 |
| Victoria, TX | ||
| 8760Vineland-Millville-Bridgeton, NJ | 1.0405 | 1.0276 |
| Cumberland, NJ | ||
| 87802 Visalia-Tulare-Porterville, CA | 0.9967 | 0.9977 |
| Tulare, CA | ||
| 8800Waco, TX | 0.8394 | 0.8870 |
| McLennan, TX | ||
| 88401 Washington, DC-MD-VA-WV | 1.0904 | 1.0611 |
| District of Columbia, DC | ||
| Calvert, MD | ||
| Charles, MD | ||
| Frederick, MD | ||
| Montgomery, MD | ||
| Prince Georges, MD | ||
| Alexandria City, VA | ||
| Arlington, VA | ||
| Clarke, VA | ||
| Culpeper, VA | ||
| Fairfax, VA | ||
| Fairfax City, VA | ||
| Falls Church City, VA | ||
| Fauquier, VA | ||
| Fredericksburg City, VA | ||
| King George, VA | ||
| Loudoun, VA | ||
| Manassas City, VA | ||
| Manassas Park City, VA | ||
| Prince William, VA | ||
| Spotsylvania, VA | ||
| Stafford, VA | ||
| Warren, VA | ||
| Berkeley, WV | ||
| Jefferson, WV | ||
| 89202 Waterloo-Cedar Falls, IA | 0.8416 | 0.8886 |
| Black Hawk, IA | ||
| 8940Wausau, WI | 0.9783 | 0.9851 |
| Marathon, WI | ||
| 89601 West Palm Beach-Boca Raton, FL | 0.9798 | 0.9861 |
| Palm Beach, FL | ||
| 90002 Wheeling, WV-OH (WV Hospitals) | 0.8018 | 0.8596 |
| Belmont, OH | ||
| Marshall, WV | ||
| Ohio, WV | ||
| 90002 Wheeling, WV-OH (OH Hospitals) | 0.8820 | 0.9176 |
| Belmont, OH | ||
| Marshall, WV | ||
| Ohio, WV | ||
| 9040Wichita, KS | 0.9238 | 0.9472 |
| Butler, KS | ||
| Harvey, KS | ||
| Sedgwick, KS | ||
| 9080Wichita Falls, TX | 0.8341 | 0.8832 |
| Archer, TX | ||
| Wichita, TX | ||
| 91402 Williamsport, PA | 0.8378 | 0.8859 |
| Lycoming, PA | ||
| 9160Wilmington-Newark, DE-MD | 1.0882 | 1.0596 |
| New Castle, DE | ||
| Cecil, MD | ||
| 9200Wilmington, NC | 0.9563 | 0.9699 |
| New Hanover, NC | ||
| Brunswick, NC | ||
| 92602 Yakima, WA | 1.0388 | 1.0264 |
| Yakima, WA | ||
| 92702 Yolo, CA | 0.9967 | 0.9977 |
| Yolo, CA | ||
| 9280York, PA | 0.9119 | 0.9388 |
| York, PA | ||
| 9320Youngstown-Warren, OH | 0.9214 | 0.9455 |
| Columbiana, OH | ||
| Mahoning, OH | ||
| Trumbull, OH | ||
| 9340Yuba City, CA | 1.0196 | 1.0134 |
| Sutter, CA | ||
| Yuba, CA | ||
| 93602 Yuma, AZ | 0.9270 | 0.9494 |
| Yuma, AZ | ||
| 1 Large Urban Area | ||
| 2 Hospitals geographically located in the area are assigned the statewide rural wage index for FY 2004. | ||
33. On page 45576, in Table 4B-Wage Index and Capital Geographic Adjustment Factor (GAF) for Rural Areas, the table is corrected to read as follows:
| Nonurban area | Wage index | GAF |
|---|---|---|
| Alabama | 0.7492 | 0.8206 |
| Alaska | 1.1886 | 1.1256 |
| Arizona | 0.9270 | 0.9494 |
| Arkansas | 0.7734 | 0.8386 |
| California | 0.9967 | 0.9977 |
| Colorado | 0.9328 | 0.9535 |
| Connecticut | 1.2183 | 1.1448 |
| Delaware | 0.9595 | 0.9721 |
| Florida | 0.8855 | 0.9201 |
| Georgia | 0.8595 | 0.9015 |
| Hawaii | 0.9958 | 0.9971 |
| Idaho | 0.8974 | 0.9285 |
| Illinois | 0.8254 | 0.8769 |
| Indiana | 0.8824 | 0.9179 |
| Iowa | 0.8416 | 0.8886 |
| Kansas | 0.8074 | 0.8637 |
| Kentucky | 0.7974 | 0.8564 |
| Louisiana | 0.7467 | 0.8187 |
| Maine | 0.8812 | 0.9170 |
| Maryland | 0.9125 | 0.9392 |
| Massachusetts | 1.0432 | 1.0294 |
| Michigan | 0.8877 | 0.9217 |
| Minnesota | 0.9345 | 0.9547 |
| Mississippi | 0.7778 | 0.8419 |
| Missouri | 0.8056 | 0.8624 |
| Montana | 0.8800 | 0.9162 |
| Nebraska | 0.8822 | 0.9177 |
| Nevada | 0.9806 | 0.9867 |
| New Hampshire | 1.0030 | 1.0021 |
| New Jersey1 | ||
| New Mexico | 0.8270 | 0.8780 |
| New York | 0.8526 | 0.8965 |
| North Carolina | 0.8456 | 0.8915 |
| North Dakota | 0.7778 | 0.8419 |
| Ohio | 0.8820 | 0.9176 |
| Oklahoma | 0.7537 | 0.8240 |
| Oregon | 0.9994 | 0.9996 |
| Pennsylvania | 0.8378 | 0.8859 |
| Puerto Rico | 0.4018 | 0.5356 |
| Rhode Island1 | ||
| South Carolina | 0.8498 | 0.8945 |
| South Dakota | 0.8195 | 0.8726 |
| Tennessee | 0.7886 | 0.8499 |
| Texas | 0.7780 | 0.8421 |
| Utah | 0.8974 | 0.9285 |
| Vermont | 0.9534 | 0.9678 |
| Virginia | 0.8498 | 0.8945 |
| Washington | 1.0388 | 1.0264 |
| West Virginia | 0.8018 | 0.8596 |
| Wisconsin | 0.9304 | 0.9518 |
| Wyoming | 0.9110 | 0.9382 |
| 1 All counties within the State are classified as urban. | ||
34. On pages 45576 through 45577, in Table 4C-Wage Index and Capital Geographic Adjustment Factor (GAF) for Hospitals that are Reclassified, the table is corrected to read as follows:
| Area | Wage index | GAF |
|---|---|---|
| Akron, OH | 0.9442 | 0.9614 |
| Albany, GA | 1.0664 | 1.0450 |
| Albuquerque, NM (NM hospitals) | 0.9300 | 0.9515 |
| Albuquerque, NM (CO hospitals) | 0.9328 | 0.9535 |
| Alexandria, LA | 0.8037 | 0.8610 |
| Allentown-Bethlehem-Easton, PA | 0.9721 | 0.9808 |
| Altoona, PA | 0.8827 | 0.9181 |
| Amarillo, TX | 0.8858 | 0.9203 |
| Anchorage, AK | 1.2351 | 1.1556 |
| Ann Arbor, MI | 1.0846 | 1.0572 |
| Anniston, AL | 0.7975 | 0.8565 |
| Asheville, NC | 0.9477 | 0.9639 |
| Athens, GA | 0.9564 | 0.9699 |
| Atlanta, GA | 0.9990 | 0.9993 |
| Atlantic-Cape May, NJ | 1.0531 | 1.0361 |
| Augusta-Aiken, GA-SC | 0.9433 | 0.9608 |
| Austin-San Marcos, TX | 0.9609 | 0.9731 |
| Bangor, ME | 0.9904 | 0.9934 |
| Barnstable-Yarmouth, MA | 1.2720 | 1.1791 |
| Baton Rouge, LA | 0.8406 | 0.8879 |
| Bellingham, WA | 1.1305 | 1.0876 |
| Benton Harbor, MI | 0.8935 | 0.9258 |
| Bergen-Passaic, NJ | 1.1731 | 1.1155 |
| Billings, MT | 0.8961 | 0.9276 |
| Biloxi-Gulfport-Pascagoula, MS | 0.8407 | 0.8880 |
| Binghamton, NY | 0.8428 | 0.8895 |
| Birmingham, AL | 0.9212 | 0.9453 |
| Bismarck, ND | 0.8033 | 0.8607 |
| Bloomington-Normal, IL | 0.8832 | 0.9185 |
| Boise City, ID | 0.9232 | 0.9467 |
| Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH | 1.1233 | 1.0829 |
| Burlington, VT | 0.9332 | 0.9538 |
| Caguas, PR | 0.4201 | 0.5522 |
| Casper, WY | 0.9209 | 0.9451 |
| Champaign-Urbana, IL | 0.9460 | 0.9627 |
| Charleston-North Charleston, SC | 0.9332 | 0.9538 |
| Charleston, WV (WV Hospitals) | 0.8568 | 0.8996 |
| Charleston, WV (OH Hospitals) | 0.8820 | 0.9176 |
| Charlotte-Gastonia-Rock Hill, NC-SC | 0.9730 | 0.9814 |
| Charlottesville, VA | 0.9877 | 0.9916 |
| Chattanooga, TN-GA | 0.9086 | 0.9365 |
| Chicago, IL | 1.0752 | 1.0509 |
| Cincinnati, OH-KY-IN | 0.9413 | 0.9594 |
| Clarksville-Hopkinsville, TN-KY | 0.8354 | 0.8841 |
| Cleveland-Lorain-Elyria, OH | 0.9671 | 0.9774 |
| Columbia, MO | 0.8557 | 0.8988 |
| Columbia, SC | 0.8902 | 0.9234 |
| Columbus, GA-AL | 0.8595 | 0.9015 |
| Columbus, OH | 0.9648 | 0.9758 |
| Corpus Christi, TX | 0.8521 | 0.8962 |
| Corvallis, OR | 1.1241 | 1.0834 |
| Dallas, TX | 0.9974 | 0.9982 |
| Davenport-Moline-Rock Island, IA-IL | 0.8985 | 0.9293 |
| Dayton-Springfield, OH | 0.9529 | 0.9675 |
| Decatur, AL | 0.8580 | 0.9004 |
| Denver, CO | 1.0664 | 1.0450 |
| Des Moines, IA | 0.9106 | 0.9379 |
| Detroit, MI | 1.0101 | 1.0069 |
| Dothan, AL | 0.7765 | 0.8409 |
| Duluth-Superior, MN-WI | 1.0171 | 1.0117 |
| Elkhart-Goshen, IN | 0.9554 | 0.9692 |
| Erie, PA | 0.8526 | 0.8965 |
| Eugene-Springfield, OR | 1.0977 | 1.0659 |
| Fargo-Moorhead, ND-MN | 0.9501 | 0.9656 |
| Fayetteville, NC | 0.8817 | 0.9174 |
| Flagstaff, AZ-UT | 1.1079 | 1.0727 |
| Flint, MI | 1.0703 | 1.0476 |
| Florence, AL | 0.7797 | 0.8433 |
| Fort Collins-Loveland, CO | 1.0148 | 1.0101 |
| Ft. Lauderdale, FL | 1.0479 | 1.0326 |
| Fort Pierce-Port St. Lucie, FL | 1.0124 | 1.0085 |
| Fort Smith, AR-OK | 0.8077 | 0.8639 |
| Fort Walton Beach, FL | 0.8804 | 0.9165 |
| Forth Worth-Arlington, TX | 0.9359 | 0.9556 |
| Gadsden, AL | 0.8229 | 0.8750 |
| Gainesville, FL | 0.9693 | 0.9789 |
| Grand Forks, ND-MN | 0.8636 | 0.9045 |
| Grand Junction, CO | 0.9921 | 0.9946 |
| Grand Rapids-Muskegon-Holland, MI | 0.9469 | 0.9633 |
| Great Falls, MT | 0.8918 | 0.9246 |
| Greeley, CO | 0.9453 | 0.9622 |
| Green Bay, WI | 0.9518 | 0.9667 |
| Greensboro-Winston-Salem-High Point, NC | 0.9058 | 0.9345 |
| Greenville, NC | 0.9167 | 0.9422 |
| Hamilton-Middletown, OH | 0.9214 | 0.9455 |
| Harrisburg-Lebanon-Carlisle, PA | 0.9164 | 0.9420 |
| Hartford, CT | 1.1359 | 1.0912 |
| Hickory-Morganton-Lenoir, NC | 0.9113 | 0.9384 |
| Honolulu, HI | 1.1116 | 1.0751 |
| Houston, TX | 0.9834 | 0.9886 |
| Huntington-Ashland, WV-KY-OH | 0.9076 | 0.9358 |
| Huntsville, AL | 0.9120 | 0.9389 |
| Indianapolis, IN | 0.9916 | 0.9942 |
| Iowa City, IA | 0.9404 | 0.9588 |
| Jackson, MS | 0.8399 | 0.8874 |
| Jackson, TN | 0.8819 | 0.9175 |
| Jacksonville, FL | 0.9563 | 0.9699 |
| Johnson City-Kingsport-Bristol, TN-VA (VA Hospitals) | 0.8498 | 0.8945 |
| Johnson City-Kingsport-Bristol, TN-VA (KY Hospitals) | 0.8256 | 0.8770 |
| Jonesboro, AR (AR Hospitals) | 0.7809 | 0.8442 |
| Jonesboro, AR (MO Hospitals) | 0.8056 | 0.8624 |
| Joplin, MO | 0.8558 | 0.8989 |
| Kalamazoo-Battlecreek, MI | 1.0500 | 1.0340 |
| Kansas City, KS-MO | 0.9715 | 0.9804 |
| Knoxville, TN | 0.8820 | 0.9176 |
| Kokomo, IN | 0.9045 | 0.9336 |
| Lafayette, LA | 0.8225 | 0.8748 |
| Lakeland-Winter Haven, FL | 0.8855 | 0.9201 |
| Las Vegas, NV-AZ | 1.1401 | 1.0939 |
| Lawton, OK | 0.8140 | 0.8686 |
| Lexington, KY | 0.8475 | 0.8929 |
| Lima, OH | 0.9522 | 0.9670 |
| Lincoln, NE | 0.9597 | 0.9722 |
| Little Rock-North Little Rock, AR | 0.8923 | 0.9249 |
| Longview-Marshall, TX | 0.8943 | 0.9264 |
| Los Angeles-Long Beach, CA | 1.1832 | 1.1221 |
| Louisville, KY-IN | 0.9118 | 0.9387 |
| Lubbock, TX | 0.8272 | 0.8782 |
| Lynchburg, VA | 0.8941 | 0.9262 |
| Macon, GA | 0.8975 | 0.9286 |
| Madison, WI | 1.0117 | 1.0080 |
| Medford-Ashland, OR | 1.0425 | 1.0289 |
| Melbourne-Titusville-Palm Bay, FL | 0.9776 | 0.9846 |
| Memphis, TN-AR-MS | 0.8786 | 0.9152 |
| Miami, FL | 0.9894 | 0.9927 |
| Milwaukee-Waukesha, WI | 0.9829 | 0.9883 |
| Minneapolis-St. Paul, MN-WI | 1.1001 | 1.0675 |
| Missoula, MT | 0.8884 | 0.9222 |
| Mobile, AL | 0.7994 | 0.8579 |
| Modesto, CA | 1.1148 | 1.0773 |
| Monmouth-Ocean, NJ | 1.1083 | 1.0730 |
| Monroe, LA | 0.7922 | 0.8526 |
| Montgomery, AL | 0.7907 | 0.8514 |
| Nashville, TN | 0.9591 | 0.9718 |
| New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT | 1.2468 | 1.1631 |
| New Orleans, LA | 0.9174 | 0.9427 |
| New York, NY | 1.4018 | 1.2602 |
| Newark, NJ | 1.1518 | 1.1016 |
| Newburgh, NY-PA | 1.1048 | 1.0706 |
| Oakland, CA | 1.5119 | 1.3272 |
| Odessa-Midland, TX | 0.9076 | 0.9358 |
| Oklahoma City, OK | 0.8984 | 0.9293 |
| Olympia, WA | 1.0963 | 1.0650 |
| Omaha, NE-IA | 0.9745 | 0.9825 |
| Orange County, CA | 1.1492 | 1.0999 |
| Orlando, FL | 0.9654 | 0.9762 |
| Peoria-Pekin, IL | 0.8734 | 0.9115 |
| Philadelphia, PA-NJ | 1.0883 | 1.0597 |
| Phoenix-Mesa, AZ | 1.0129 | 1.0088 |
| Pittsburgh, PA | 0.8901 | 0.9234 |
| Pittsfield, MA | 0.9795 | 0.9859 |
| Pocatello, ID | 0.9249 | 0.9479 |
| Portland, ME | 0.9658 | 0.9765 |
| Portland-Vancouver, OR-WA | 1.1213 | 1.0816 |
| Provo-Orem, UT | 0.9976 | 0.9984 |
| Raleigh-Durham-Chapel Hill, NC | 0.9725 | 0.9811 |
| Rapid City, SD | 0.8806 | 0.9166 |
| Reading, PA | 0.8998 | 0.9302 |
| Redding, CA | 1.1352 | 1.0907 |
| Reno, NV | 1.0682 | 1.0462 |
| Richland-Kennewick-Pasco, WA (WA Hospitals) | 1.0388 | 1.0264 |
| Richland-Kennewick-Pasco, WA (ID Hospitals) | 1.0215 | 1.0147 |
| Richmond-Petersburg, VA | 0.9349 | 0.9549 |
| Roanoke, VA | 0.8700 | 0.9090 |
| Rochester, MN | 1.1739 | 1.1160 |
| Rockford, IL | 0.9441 | 0.9614 |
| Sacramento, CA | 1.1845 | 1.1229 |
| Saginaw-Bay City-Midland, MI | 0.9751 | 0.9829 |
| St. Cloud, MN | 0.9679 | 0.9779 |
| St. Joseph, MO | 0.8578 | 0.9003 |
| St. Louis, MO-IL | 0.9033 | 0.9327 |
| Salinas, CA | 1.4339 | 1.2799 |
| Salt Lake City-Ogden, UT | 0.9913 | 0.9940 |
| San Antonio, TX | 0.8870 | 0.9212 |
| Santa Fe, NM | 0.9524 | 0.9672 |
| Santa Rosa, CA | 1.2877 | 1.1891 |
| Sarasota-Bradenton, FL | 0.9971 | 0.9980 |
| Savannah, GA | 0.9488 | 0.9646 |
| Seattle-Bellevue-Everett, WA | 1.1562 | 1.1045 |
| Sherman-Denison, TX | 0.9203 | 0.9447 |
| Shreveport-Bossier City, LA | 0.8937 | 0.9259 |
| Sioux City, IA-NE (NE Hospitals) | 0.8822 | 0.9177 |
| Sioux City, IA-NE (SD Hospitals) | 0.8785 | 0.9151 |
| Sioux Falls, SD | 0.9184 | 0.9434 |
| South Bend, IN | 0.9715 | 0.9804 |
| Spokane, WA | 1.0717 | 1.0486 |
| Springfield, IL | 0.8944 | 0.9264 |
| Springfield, MO | 0.8259 | 0.8772 |
| Syracuse, NY | 0.9412 | 0.9594 |
| Tampa-St. Petersburg-Clearwater, FL | 0.9103 | 0.9377 |
| Texarkana, AR-Texarkana, TX | 0.7969 | 0.8560 |
| Toledo, OH | 0.9397 | 0.9583 |
| Topeka, KS | 0.9108 | 0.9380 |
| Tucson, AZ | 0.9270 | 0.9494 |
| Tulsa, OK | 0.8938 | 0.9260 |
| Tuscaloosa, AL | 0.8101 | 0.8657 |
| Tyler, TX | 0.9155 | 0.9413 |
| Vallejo-Fairfield-Napa, CA | 1.3425 | 1.2235 |
| Victoria, TX | 0.8184 | 0.8718 |
| Waco, TX | 0.8394 | 0.8870 |
| Washington, DC-MD-VA-WV | 1.0904 | 1.0611 |
| Waterloo-Cedar Falls, IA | 0.8416 | 0.8886 |
| Wausau, WI | 0.9783 | 0.9851 |
| West Palm Beach-Boca Raton, FL | 0.9798 | 0.9861 |
| Wichita, KS | 0.9004 | 0.9307 |
| Wichita Falls, TX | 0.8341 | 0.8832 |
| Wilmington-Newark, DE-MD | 1.0710 | 1.0481 |
| Wilmington, NC | 0.9424 | 0.9602 |
| Youngstown-Warren, OH | 0.9214 | 0.9455 |
| Rural Florida | 0.8699 | 0.9090 |
| Rural Illinois (IA Hospitals) | 0.8416 | 0.8886 |
| Rural Illinois (MO Hospitals) | 0.8254 | 0.8769 |
| Rural Kentucky | 0.7974 | 0.8564 |
| Rural Louisiana | 0.7467 | 0.8187 |
| Rural Minnesota | 0.9345 | 0.9547 |
| Rural Missouri | 0.8056 | 0.8624 |
| Rural Nebraska | 0.8822 | 0.9177 |
| Rural Nevada | 0.9276 | 0.9498 |
| Rural New Hampshire | 1.0030 | 1.0021 |
| Rural Texas | 0.7780 | 0.8421 |
| Rural Washington | 1.0388 | 1.0264 |
| Rural Wyoming | 0.8984 | 0.9293 |
35. On pages 45578, in Table 4F-Puerto Rico Wage Index and Capital Geographic Adjustment Factor (GAF), the table is corrected to read as follows:
| Area | Wage index | GAF | Wage index- Reclassified hospitals | GAF- Reclassified hospitals |
|---|---|---|---|---|
| Aguadilla, PR | 0.9170 | 0.9424 | ||
| Arecibo, PR | 0.8847 | 0.9195 | ||
| Caguas, PR | 0.8946 | 0.9266 | 0.8946 | 0.9266 |
| Mayaguez, PR | 1.0211 | 1.0144 | ||
| Ponce, PR | 1.0026 | 1.0018 | ||
| San Juan-Bayamon, PR | 1.0453 | 1.0308 | ||
| Rural Puerto Rico | 0.8557 | 0.8988 |
36. On pages 45578 through 45584, in Table 4G, Pre-Reclassified Wage Index for Urban Areas, the table is corrected to read as follows:
| Urban area (Constituent counties) | Wage index |
|---|---|
| 0040Abilene, TX | 0.7780 |
| Taylor, TX | |
| 0060Aguadilla, PR | 0.4306 |
| Aguada, PR | |
| Aguadilla, PR | |
| Moca, PR | |
| 0080Akron, OH | 0.9246 |
| Portage, OH | |
| Summit, OH | |
| 0120Albany, GA | 1.0863 |
| Dougherty, GA | |
| Lee, GA | |
| 0160Albany-Schenectady-Troy, NY | 0.8526 |
| Albany, NY | |
| Montgomery, NY | |
| Rensselaer, NY | |
| Saratoga, NY | |
| Schenectady, NY | |
| Schoharie, NY | |
| 0200Albuquerque, NM | 0.9300 |
| Bernalillo, NM | |
| Sandoval, NM | |
| Valencia, NM | |
| 0220Alexandria, LA | 0.8019 |
| Rapides, LA | |
| 0240Allentown-Bethlehem-Easton, PA | 0.9721 |
| Carbon, PA | |
| Lehigh, PA | |
| Northampton, PA | |
| 0280Altoona, PA | 0.8806 |
| Blair, PA | |
| 0320Amarillo, TX | 0.8986 |
| Potter, TX | |
| Randall, TX | |
| 0380Anchorage, AK | 1.2216 |
| Anchorage, AK | |
| 0440Ann Arbor, MI | 1.1074 |
| Lenawee, MI | |
| Livingston, MI | |
| Washtenaw, MI | |
| 0450Anniston, AL | 0.8090 |
| Calhoun, AL | |
| 0460Appleton-Oshkosh-Neenah, WI | 0.9304 |
| Calumet, WI | |
| Outagamie, WI | |
| Winnebago, WI | |
| 0470Arecibo, PR | 0.4155 |
| Arecibo, PR | |
| Camuy, PR | |
| Hatillo, PR | |
| 0480Asheville, NC | 0.9720 |
| Buncombe, NC | |
| Madison, NC | |
| 0500Athens, GA | 0.9818 |
| Clarke, GA | |
| Madison, GA | |
| Oconee, GA | |
| 0520Atlanta, GA | 1.0130 |
| Barrow, GA | |
| Bartow, GA | |
| Carroll, GA | |
| Cherokee, GA | |
| Clayton, GA | |
| Cobb, GA | |
| Coweta, GA | |
| DeKalb, GA | |
| Douglas, GA | |
| Fayette, GA | |
| Forsyth, GA | |
| Fulton, GA | |
| Gwinnett, GA | |
| Henry, GA | |
| Newton, GA | |
| Paulding, GA | |
| Pickens, GA | |
| Rockdale, GA | |
| Spalding, GA | |
| Walton, GA | |
| 0560Atlantic-Cape May, NJ | 1.0795 |
| Atlantic, NJ | |
| Cape May, NJ | |
| 0580Auburn-Opelika, AL | 0.8494 |
| Lee, AL | |
| 0600Augusta-Aiken, GA-SC | 0.9625 |
| Columbia, GA | |
| McDuffie, GA | |
| Richmond, GA | |
| Aiken, SC | |
| Edgefield, SC | |
| 0640Austin-San Marcos, TX | 0.9609 |
| Bastrop, TX | |
| Caldwell, TX | |
| Hays, TX | |
| Travis, TX | |
| Williamson, TX | |
| 0680Bakersfield, CA | 0.9967 |
| Kern, CA | |
| 0720Baltimore, MD | 0.9919 |
| Anne Arundel, MD | |
| Baltimore, MD | |
| Baltimore City, MD | |
| Carroll, MD | |
| Harford, MD | |
| Howard, MD | |
| Queen Anne's, MD | |
| 0733Bangor, ME | 0.9904 |
| Penobscot, ME | |
| 0743Barnstable-Yarmouth, MA | 1.2956 |
| Barnstable, MA | |
| 0760Baton Rouge, LA | 0.8406 |
| Ascension, LA | |
| East Baton Rouge, LA | |
| Livingston, LA | |
| West Baton Rouge, LA | |
| 0840Beaumont-Port Arthur, TX | 0.8424 |
| Hardin, TX | |
| Jefferson, TX | |
| Orange, TX | |
| 0860Bellingham, WA | 1.1757 |
| Whatcom, WA | |
| 0870Benton Harbor, MI | 0.8935 |
| Berrien, MI | |
| 0875Bergen-Passaic, NJ | 1.1692 |
| Bergen, NJ | |
| Passaic, NJ | |
| 0880Billings, MT | 0.8961 |
| Yellowstone, MT | |
| 0920Biloxi-Gulfport-Pascagoula, MS | 0.9029 |
| Hancock, MS | |
| Harrison, MS | |
| Jackson, MS | |
| 0960Binghamton, NY | 0.8526 |
| Broome, NY | |
| Tioga, NY | |
| 1000Birmingham, AL | 0.9212 |
| Blount, AL | |
| Jefferson, AL | |
| St. Clair, AL | |
| Shelby, AL | |
| 1010Bismarck, ND | 0.7965 |
| Burleigh, ND | |
| Morton, ND | |
| 1020Bloomington, IN | 0.8824 |
| Monroe, IN | |
| 1040Bloomington-Normal, IL | 0.8832 |
| McLean, IL | |
| 1080Boise City, ID | 0.9209 |
| Ada, ID | |
| Canyon, ID | |
| 1123Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH (NH Hospitals) | 1.1233 |
| Bristol, MA | |
| Essex, MA | |
| Middlesex, MA | |
| Norfolk, MA | |
| Plymouth, MA | |
| Suffolk, MA | |
| Worcester, MA | |
| Hillsborough, NH | |
| Merrimack, NH | |
| Rockingham, NH | |
| Strafford, NH | |
| 1125Boulder-Longmont, CO | 1.0049 |
| Boulder, CO | |
| 1145Brazoria, TX | 0.8137 |
| Brazoria, TX | |
| 1150Bremerton, WA | 1.0580 |
| Kitsap, WA | |
| 1240Brownsville-Harlingen-San Benito, TX | 1.0303 |
| Cameron, TX | |
| 1260Bryan-College Station, TX | 0.9019 |
| Brazos, TX | |
| 1280Buffalo-Niagara Falls, NY | 0.9604 |
| Erie, NY | |
| Niagara, NY | |
| 1303Burlington, VT | 0.9704 |
| Chittenden, VT | |
| Franklin, VT | |
| Grand Isle, VT | |
| 1310Caguas, PR | 0.4158 |
| Caguas, PR | |
| Cayey, PR | |
| Cidra, PR | |
| Gurabo, PR | |
| San Lorenzo, PR | |
| 1320Canton-Massillon, OH | 0.9071 |
| Carroll, OH | |
| Stark, OH | |
| 1350Casper, WY | 0.9110 |
| Natrona, WY | |
| 1360Cedar Rapids, IA | 0.8874 |
| Linn, IA | |
| 1400Champaign-Urbana, IL | 0.9907 |
| Champaign, IL | |
| 1440Charleston-North Charleston, SC | 0.9332 |
| Berkeley, SC | |
| Charleston, SC | |
| Dorchester, SC | |
| 1480Charleston, WV | 0.8880 |
| Kanawha, WV | |
| Putnam, WV | |
| 1520Charlotte-Gastonia-Rock Hill, NC-SC | 0.9730 |
| Cabarrus, NC | |
| Gaston, NC | |
| Lincoln, NC | |
| Mecklenburg, NC | |
| Rowan, NC | |
| Stanly, NC | |
| Union, NC | |
| York, SC | |
| 1540Charlottesville, VA | 1.0025 |
| Albemarle, VA | |
| Charlottesville City, VA | |
| Fluvanna, VA | |
| Greene, VA | |
| 1560Chattanooga, TN-GA | 0.9086 |
| Catoosa, GA | |
| Dade, GA | |
| Walker, GA | |
| Hamilton, TN | |
| Marion, TN | |
| 1580Cheyenne, WY | 0.9110 |
| Laramie, WY | |
| 1600Chicago, IL | 1.0892 |
| Cook, IL | |
| DeKalb, IL | |
| DuPage, IL | |
| Grundy, IL | |
| Kane, IL | |
| Kendall, IL | |
| Lake, IL | |
| McHenry, IL | |
| Will, IL | |
| 1620Chico-Paradise, CA | 1.0193 |
| Butte, CA | |
| 1640Cincinnati, OH-KY-IN | 0.9413 |
| Dearborn, IN | |
| Ohio, IN | |
| Boone, KY | |
| Campbell, KY | |
| Gallatin, KY | |
| Grant, KY | |
| Kenton, KY | |
| Pendleton, KY | |
| Brown, OH | |
| Clermont, OH | |
| Hamilton, OH | |
| Warren, OH | |
| 1660Clarksville-Hopkinsville, TN-KY | 0.8244 |
| Christian, KY | |
| Montgomery, TN | |
| 1680Cleveland-Lorain-Elyria, OH | 0.9671 |
| Ashtabula, OH | |
| Cuyahoga, OH | |
| Geauga, OH | |
| Lake, OH | |
| Lorain, OH | |
| Medina, OH | |
| 1720Colorado Springs, CO | 0.9833 |
| El Paso, CO | |
| 1740Columbia, MO | 0.8695 |
| Boone, MO | |
| 1760Columbia, SC | 0.8902 |
| Lexington, SC | |
| Richland, SC | |
| 1800Columbus, GA-AL | 0.8694 |
| Russell, AL | |
| Chattahoochee, GA | |
| Harris, GA | |
| Muscogee, GA | |
| 1840Columbus, OH | 0.9648 |
| Delaware, OH | |
| Fairfield, OH | |
| Franklin, OH | |
| Licking, OH | |
| Madison, OH | |
| Pickaway, OH | |
| 1880Corpus Christi, TX | 0.8521 |
| Nueces, TX | |
| San Patricio, TX | |
| 1890Corvallis, OR | 1.1516 |
| Benton, OR | |
| 1900Cumberland, MD-WV (WV Hospital) | 0.8200 |
| Allegany, MD | |
| Mineral, WV | |
| 1920Dallas, TX | 0.9974 |
| Collin, TX | |
| Dallas, TX | |
| Denton, TX | |
| Ellis, TX | |
| Henderson, TX | |
| Hunt, TX | |
| Kaufman, TX | |
| Rockwall, TX | |
| 1950Danville, VA | 0.9035 |
| Danville City, VA | |
| Pittsylvania, VA | |
| 1960Davenport-Moline-Rock Island, IA-IL | 0.8985 |
| Scott, IA | |
| Henry, IL | |
| Rock Island, IL | |
| 2000Dayton-Springfield, OH | 0.9518 |
| Clark, OH | |
| Greene, OH | |
| Miami, OH | |
| Montgomery, OH | |
| 2020Daytona Beach, FL | 0.9060 |
| Flagler, FL | |
| Volusia, FL | |
| 2030Decatur, AL | 0.8828 |
| Lawrence, AL | |
| Morgan, AL | |
| 2040Decatur, IL | 0.8254 |
| Macon, IL | |
| 2080Denver, CO | 1.0837 |
| Adams, CO | |
| Arapahoe, CO | |
| Broomfield, CO | |
| Denver, CO | |
| Douglas, CO | |
| Jefferson, CO | |
| 2120Des Moines, IA | 0.9106 |
| Dallas, IA | |
| Polk, IA | |
| Warren, IA | |
| 2160Detroit, MI | 1.0101 |
| Lapeer, MI | |
| Macomb, MI | |
| Monroe, MI | |
| Oakland, MI | |
| St. Clair, MI | |
| Wayne, MI | |
| 2180Dothan, AL | 0.7741 |
| Dale, AL | |
| Houston, AL | |
| 2190Dover, DE | 0.9805 |
| Kent, DE | |
| 2200Dubuque, IA | 0.8886 |
| Dubuque, IA | |
| 2240Duluth-Superior, MN-WI | 1.0171 |
| St. Louis, MN | |
| Douglas, WI | |
| 2281Dutchess County, NY | 1.0934 |
| Dutchess, NY | |
| 2290Eau Claire, WI | 0.9304 |
| Chippewa, WI | |
| Eau Claire, WI | |
| 2320El Paso, TX | 0.9196 |
| El Paso, TX | |
| 2330Elkhart-Goshen, IN | 0.9783 |
| Elkhart, IN | |
| 2335Elmira, NY | 0.8526 |
| Chemung, NY | |
| 2340Enid, OK | 0.8559 |
| Garfield, OK | |
| 2360Erie, PA | 0.8601 |
| Erie, PA | |
| 2400Eugene-Springfield, OR | 1.1456 |
| Lane, OR | |
| 2440Evansville-Henderson, IN-KY (IN Hospitals) | 0.8824 |
| Posey, IN | |
| Vanderburgh, IN | |
| Warrick, IN | |
| Henderson, KY | |
| 2520Fargo-Moorhead, ND-MN | 0.9797 |
| Clay, MN | |
| Cass, ND | |
| 2560Fayetteville, NC | 0.8986 |
| Cumberland, NC | |
| 2580Fayetteville-Springdale-Rogers, AR | 0.8396 |
| Benton, AR | |
| Washington, AR | |
| 2620Flagstaff, AZ-UT | 1.1333 |
| Coconino, AZ | |
| Kane, UT | |
| 2640Flint, MI | 1.0858 |
| Genesee, MI | |
| 2650Florence, AL | 0.7747 |
| Colbert, AL | |
| Lauderdale, AL | |
| 2655Florence, SC | 0.8709 |
| Florence, SC | |
| 2670Fort Collins-Loveland, CO | 1.0108 |
| Larimer, CO | |
| 2680Ft. Lauderdale, FL | 1.0163 |
| Broward, FL | |
| 2700Fort Myers-Cape Coral, FL | 0.9816 |
| Lee, FL | |
| 2710Fort Pierce-Port St. Lucie, FL | 1.0008 |
| Martin, FL | |
| St. Lucie, FL | |
| 2720Fort Smith, AR-OK | 0.8424 |
| Crawford, AR | |
| Sebastian, AR | |
| Sequoyah, OK | |
| 2750Fort Walton Beach, FL | 0.8966 |
| Okaloosa, FL | |
| 2760Fort Wayne, IN | 0.9585 |
| Adams, IN | |
| Allen, IN | |
| De Kalb, IN | |
| Huntington, IN | |
| Wells, IN | |
| Whitley, IN | |
| 2800Forth Worth-Arlington, TX | 0.9359 |
| Hood, TX | |
| Johnson, TX | |
| Parker, TX | |
| Tarrant, TX | |
| 2840Fresno, CA | 1.0142 |
| Fresno, CA | |
| Madera, CA | |
| 2880Gadsden, AL | 0.8206 |
| Etowah, AL | |
| 2900Gainesville, FL | 0.9693 |
| Alachua, FL | |
| 2920Galveston-Texas City, TX | 0.9279 |
| Galveston, TX | |
| 2960Gary, IN | 0.9410 |
| Lake, IN | |
| Porter, IN | |
| 2975Glens Falls, NY | 0.8526 |
| Warren, NY | |
| Washington, NY | |
| 2980Goldsboro, NC | 0.8622 |
| Wayne, NC | |
| 2985Grand Forks, ND-MN | 0.8636 |
| Polk, MN | |
| Grand Forks, ND | |
| 2995Grand Junction, CO | 0.9633 |
| Mesa, CO | |
| 3000Grand Rapids-Muskegon-Holland, MI | 0.9469 |
| Allegan, MI | |
| Kent, MI | |
| Muskegon, MI | |
| Ottawa, MI | |
| 3040Great Falls, MT | 0.8809 |
| Cascade, MT | |
| 3060Greeley, CO | 0.9372 |
| Weld, CO | |
| 3080Green Bay, WI | 0.9461 |
| Brown, WI | |
| 3120Greensboro-Winston-Salem-High Point, NC | 0.9166 |
| Alamance, NC | |
| Davidson, NC | |
| Davie, NC | |
| Forsyth, NC | |
| Guilford, NC | |
| Randolph, NC | |
| Stokes, NC | |
| Yadkin, NC | |
| 3150Greenville, NC | 0.9098 |
| Pitt, NC | |
| 3160Greenville-Spartanburg-Anderson, SC | 0.9335 |
| Anderson, SC | |
| Cherokee, SC | |
| Greenville, SC | |
| Pickens, SC | |
| Spartanburg, SC | |
| 3180Hagerstown, MD | 0.9172 |
| Washington, MD | |
| 3200Hamilton-Middletown, OH | 0.9214 |
| Butler, OH | |
| 3240Harrisburg-Lebanon-Carlisle, PA | 0.9164 |
| Cumberland, PA | |
| Dauphin, PA | |
| Lebanon, PA | |
| Perry, PA | |
| 3283Hartford, CT | 1.2183 |
| Hartford, CT | |
| Litchfield, CT | |
| Middlesex, CT | |
| Tolland, CT | |
| 3285Hattiesburg, MS | 0.7778 |
| Forrest, MS | |
| Lamar, MS | |
| 3290Hickory-Morganton-Lenoir, NC | 0.9242 |
| Alexander, NC | |
| Burke, NC | |
| Caldwell, NC | |
| Catawba, NC | |
| 3320Honolulu, HI | 1.1098 |
| Honolulu, HI | |
| 3350Houma, LA | 0.7771 |
| Lafourche, LA | |
| Terrebonne, LA | |
| 3360Houston, TX | 0.9834 |
| Chambers, TX | |
| Fort Bend, TX | |
| Harris, TX | |
| Liberty, TX | |
| Montgomery, TX | |
| Waller, TX | |
| 3400Huntington-Ashland, WV-KY-OH | 0.9595 |
| Boyd, KY | |
| Carter, KY | |
| Greenup, KY | |
| Lawrence, OH | |
| Cabell, WV | |
| Wayne, WV | |
| 3440Huntsville, AL | 0.9245 |
| Limestone, AL | |
| Madison, AL | |
| 3480Indianapolis, IN | 0.9916 |
| Boone, IN | |
| Hamilton, IN | |
| Hancock, IN | |
| Hendricks, IN | |
| Johnson, IN | |
| Madison, IN | |
| Marion, IN | |
| Morgan, IN | |
| Shelby, IN | |
| 3500Iowa City, IA | 0.9548 |
| Johnson, IA | |
| 3520Jackson, MI | 0.8986 |
| Jackson, MI | |
| 3560Jackson, MS | 0.8357 |
| Hinds, MS | |
| Madison, MS | |
| Rankin, MS | |
| 3580Jackson, TN | 0.8984 |
| Madison, TN | |
| Chester, TN | |
| 3600Jacksonville, FL | 0.9529 |
| Clay, FL | |
| Duval, FL | |
| Nassau, FL | |
| St. Johns, FL | |
| 3605Jacksonville, NC | 0.8544 |
| Onslow, NC | |
| 3610Jamestown, NY | 0.8526 |
| Chautauqua, NY | |
| 3620Janesville-Beloit, WI | 0.9304 |
| Rock, WI | |
| 3640Jersey City, NJ | 1.1115 |
| Hudson, NJ | |
| 3660Johnson City-Kingsport-Bristol, TN-VA | 0.8253 |
| Carter, TN | |
| Hawkins, TN | |
| Sullivan, TN | |
| Unicoi, TN | |
| Washington, TN | |
| Bristol City, VA | |
| Scott, VA | |
| Washington, VA | |
| 3680Johnstown, PA | 0.8378 |
| Cambria, PA | |
| Somerset, PA | |
| 3700Jonesboro, AR | 0.7794 |
| Craighead, AR | |
| 3710Joplin, MO | 0.8681 |
| Jasper, MO | |
| Newton, MO | |
| 3720Kalamazoo-Battlecreek, MI | 1.0500 |
| Calhoun, MI | |
| Kalamazoo, MI | |
| Van Buren, MI | |
| 3740Kankakee, IL | 1.0419 |
| Kankakee, IL | |
| 3760Kansas City, KS-MO | 0.9715 |
| Johnson, KS | |
| Leavenworth, KS | |
| Miami, KS | |
| Wyandotte, KS | |
| Cass, MO | |
| Clay, MO | |
| Clinton, MO | |
| Jackson, MO | |
| Lafayette, MO | |
| Platte, MO | |
| Ray, MO | |
| 3800Kenosha, WI | 0.9761 |
| Kenosha, WI | |
| 3810Killeen-Temple, TX | 0.9159 |
| Bell, TX | |
| Coryell, TX | |
| 3840Knoxville, TN | 0.8820 |
| Anderson, TN | |
| Blount, TN | |
| Knox, TN | |
| Loudon, TN | |
| Sevier, TN | |
| Union, TN | |
| 3850Kokomo, IN | 0.9045 |
| Howard, IN | |
| Tipton, IN | |
| 3870La Crosse, WI-MN | 0.9304 |
| Houston, MN | |
| La Crosse, WI | |
| 3880Lafayette, LA | 0.8207 |
| Acadia, LA | |
| Lafayette, LA | |
| St. Landry, LA | |
| St. Martin, LA | |
| 3920Lafayette, IN | 0.8824 |
| Clinton, IN | |
| Tippecanoe, IN | |
| 3960Lake Charles, LA | 0.7841 |
| Calcasieu, LA | |
| 3980Lakeland-Winter Haven, FL | 0.8855 |
| Polk, FL | |
| 4000Lancaster, PA | 0.9282 |
| Lancaster, PA | |
| 4040Lansing-East Lansing, MI | 0.9714 |
| Clinton, MI | |
| Eaton, MI | |
| Ingham, MI | |
| 4080Laredo, TX | 0.8091 |
| Webb, TX | |
| 4100Las Cruces, NM | 0.8688 |
| Dona Ana, NM | |
| 4120Las Vegas, NV-AZ | 1.1528 |
| Mohave, AZ | |
| Clark, NV | |
| Nye, NV | |
| 4150Lawrence, KS | 0.8074 |
| Douglas, KS | |
| 4200Lawton, OK | 0.8267 |
| Comanche, OK | |
| 4243Lewiston-Auburn, ME | 0.9383 |
| Androscoggin, ME | |
| 4280Lexington, KY | 0.8685 |
| Bourbon, KY | |
| Clark, KY | |
| Fayette, KY | |
| Jessamine, KY | |
| Madison, KY | |
| Scott, KY | |
| Woodford, KY | |
| 4320Lima, OH | 0.9522 |
| Allen, OH | |
| Auglaize, OH | |
| 4360Lincoln, NE | 1.0033 |
| Lancaster, NE | |
| 4400Little Rock-North Little Rock, AR | 0.8923 |
| Faulkner, AR | |
| Lonoke, AR | |
| Pulaski, AR | |
| Saline, AR | |
| 4420Longview-Marshall, TX | 0.9113 |
| Gregg, TX | |
| Harrison, TX | |
| Upshur, TX | |
| 4480Los Angeles-Long Beach, CA | 1.1795 |
| Los Angeles, CA | |
| 4520Louisville, KY-IN | 0.9242 |
| Clark, IN | |
| Floyd, IN | |
| Harrison, IN | |
| Scott, IN | |
| Bullitt, KY | |
| Jefferson, KY | |
| Oldham, KY | |
| 4600Lubbock, TX | 0.8272 |
| Lubbock, TX | |
| 4640Lynchburg, VA | 0.9134 |
| Amherst, VA | |
| Bedford, VA | |
| Bedford City, VA | |
| Campbell, VA | |
| Lynchburg City, VA | |
| 4680Macon, GA | 0.8953 |
| Bibb, GA | |
| Houston, GA | |
| Jones, GA | |
| Peach, GA | |
| Twiggs, GA | |
| 4720Madison, WI | 1.0264 |
| Dane, WI | |
| 4800Mansfield, OH | 0.9180 |
| Crawford, OH | |
| Richland, OH | |
| 4840Mayaguez, PR | 0.4795 |
| Anasco, PR | |
| Cabo Rojo, PR | |
| Hormigueros, PR | |
| Mayaguez, PR | |
| Sabana Grande, PR | |
| San German, PR | |
| 4880McAllen-Edinburg-Mission, TX | 0.8381 |
| Hidalgo, TX | |
| 4890Medford-Ashland, OR | 1.0772 |
| Jackson, OR | |
| 4900Melbourne-Titusville-Palm Bay, FL | 0.9776 |
| Brevard, Fl | |
| 4920Memphis, TN-AR-MS | 0.9009 |
| Crittenden, AR | |
| DeSoto, MS | |
| Fayette, TN | |
| Shelby, TN | |
| Tipton, TN | |
| 4940Merced, CA | 0.9967 |
| Merced, CA | |
| 5000Miami, FL | 0.9894 |
| Dade, FL | |
| 5015Middlesex-Somerset-Hunterdon, NJ | 1.1366 |
| Hunterdon, NJ | |
| Middlesex, NJ | |
| Somerset, NJ | |
| 5080Milwaukee-Waukesha, WI | 0.9988 |
| Milwaukee, WI | |
| Ozaukee, WI | |
| Washington, WI | |
| Waukesha, WI | |
| 5120Minneapolis-St. Paul, MN-WI | 1.1001 |
| Anoka, MN | |
| Carver, MN | |
| Chisago, MN | |
| Dakota, MN | |
| Hennepin, MN | |
| Isanti, MN | |
| Ramsey, MN | |
| Scott, MN | |
| Sherburne, MN | |
| Washington, MN | |
| Wright, MN | |
| Pierce, WI | |
| St. Croix, WI | |
| 5140Missoula, MT | 0.8800 |
| Missoula, MT | |
| 5160Mobile, AL | 0.7994 |
| Baldwin, AL | |
| Mobile, AL | |
| 5170Modesto, CA | 1.1275 |
| Stanislaus, CA | |
| 5190Monmouth-Ocean, NJ | 1.0956 |
| Monmouth, NJ | |
| Ocean, NJ | |
| 5200Monroe, LA | 0.7922 |
| Ouachita, LA | |
| 5240Montgomery, AL | 0.7907 |
| Autauga, AL | |
| Elmore, AL | |
| Montgomery, AL | |
| 5280Muncie, IN | 0.8824 |
| Delaware, IN | |
| 5330Myrtle Beach, SC | 0.9112 |
| Horry, SC | |
| 5345Naples, FL | 0.9790 |
| Collier, FL | |
| 5360Nashville, TN | 0.9855 |
| Cheatham, TN | |
| Davidson, TN | |
| Dickson, TN | |
| Robertson, TN | |
| Rutherford TN | |
| Sumner, TN | |
| Williamson, TN | |
| Wilson, TN | |
| 5380Nassau-Suffolk, NY | 1.3140 |
| Nassau, NY | |
| Suffolk, NY | |
| 5483New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT | 1.2385 |
| Fairfield, CT | |
| New Haven, CT | |
| 5523New London-Norwich, CT | 1.2183 |
| New London, CT | |
| 5560New Orleans, LA | 0.9174 |
| Jefferson, LA | |
| Orleans, LA | |
| Plaquemines, LA | |
| St. Bernard, LA | |
| St. Charles, LA | |
| St. James, LA | |
| St. John The Baptist, LA | |
| St. Tammany, LA | |
| 5600New York, NY | 1.4018 |
| Bronx, NY | |
| Kings, NY | |
| New York, NY | |
| Putnam, NY | |
| Queens, NY | |
| Richmond, NY | |
| Rockland, NY | |
| Westchester, NY | |
| 5640Newark, NJ | 1.1518 |
| Essex, NJ | |
| Morris, NJ | |
| Sussex, NJ | |
| Union, NJ | |
| Warren, NJ | |
| 5660Newburgh, NY-PA | 1.1509 |
| Orange, NY | |
| Pike, PA | |
| 5720Norfolk-Virginia Beach-Newport News, VA-NC | 0.8619 |
| Currituck, NC | |
| Chesapeake City, VA | |
| Gloucester, VA | |
| Hampton City, VA | |
| Isle of Wight, VA | |
| James City, VA | |
| Mathews, VA | |
| Newport News City, VA | |
| Norfolk City, VA | |
| Poquoson City, VA | |
| Portsmouth City, VA | |
| Suffolk City, VA | |
| Virginia Beach City, VA | |
| Williamsburg City, VA | |
| York, VA | |
| 5775Oakland, CA | 1.4921 |
| Alameda, CA | |
| Contra Costa, CA | |
| 5790Ocala, FL | 0.9728 |
| Marion, FL | |
| 5800Odessa-Midland, TX | 0.9327 |
| Ector, TX | |
| Midland, TX | |
| 5880Oklahoma City, OK | 0.8984 |
| Canadian, OK | |
| Cleveland, OK | |
| Logan, OK | |
| McClain, OK | |
| Oklahoma, OK | |
| Pottawatomie, OK | |
| 5910Olympia, WA | 1.0963 |
| Thurston, WA | |
| 5920Omaha, NE-IA | 0.9745 |
| Pottawattamie, IA | |
| Cass, NE | |
| Douglas, NE | |
| Sarpy, NE | |
| Washington, NE | |
| 5945Orange County, CA | 1.1372 |
| Orange, CA | |
| 5960Orlando, FL | 0.9654 |
| Lake, FL | |
| Orange, FL | |
| Osceola, FL | |
| Seminole, FL | |
| 5990Owensboro, KY | 0.8374 |
| Daviess, KY | |
| 6015Panama City, FL | 0.8855 |
| Bay, FL | |
| 6020Parkersburg-Marietta, WV-OH | 0.8039 |
| Washington, OH | |
| Wood, WV | |
| 6080Pensacola, FL | 0.8855 |
| Escambia, FL | |
| Santa Rosa, FL | |
| 6120Peoria-Pekin, IL | 0.8734 |
| Peoria, IL | |
| Tazewell, IL | |
| Woodford, IL | |
| 6160Philadelphia, PA-NJ | 1.0883 |
| Burlington, NJ | |
| Camden, NJ | |
| Gloucester, NJ | |
| Salem, NJ | |
| Bucks, PA | |
| Chester, PA | |
| Delaware, PA | |
| Montgomery, PA | |
| Philadelphia, PA | |
| 6200Phoenix-Mesa, AZ | 1.0129 |
| Maricopa, AZ | |
| Pinal, AZ | |
| 6240Pine Bluff, AR | 0.7865 |
| Jefferson, AR | |
| 6280Pittsburgh, PA | 0.8901 |
| Allegheny, PA | |
| Beaver, PA | |
| Butler, PA | |
| Fayette, PA | |
| Washington, PA | |
| Westmoreland, PA | |
| 6323Pittsfield, MA | 1.0432 |
| Berkshire, MA | |
| 6340Pocatello, ID | 0.9042 |
| Bannock, ID | |
| 6360Ponce, PR | 0.4708 |
| Guayanilla, PR | |
| Juana Diaz, PR | |
| Penuelas, PR | |
| Ponce, PR | |
| Villalba, PR | |
| Yauco, PR | |
| 6403Portland, ME | 0.9949 |
| Cumberland, ME | |
| Sagadahoc, ME | |
| York, ME | |
| 6440Portland-Vancouver, OR-WA | 1.1213 |
| Clackamas, OR | |
| Columbia, OR | |
| Multnomah, OR | |
| Washington, OR | |
| Yamhill, OR | |
| Clark, WA | |
| 6483Providence-Warwick-Pawtucket, RI | 1.0977 |
| Bristol, RI | |
| Kent, RI | |
| Newport, RI | |
| Providence, RI | |
| Washington, RI | |
| 6520Provo-Orem, UT | 0.9976 |
| Utah, UT | |
| 6560Pueblo, CO | 0.9328 |
| Pueblo, CO | |
| 6580Punta Gorda, FL | 0.9510 |
| Charlotte, FL | |
| 6600Racine, WI | 0.9304 |
| Racine, WI | |
| 6640Raleigh-Durham-Chapel Hill, NC | 0.9959 |
| Chatham, NC | |
| Durham, NC | |
| Franklin, NC | |
| Johnston, NC | |
| Orange, NC | |
| Wake, NC | |
| 6660Rapid City, SD | 0.8806 |
| Pennington, SD | |
| 6680Reading, PA | 0.9133 |
| Berks, PA | |
| 6690Redding, CA | 1.1352 |
| Shasta, CA | |
| 6720Reno, NV | 1.0682 |
| Washoe, NV | |
| 6740Richland-Kennewick-Pasco, WA | 1.0609 |
| Benton, WA | |
| Franklin, WA | |
| 6760Richmond-Petersburg, VA | 0.9349 |
| Charles City County, VA | |
| Chesterfield, VA | |
| Colonial Heights City, VA | |
| Dinwiddie, VA | |
| Goochland, VA | |
| Hanover, VA | |
| Henrico, VA | |
| Hopewell City, VA | |
| New Kent, VA | |
| Petersburg City, VA | |
| Powhatan, VA | |
| Prince George, VA | |
| Richmond City, VA | |
| 6780Riverside-San Bernardino, CA | 1.1348 |
| Riverside, CA | |
| San Bernardino, CA | |
| 6800Roanoke, VA | 0.8700 |
| Botetourt, VA | |
| Roanoke, VA | |
| Roanoke City, VA | |
| Salem City, VA | |
| 6820Rochester, MN | 1.1739 |
| Olmsted, MN | |
| 6840Rochester, NY | 0.9430 |
| Genesee, NY | |
| Livingston, NY | |
| Monroe, NY | |
| Ontario, NY | |
| Orleans, NY | |
| Wayne, NY | |
| 6880Rockford, IL | 0.9666 |
| Boone, IL | |
| Ogle, IL | |
| Winnebago, IL | |
| 6895Rocky Mount, NC | 0.9076 |
| Edgecombe, NC | |
| Nash, NC | |
| 6920Sacramento, CA | 1.1845 |
| El Dorado, CA | |
| Placer, CA | |
| Sacramento, CA | |
| 6960Saginaw-Bay City-Midland, MI | 1.0032 |
| Bay, MI | |
| Midland, MI | |
| Saginaw, MI | |
| 6980St. Cloud, MN | 0.9506 |
| Benton, MN | |
| Stearns, MN | |
| 7000St. Joseph, MO | 0.8056 |
| Andrew, MO | |
| Buchanan, MO | |
| 7040St. Louis, MO-IL | 0.9033 |
| Clinton, IL | |
| Jersey, IL | |
| Madison, IL | |
| Monroe, IL | |
| St. Clair, IL | |
| Franklin, MO | |
| Jefferson, MO | |
| Lincoln, MO | |
| St. Charles, MO | |
| St. Louis, MO | |
| St. Louis City, MO | |
| Warren, MO | |
| 7080Salem, OR | 1.0482 |
| Marion, OR | |
| Polk, OR | |
| 7120Salinas, CA | 1.4339 |
| Monterey, CA | |
| 7160Salt Lake City-Ogden, UT | 0.9913 |
| Davis, UT | |
| Salt Lake, UT | |
| Weber, UT | |
| 7200San Angelo, TX | 0.8535 |
| Tom Green, TX | |
| 7240San Antonio, TX | 0.8870 |
| Bexar, TX | |
| Comal, TX | |
| Guadalupe, TX | |
| Wilson, TX | |
| 7320San Diego, CA | 1.1147 |
| San Diego, CA | |
| 7360San Francisco, CA | 1.4514 |
| Marin, CA | |
| San Francisco, CA | |
| San Mateo, CA | |
| 7400San Jose, CA | 1.4626 |
| Santa Clara, CA | |
| 7440San Juan-Bayamon, PR | 0.4909 |
| Aguas Buenas, PR | |
| Barceloneta, PR | |
| Bayamon, PR | |
| Canovanas, PR | |
| Carolina, PR | |
| Catano, PR | |
| Ceiba, PR | |
| Comerio, PR | |
| Corozal, PR | |
| Dorado, PR | |
| Fajardo, PR | |
| Florida, PR | |
| Guaynabo, PR | |
| Humacao, PR | |
| Juncos, PR | |
| Los Piedras, PR | |
| Loiza, PR | |
| Luguillo, PR | |
| Manati, PR | |
| Morovis, PR | |
| Naguabo, PR | |
| Naranjito, PR | |
| Rio Grande, PR | |
| San Juan, PR | |
| Toa Alta, PR | |
| Toa Baja, PR | |
| Trujillo Alto, PR | |
| Vega Alta, PR | |
| Vega Baja, PR | |
| Yabucoa, PR | |
| 7460San Luis Obispo-Atascadero-Paso Robles, CA | 1.1429 |
| San Luis Obispo, CA | |
| 7480Santa Barbara-Santa Maria-Lompoc, CA | 1.0441 |
| Santa Barbara, CA | |
| 7485Santa Cruz-Watsonville, CA | 1.2942 |
| Santa Cruz, CA | |
| 7490Santa Fe, NM | 1.0653 |
| Los Alamos, NM | |
| Santa Fe, NM | |
| 7500 Santa Rosa, CA | 1.2877 |
| Sonoma, CA | |
| 7510Sarasota-Bradenton, FL | 0.9964 |
| Manatee, FL | |
| Sarasota, FL | |
| 7520Savannah, GA | 0.9472 |
| Bryan, GA | |
| Chatham, GA | |
| Effingham, GA | |
| 7560Scranton-Wilkes-Barre-Hazleton, PA | 0.8412 |
| Columbia, PA | |
| Lackawanna, PA | |
| Luzerne, PA | |
| Wyoming, PA | |
| 7600Seattle-Bellevue-Everett, WA | 1.1562 |
| Island, WA | |
| King, WA | |
| Snohomish, WA | |
| 7610Sharon, PA | 0.8378 |
| Mercer, PA | |
| 7620Sheboygan, WI | 0.9304 |
| Sheboygan, WI | |
| 7640Sherman-Denison, TX | 0.9700 |
| Grayson, TX | |
| 7680Shreveport-Bossier City, LA | 0.9083 |
| Bossier, LA | |
| Caddo, LA | |
| Webster, LA | |
| 7720Sioux City, IA-NE | 0.8993 |
| Woodbury, IA | |
| Dakota, NE | |
| 7760Sioux Falls, SD | 0.9309 |
| Lincoln, SD | |
| Minnehaha, SD | |
| 7800South Bend, IN | 0.9821 |
| St. Joseph, IN | |
| 7840Spokane, WA | 1.0901 |
| Spokane, WA | |
| 7880Springfield, IL | 0.8944 |
| Menard, IL | |
| Sangamon, IL | |
| 7920Springfield, MO | 0.8457 |
| Christian, MO | |
| Greene, MO | |
| Webster, MO | |
| 8003Springfield, MA | 1.0543 |
| Hampden, MA | |
| Hampshire, MA | |
| 8050State College, PA | 0.8740 |
| Centre, PA | |
| 8080Steubenville-Weirton, OH-WV (WV Hospitals) | 0.8398 |
| Jefferson, OH | |
| Brooke, WV | |
| Hancock, WV | |
| 8120Stockton-Lodi, CA | 1.0404 |
| San Joaquin, CA | |
| 8140Sumter, SC | 0.8498 |
| Sumter, SC | |
| 8160Syracuse, NY | 0.9412 |
| Cayuga, NY | |
| Madison, NY | |
| Onondaga, NY | |
| Oswego, NY | |
| 8200Tacoma, WA | 1.1116 |
| Pierce, WA | |
| 8240Tallahassee, FL | 0.8855 |
| Gadsden, FL | |
| Leon, FL | |
| 8280Tampa-St. Petersburg-Clearwater, FL | 0.9103 |
| Hernando, FL | |
| Hillsborough, FL | |
| Pasco, FL | |
| Pinellas, FL | |
| 8320Terre Haute, IN | 0.8824 |
| Clay, IN | |
| Vermillion, IN | |
| Vigo, IN | |
| 8360Texarkana, AR-Texarkana, TX | 0.8150 |
| Miller, AR | |
| Bowie, TX | |
| 8400Toledo, OH | 0.9381 |
| Fulton, OH | |
| Lucas, OH | |
| Wood, OH | |
| 8440Topeka, KS | 0.9108 |
| Shawnee, KS | |
| 8480 Trenton, NJ | 1.0517 |
| Mercer, NJ | |
| 8520Tucson, AZ | 0.9270 |
| Pima, AZ | |
| 8560Tulsa, OK | 0.9185 |
| Creek, OK | |
| Osage, OK | |
| Rogers, OK | |
| Tulsa, OK | |
| Wagoner, OK | |
| 8600Tuscaloosa, AL | 0.8212 |
| Tuscaloosa, AL | |
| 8640Tyler, TX | 0.9404 |
| Smith, TX | |
| 8680Utica-Rome, NY | 0.8526 |
| Herkimer, NY | |
| Oneida, NY | |
| 8720Vallejo-Fairfield-Napa, CA | 1.3377 |
| Napa, CA | |
| Solano, CA | |
| 8735Ventura, CA | 1.1064 |
| Ventura, CA | |
| 8750Victoria, TX | 0.8184 |
| Victoria, TX | |
| 8760Vineland-Millville-Bridgeton, NJ | 1.0405 |
| Cumberland, NJ | |
| 8780Visalia-Tulare-Porterville, CA | 0.9967 |
| Tulare, CA | |
| 8800Waco, TX | 0.8394 |
| McLennan, TX | |
| 8840Washington, DC-MD-VA-WV | 1.0904 |
| District of Columbia, DC | |
| Calvert, MD | |
| Charles, MD | |
| Frederick, MD | |
| Montgomery, MD | |
| Prince Georges, MD | |
| Alexandria City, VA | |
| Arlington, VA | |
| Clarke, VA | |
| Culpepper, VA | |
| Fairfax, VA | |
| Fairfax City, VA | |
| Falls Church City, VA | |
| Fauquier, VA | |
| Fredericksburg City, VA | |
| King George, VA | |
| Loudoun, VA | |
| Manassas City, VA | |
| Manassas Park City, VA | |
| Prince William, VA | |
| Spotsylvania, VA | |
| Stafford, VA | |
| Warren, VA | |
| Berkeley, WV | |
| Jefferson, WV | |
| 8920Waterloo-Cedar Falls, IA | 0.8416 |
| Black Hawk, IA | |
| 8940Wausau, WI | 0.9692 |
| Marathon, WI | |
| 8960West Palm Beach-Boca Raton, FL | 0.9798 |
| Palm Beach, FL | |
| 9000Wheeling, WV-OH | 0.8018 |
| Belmont, OH | |
| Marshall, WV | |
| Ohio, WV | |
| 9040Wichita, KS | 0.9238 |
| Butler, KS | |
| Harvey, KS | |
| Sedgwick, KS | |
| 9080Wichita Falls, TX | 0.8341 |
| Archer, TX | |
| Wichita, TX | |
| 9140Williamsport, PA | 0.8378 |
| Lycoming, PA | |
| 9160Wilmington-Newark, DE-MD | 1.0882 |
| New Castle, DE | |
| Cecil, MD | |
| 9200Wilmington, NC | 0.9563 |
| New Hanover, NC | |
| Brunswick, NC | |
| 9260Yakima, WA | 1.0388 |
| Yakima, WA | |
| 9270Yolo, CA | 0.9967 |
| Yolo, CA | |
| 9280York, PA | 0.9119 |
| York, PA | |
| 9320Youngstown-Warren, OH | 0.9214 |
| Columbiana, OH | |
| Mahoning, OH | |
| Trumbull, OH | |
| 9340Yuba City, CA | 1.0196 |
| Sutter, CA | |
| Yuba, CA | |
| 9360Yuma, AZ | 0.9270 |
| Yuma, AZ |
37. On page 45584, in Table 4H-Pre-Reclassified Wage Index for Rural Areas, the table is corrected to read as follows:
| Nonurban area | Wage index |
|---|---|
| Alabama | 0.7492 |
| Alaska | 1.1886 |
| Arizona | 0.9270 |
| Arkansas | 0.7734 |
| California | 0.9967 |
| Colorado | 0.9328 |
| Connecticut | 1.2183 |
| Delaware | 0.9557 |
| Florida | 0.8855 |
| Georgia | 0.8595 |
| Hawaii | 0.9958 |
| Idaho | 0.8974 |
| Illinois | 0.8254 |
| Indiana | 0.8824 |
| Iowa | 0.8416 |
| Kansas | 0.8074 |
| Kentucky | 0.7973 |
| Louisiana | 0.7451 |
| Maine | 0.8812 |
| Maryland | 0.9125 |
| Massachusetts | 1.0432 |
| Michigan | 0.8877 |
| Minnesota | 0.9330 |
| Mississippi | 0.7778 |
| Missouri | 0.8056 |
| Montana | 0.8800 |
| Nebraska | 0.8822 |
| Nevada | 0.9806 |
| New Hampshire | 1.0030 |
| New Jersey 1 | |
| New Mexico | 0.8270 |
| New York | 0.8526 |
| North Carolina | 0.8456 |
| North Dakota | 0.7778 |
| Ohio | 0.8820 |
| Oklahoma | 0.7537 |
| Oregon | 0.9994 |
| Pennsylvania | 0.8378 |
| Puerto Rico | 0.4018 |
| Rhode Island 1 | |
| South Carolina | 0.8498 |
| South Dakota | 0.8195 |
| Tennessee | 0.7886 |
| Texas | 0.7780 |
| Utah | 0.8974 |
| Vermont | 0.9307 |
| Virginia | 0.8498 |
| Washington | 1.0388 |
| West Virginia | 0.8018 |
| Wisconsin | 0.9304 |
| Wyoming | 0.9110 |
| 1 All counties within the State are classified as urban. | |
38. On page 45585, in Table 5-List of Diagnosis-Related Groups (DRGs), Relative Weighting Factors, and Geometric and Arithmetic Mean Length of Stay (LOS), the fourth column (DRG Title),
a. Line 13 ((DRG 28) "Traumatic Stupor Coma, Coma 1HR Age17 w cc" is corrected to read "Traumatic Stupor Coma, Coma 1HR Age17 w cc";
b. Line 14 line 59 (DRG 29) "Traumatic Stupor Coma, Coma 1HR Age17 w/o cc" is corrected to read "Traumatic Stupor Coma, Coma 1HR Age17 w/o cc";
c. Line 53 (DRG 68), "Otitis Media URI Age gt;17 w cc" is corrected to read "Otitis Media URI Age17 w cc"; and
d. Line 54 (DRG 69), "Otitis Media URI Age gt;17 w/o cc" is corrected to read "Otitis Media URI Age17 w/o cc".
39. On page 45586, in Table 5-List of Diagnosis-Related Groups (DRGs), Relative Weighting Factors, and Geometric and Arithmetic Mean Length of Stay (LOS),
a. Line 25 (DRG 104), fifth column, the figure "7.9351" is corrected to read "7.9389"; and
b. Line 27 (DRG 105), fifth column, the figure "5.7088" is corrected to read "5.7156".
40. On page 45593, in Table 5-List of Diagnosis-Related Groups (DRGs), Relative Weighting Factors, and Geometric and Arithmetic Mean Length of Stay (LOS),
a. Line 21 (DRG 481),
(1) Sixth column, the figure "19.20" is added; and
(2) Seventh column, the figure "21.80" is added.
b. Line 22, first, second, and third columns, the figures "1", "9.20", and "21.80" are corrected by deleting these figures; and
c. Line 36 (DRG 492), the fourth column, the title "Chemotherapy w Acute Leukemia or w use of Hi Dose Chemoagent" is corrected to read "Chemotherapy w Acute Leukemia as Secondary Diagnosis or w use of High Dose Chemotherapy Agent".
d. Line 49 (DRG 504),
(1) Sixth column, the figure "0.30" is corrected to read "20.30"; and
(2) Seventh column, the figure, "8.00" is corrected to read "28.00".
41. On page 45594,
a. In Table 5-List of Diagnosis-Related Groups (DRGs), Relative Weighting Factors, and Geometric and Arithmetic Mean Length of Stay (LOS),
(1) Line 10 (DRG 525),
(a) Fifth column, the figure "11.4372" is corrected to read "14.1896";
(b) Sixth column, the figure "8.90" is corrected to read "10.2"; and
(c) Seventh column, the figure "17.00" is corrected to read "19.6".
b. In Table 6A-New Diagnosis Codes, first column, line 1, the figure "1 079.82" is corrected to read "079.8211 ".
42. On page 45595, in Table 6A-New Diagnosis Codes, first column,
a. Line 12, the figure "480.31" is corrected to read "480.311 "; and
b. Line 17, the figure "1 517.3" is corrected to read "517.3".
43. On page 45596,
a. In Table 6A-New Diagnosis Codes, first column, line 10, the figure "1 V01.82" is corrected to read "V01.821 ";
b. In Table 6B-New Procedure Codes, line 3,
(1) Column 3, the figure "5" is corrected to read "Y";
(2) Column 4, the figure "525" is corrected to read "5"; and
(3) Column 5, the figure "525" is added.
44. On pages 45596 and 45597, table heading, the table entitled "Table 6C-Invalid Procedure Codes" is corrected to read "Table 6C-Invalid Diagnosis Codes".
45. On pages 45638 through 45647, Table 9-Hospital Reclassifications and Redesignations by Individual Hospital-FY 2004 is corrected by-
a. Adding the following entries (in numerical order):
| Provider No. | Actual MSA or rural area | Wage index MSA reclassification | Standardized amount MSA reclassification |
|---|---|---|---|
| 040136 | 04 | 4400 | |
| 070015 | 3283 | 5600 | |
| 070036 | 3283 | 5483 | |
| 140012 | 14 | 1600 | |
| 340039 | 34 | 1520 | 1520 |
| 340129 | 34 | 1520 | |
| 340131 | 34 | 3150 | |
| 340144 | 34 | 1520 | |
| 360037 | 1680 | 0080 | |
| 360056 | 3200 | 1640 | 1640 |
| 430028 | 43 | 6660 |
b. Correcting the standardized amount MSA reclassification for the following entries:
| Provider No. | Published standardized amount MSA reclassification | Corrected standardized amount MSA reclassification |
|---|---|---|
| 340126 | 6640 | 6895 |
c. Correcting the wage index MSA reclassification for the following entries:
| Provider No. | Published wage index MSA reclassification | Corrected wage index MSA reclassification |
|---|---|---|
| 010005 | 3440 | 1000 |
| 060049 | 2080 | 2670 |
| 100217 | 2710 | 4900 |
| 100232 | 5790 | 2900 |
| 130003 | 50 | 6740 |
| 190086 | 5200 | 7680 |
| 340039 | 1520 |
d. Deleting the following entries:
| Provider No. | Actual MSA or rural area | Wage index MSA reclassification | Standardized amount MSA reclassification |
|---|---|---|---|
| 010044 | 01 | 25 | |
| 100211 | 8280 | 3980 | |
| 310087 | 8760 | 6160 | |
| 330386 | 33 | 5660 | |
| 390197 | 0240 | 6160 | |
| 390263 | 0240 | 6160 | |
| 460011 | 46 | 6520 |
46. On pages 45648 through 45650, Table 10-Mean and .75 Standard Deviation by Diagnosis-Related Group (DRG)-July 2003 is corrected to read:
| DRG | Cases | Mean + .75 standard deviation |
|---|---|---|
| 1 | 24,267 | $60,950 |
| 2 | 11,855 | $35,495 |
| 3 | 3 | $38,670 |
| 6 | 358 | $13,422 |
| 7 | 14,782 | $44,651 |
| 8 | 4,189 | $27,349 |
| 9 | 1,724 | $22,103 |
| 10 | 18,551 | $20,645 |
| 11 | 3,276 | $14,588 |
| 12 | 52,059 | $14,717 |
| 13 | 7,063 | $13,412 |
| 14 | 235,629 | $20,649 |
| 15 | 92,689 | $16,064 |
| 16 | 9,895 | $20,645 |
| 17 | 2,722 | $11,711 |
| 18 | 29,545 | $16,455 |
| 19 | 8,485 | $11,848 |
| 20 | 6,179 | $45,939 |
| 21 | 1,884 | $24,848 |
| 22 | 2,759 | $17,693 |
| 23 | 11,165 | $13,566 |
| 24 | 58,700 | $16,388 |
| 25 | 27,285 | $10,243 |
| 26 | 20 | $15,481 |
| 27 | 4,447 | $21,583 |
| 28 | 13,952 | $21,942 |
| 29 | 5,298 | $11,870 |
| 30 | 3 | $15,951 |
| 31 | 3,927 | $15,129 |
| 32 | 1,914 | $9,563 |
| 34 | 23,699 | $16,230 |
| 35 | 7,411 | $10,739 |
| 36 | 2,093 | $10,243 |
| 37 | 1,375 | $17,454 |
| 38 | 95 | $7,950 |
| 39 | 556 | $10,496 |
| 40 | 1,550 | $14,867 |
| 42 | 1,575 | $11,705 |
| 43 | 94 | $9,191 |
| 44 | 1,205 | $10,735 |
| 45 | 2,656 | $12,162 |
| 46 | 3,449 | $13,222 |
| 47 | 1,389 | $9,033 |
| 49 | 2,381 | $28,970 |
| 50 | 2,411 | $13,659 |
| 51 | 242 | $14,263 |
| 52 | 218 | $13,403 |
| 53 | 2,464 | $19,840 |
| 55 | 1,481 | $15,300 |
| 56 | 471 | $14,360 |
| 57 | 708 | $17,369 |
| 59 | 114 | $13,104 |
| 61 | 253 | $20,533 |
| 62 | 2 | $17,648 |
| 63 | 3,018 | $22,970 |
| 64 | 3,109 | $21,265 |
| 65 | 39,944 | $9,647 |
| 66 | 7,774 | $9,443 |
| 67 | 383 | $12,823 |
| 68 | 11,465 | $10,817 |
| 69 | 3,694 | $8,350 |
| 70 | 31 | $5,312 |
| 71 | 79 | $10,701 |
| 72 | 959 | $11,421 |
| 73 | 7,654 | $13,387 |
| 75 | 43,245 | $50,365 |
| 76 | 44,348 | $46,358 |
| 77 | 2,472 | $20,249 |
| 78 | 39,220 | $21,219 |
| 79 | 167,196 | $26,768 |
| 80 | 7,929 | $14,141 |
| 81 | 5 | $17,492 |
| 82 | 63,922 | $23,263 |
| 83 | 6,703 | $15,965 |
| 84 | 1,598 | $9,061 |
| 85 | 22,136 | $19,978 |
| 86 | 2,226 | $11,541 |
| 87 | 60,498 | $22,477 |
| 88 | 398,325 | $14,903 |
| 89 | 525,617 | $17,228 |
| 90 | 47,542 | $10,197 |
| 91 | 44 | $11,589 |
| 92 | 15,657 | $20,101 |
| 93 | 1,752 | $12,148 |
| 94 | 12,763 | $18,831 |
| 95 | 1,650 | $10,312 |
| 96 | 56,023 | $12,449 |
| 97 | 28,360 | $9,184 |
| 98 | 9 | $11,369 |
| 99 | 21,198 | $11,730 |
| 100 | 8,182 | $8,813 |
| 101 | 22,194 | $14,311 |
| 102 | 5,584 | $9,146 |
| 103 | 495 | $306,011 |
| 104 | 20,506 | $130,419 |
| 105 | 28,981 | $93,467 |
| 106 | 3,483 | $119,674 |
| 107 | 82,849 | $87,235 |
| 108 | 6,471 | $91,161 |
| 109 | 57,053 | $64,104 |
| 110 | 54,627 | $67,935 |
| 111 | 9,477 | $42,482 |
| 113 | 39,525 | $46,445 |
| 114 | 8,280 | $27,158 |
| 115 | 19,730 | $59,709 |
| 116 | 115,521 | $39,243 |
| 117 | 4,698 | $22,635 |
| 118 | 8,243 | $27,186 |
| 119 | 1,239 | $21,882 |
| 120 | 38,097 | $37,461 |
| 121 | 162,443 | $25,794 |
| 122 | 76,199 | $16,778 |
| 123 | 38,308 | $25,403 |
| 124 | 135,070 | $23,506 |
| 125 | 91,605 | $18,143 |
| 126 | 5,371 | $42,207 |
| 127 | 667,674 | $16,687 |
| 128 | 7,104 | $11,969 |
| 129 | 3,828 | $16,850 |
| 130 | 88,024 | $15,441 |
| 131 | 26,812 | $9,413 |
| 132 | 141,313 | $10,559 |
| 133 | 8,584 | $9,090 |
| 134 | 40,950 | $9,979 |
| 135 | 7,749 | $14,879 |
| 136 | 1,177 | $9,660 |
| 138 | 206,600 | $13,753 |
| 139 | 86,760 | $8,638 |
| 140 | 54,470 | $8,802 |
| 141 | 108,038 | $12,460 |
| 142 | 52,222 | $9,661 |
| 143 | 247,984 | $9,176 |
| 144 | 94,294 | $19,911 |
| 145 | 7,277 | $9,758 |
| 146 | 10,717 | $45,045 |
| 147 | 2,622 | $25,606 |
| 148 | 133,149 | $55,961 |
| 149 | 19,992 | $23,891 |
| 150 | 21,026 | $47,648 |
| 151 | 5,108 | $21,887 |
| 152 | 4,537 | $31,514 |
| 153 | 2,042 | $18,743 |
| 154 | 28,242 | $66,985 |
| 155 | 6,581 | $21,615 |
| 156 | 4 | $13,610 |
| 157 | 8,229 | $21,199 |
| 158 | 4,302 | $10,898 |
| 159 | 18,005 | $22,652 |
| 160 | 12,068 | $13,727 |
| 161 | 10,697 | $18,978 |
| 162 | 6,319 | $10,842 |
| 163 | 8 | $8,496 |
| 164 | 5,354 | $38,494 |
| 165 | 2,318 | $20,220 |
| 166 | 4,177 | $23,548 |
| 167 | 4,064 | $14,643 |
| 168 | 1,430 | $21,184 |
| 169 | 808 | $12,591 |
| 170 | 15,615 | $46,595 |
| 171 | 1,508 | $20,124 |
| 172 | 31,193 | $22,687 |
| 173 | 2,456 | $12,789 |
| 174 | 249,690 | $16,591 |
| 175 | 34,572 | $9,382 |
| 176 | 13,384 | $17,977 |
| 177 | 9,012 | $15,382 |
| 178 | 3,345 | $11,611 |
| 179 | 13,115 | $17,902 |
| 180 | 89,518 | $15,767 |
| 181 | 26,863 | $9,013 |
| 182 | 270,142 | $13,570 |
| 183 | 90,281 | $9,726 |
| 184 | 75 | $7,829 |
| 185 | 5,350 | $14,122 |
| 186 | 6 | $13,840 |
| 187 | 632 | $13,047 |
| 188 | 83,496 | $18,050 |
| 189 | 13,002 | $10,094 |
| 190 | 76 | $13,314 |
| 191 | 9,509 | $70,693 |
| 192 | 1,318 | $30,582 |
| 193 | 4,791 | $56,646 |
| 194 | 646 | $27,181 |
| 195 | 3,986 | $50,267 |
| 196 | 985 | $26,442 |
| 197 | 18,180 | $42,215 |
| 198 | 5,338 | $20,057 |
| 199 | 1,639 | $40,105 |
| 200 | 1,076 | $48,840 |
| 201 | 2,132 | $60,824 |
| 202 | 26,597 | $21,538 |
| 203 | 29,851 | $22,690 |
| 204 | 65,032 | $18,780 |
| 205 | 27,308 | $19,560 |
| 206 | 2,040 | $11,756 |
| 207 | 32,486 | $19,030 |
| 208 | 10,054 | $11,133 |
| 209 | 397,136 | $32,251 |
| 210 | 122,325 | $29,402 |
| 211 | 29,910 | $20,102 |
| 212 | 10 | $24,400 |
| 213 | 9,941 | $30,927 |
| 216 | 8,759 | $35,017 |
| 217 | 17,302 | $48,569 |
| 218 | 23,856 | $26,012 |
| 219 | 19,900 | $16,947 |
| 223 | 13,264 | $17,479 |
| 224 | 11,697 | $13,087 |
| 225 | 6,458 | $19,210 |
| 226 | 5,850 | $25,118 |
| 227 | 4,833 | $13,561 |
| 228 | 2,523 | $19,156 |
| 229 | 1,259 | $11,806 |
| 230 | 2,453 | $21,335 |
| 232 | 817 | $15,763 |
| 233 | 9,955 | $33,217 |
| 234 | 5,357 | $20,460 |
| 235 | 5,077 | $12,131 |
| 236 | 39,734 | $11,649 |
| 237 | 1,762 | $9,959 |
| 238 | 8,853 | $22,389 |
| 239 | 45,836 | $17,055 |
| 240 | 11,991 | $20,968 |
| 241 | 3,139 | $10,476 |
| 242 | 2,575 | $18,916 |
| 243 | 95,842 | $12,511 |
| 244 | 14,536 | $11,855 |
| 245 | 5,794 | $8,060 |
| 246 | 1,483 | $9,996 |
| 247 | 20,262 | $9,546 |
| 248 | 13,801 | $14,154 |
| 249 | 12,889 | $10,969 |
| 250 | 3,771 | $11,727 |
| 251 | 2,358 | $7,723 |
| 253 | 21,978 | $12,388 |
| 254 | 10,705 | $7,450 |
| 256 | 6,679 | $13,456 |
| 257 | 15,630 | $14,551 |
| 258 | 15,172 | $11,527 |
| 259 | 3,515 | $15,356 |
| 260 | 4,202 | $11,332 |
| 261 | 1,785 | $14,931 |
| 262 | 663 | $15,556 |
| 263 | 23,018 | $32,927 |
| 264 | 3,859 | $17,783 |
| 265 | 4,097 | $25,386 |
| 266 | 2,544 | $14,569 |
| 267 | 240 | $16,311 |
| 268 | 921 | $19,160 |
| 269 | 9,800 | $28,934 |
| 270 | 2,790 | $13,512 |
| 271 | 19,129 | $16,800 |
| 272 | 5,696 | $16,372 |
| 273 | 1,322 | $10,402 |
| 274 | 2,283 | $19,471 |
| 275 | 227 | $9,759 |
| 276 | 1,315 | $10,938 |
| 277 | 99,585 | $14,304 |
| 278 | 31,973 | $9,001 |
| 279 | 10 | $12,862 |
| 280 | 17,758 | $11,723 |
| 281 | 7,518 | $8,138 |
| 283 | 6,010 | $11,903 |
| 284 | 2,013 | $7,089 |
| 285 | 6,942 | $34,194 |
| 286 | 2,497 | $33,219 |
| 287 | 6,223 | $30,590 |
| 288 | 5,643 | $35,074 |
| 289 | 6,933 | $15,251 |
| 290 | 9,910 | $14,457 |
| 291 | 59 | $10,867 |
| 292 | 6,506 | $45,369 |
| 293 | 366 | $23,584 |
| 294 | 97,377 | $12,578 |
| 295 | 3,548 | $13,073 |
| 296 | 277,113 | $14,025 |
| 297 | 47,860 | $8,433 |
| 298 | 115 | $7,607 |
| 299 | 1,268 | $15,188 |
| 300 | 18,635 | $18,300 |
| 301 | 3,592 | $10,394 |
| 302 | 8,919 | $52,568 |
| 303 | 21,743 | $38,927 |
| 304 | 12,600 | $38,885 |
| 305 | 3,040 | $19,958 |
| 306 | 7,011 | $20,007 |
| 307 | 2,011 | $10,074 |
| 308 | 7,246 | $25,931 |
| 309 | 4,147 | $15,113 |
| 310 | 24,762 | $18,844 |
| 311 | 7,439 | $10,426 |
| 312 | 1,516 | $17,596 |
| 313 | 554 | $11,488 |
| 314 | 2 | $322,531 |
| 315 | 34,014 | $33,973 |
| 316 | 118,639 | $21,267 |
| 317 | 2,029 | $13,340 |
| 318 | 5,737 | $19,749 |
| 319 | 408 | $11,321 |
| 320 | 185,666 | $14,359 |
| 321 | 30,824 | $9,396 |
| 322 | 54 | $7,725 |
| 323 | 19,804 | $13,565 |
| 324 | 6,943 | $8,142 |
| 325 | 9,200 | $10,835 |
| 326 | 2,722 | $7,123 |
| 327 | 7 | $5,731 |
| 328 | 742 | $12,602 |
| 329 | 91 | $8,723 |
| 331 | 51,130 | $17,377 |
| 332 | 4,964 | $10,097 |
| 333 | 268 | $14,821 |
| 334 | 10,503 | $24,076 |
| 335 | 12,644 | $17,706 |
| 336 | 35,736 | $13,949 |
| 337 | 29,363 | $9,573 |
| 338 | 930 | $19,992 |
| 339 | 1,475 | $18,262 |
| 341 | 3,579 | $21,414 |
| 342 | 687 | $12,913 |
| 344 | 3,568 | $22,429 |
| 345 | 1,361 | $18,321 |
| 346 | 4,823 | $17,335 |
| 347 | 311 | $9,389 |
| 348 | 3,394 | $12,387 |
| 349 | 611 | $7,947 |
| 350 | 6,669 | $12,143 |
| 352 | 956 | $11,679 |
| 353 | 2,555 | $29,268 |
| 354 | 7,393 | $23,963 |
| 355 | 5,523 | $14,500 |
| 356 | 25,715 | $12,441 |
| 357 | 5,609 | $37,303 |
| 358 | 21,488 | $19,224 |
| 359 | 31,686 | $13,249 |
| 360 | 15,637 | $14,188 |
| 361 | 344 | $17,957 |
| 362 | 5 | $13,102 |
| 363 | 2,508 | $15,450 |
| 364 | 1,624 | $14,985 |
| 365 | 1,828 | $33,961 |
| 366 | 4,555 | $20,584 |
| 367 | 481 | $9,537 |
| 368 | 3,547 | $19,121 |
| 369 | 3,462 | $10,155 |
| 370 | 1,377 | $15,561 |
| 371 | 1,735 | $10,212 |
| 372 | 965 | $8,800 |
| 373 | 4,195 | $6,098 |
| 374 | 99 | $11,825 |
| 376 | 328 | $8,877 |
| 377 | 53 | $17,821 |
| 378 | 171 | $12,848 |
| 379 | 360 | $5,868 |
| 380 | 96 | $7,077 |
| 381 | 194 | $8,851 |
| 382 | 49 | $3,600 |
| 383 | 2,009 | $8,066 |
| 384 | 133 | $5,926 |
| 385 | 2 | $22,090 |
| 392 | 2,277 | $53,937 |
| 394 | 2,592 | $31,013 |
| 395 | 106,920 | $13,517 |
| 396 | 19 | $11,854 |
| 397 | 18,865 | $19,906 |
| 398 | 18,054 | $20,397 |
| 399 | 1,675 | $11,244 |
| 401 | 5,843 | $48,194 |
| 402 | 1,464 | $19,205 |
| 403 | 31,718 | $29,897 |
| 404 | 4,318 | $14,782 |
| 406 | 2,416 | $44,198 |
| 407 | 641 | $20,591 |
| 408 | 2,107 | $35,182 |
| 409 | 2,155 | $20,799 |
| 410 | 28,305 | $18,044 |
| 411 | 7 | $6,308 |
| 412 | 17 | $9,840 |
| 413 | 5,303 | $22,045 |
| 414 | 632 | $12,457 |
| 415 | 43,248 | $59,623 |
| 416 | 190,961 | $25,953 |
| 417 | 41 | $16,917 |
| 418 | 25,757 | $17,318 |
| 419 | 16,258 | $14,095 |
| 420 | 3,154 | $10,282 |
| 421 | 10,646 | $11,935 |
| 422 | 68 | $10,056 |
| 423 | 8,039 | $28,618 |
| 424 | 1,258 | $39,774 |
| 425 | 16,028 | $11,214 |
| 426 | 4,549 | $8,538 |
| 427 | 1,600 | $8,463 |
| 428 | 793 | $11,410 |
| 429 | 27,000 | $13,332 |
| 430 | 64,921 | $11,267 |
| 431 | 316 | $10,220 |
| 432 | 448 | $10,690 |
| 433 | 5,537 | $4,752 |
| 439 | 1,516 | $27,413 |
| 440 | 5,775 | $29,517 |
| 441 | 684 | $15,097 |
| 442 | 17,534 | $39,029 |
| 443 | 3,910 | $16,540 |
| 444 | 5,723 | $12,286 |
| 445 | 2,544 | $8,456 |
| 447 | 6,473 | $8,222 |
| 449 | 32,997 | $13,374 |
| 450 | 7,419 | $7,054 |
| 452 | 25,608 | $16,753 |
| 453 | 5,670 | $8,623 |
| 454 | 4,756 | $13,210 |
| 455 | 1,066 | $8,058 |
| 461 | 4,964 | $19,286 |
| 462 | 9,653 | $16,368 |
| 463 | 26,785 | $11,378 |
| 464 | 7,137 | $8,327 |
| 465 | 197 | $10,114 |
| 466 | 1,716 | $11,143 |
| 467 | 1,099 | $7,982 |
| 468 | 51,309 | $63,557 |
| 470 | 860 | $28,413 |
| 471 | 13,222 | $48,749 |
| 473 | 8,064 | $53,842 |
| 475 | 109,073 | $61,001 |
| 476 | 3,631 | $38,059 |
| 477 | 26,262 | $30,961 |
| 478 | 107,707 | $39,719 |
| 479 | 23,849 | $24,028 |
| 480 | 627 | $160,255 |
| 481 | 861 | $105,050 |
| 482 | 5,284 | $57,555 |
| 483 | 45,589 | $273,650 |
| 484 | 345 | $91,730 |
| 485 | 3,244 | $52,335 |
| 486 | 2,218 | $81,989 |
| 487 | 3,885 | $32,670 |
| 488 | 752 | $79,121 |
| 489 | 13,365 | $29,515 |
| 490 | 5,439 | $17,149 |
| 491 | 15,267 | $27,730 |
| 492 | 3,092 | $62,862 |
| 493 | 59,236 | $30,239 |
| 494 | 28,580 | $16,623 |
| 495 | 199 | $139,829 |
| 496 | 2,489 | $95,191 |
| 497 | 21,941 | $56,996 |
| 498 | 15,707 | $42,663 |
| 499 | 34,575 | $23,446 |
| 500 | 49,702 | $15,440 |
| 501 | 2,596 | $42,839 |
| 502 | 774 | $23,764 |
| 503 | 5,957 | $20,407 |
| 504 | 128 | $203,606 |
| 505 | 136 | $26,710 |
| 506 | 923 | $68,196 |
| 507 | 343 | $30,206 |
| 508 | 622 | $21,886 |
| 509 | 156 | $10,594 |
| 510 | 1,634 | $18,264 |
| 511 | 586 | $10,560 |
| 512 | 505 | $87,711 |
| 513 | 214 | $97,229 |
| 515 | 8,235 | $91,055 |
| 516 | 33,015 | $38,062 |
| 517 | 68,536 | $30,211 |
| 518 | 48,849 | $29,634 |
| 519 | 9,009 | $40,231 |
| 520 | 12,990 | $26,021 |
| 521 | 30,580 | $11,606 |
| 522 | 5,993 | $8,691 |
| 523 | 15,190 | $6,564 |
| 524 | 131,223 | $12,175 |
| 525 | 583 | $195,369 |
| 526 | 51,533 | $41,296 |
| 527 | 135,957 | $33,156 |
| 528 | 1,591 | $122,442 |
| 529 | 3,656 | $36,874 |
| 530 | 2,681 | $19,867 |
| 531 | 3,839 | $51,789 |
| 532 | 2,961 | $24,910 |
| 533 | 43,024 | $27,417 |
| 534 | 51,857 | $17,726 |
| 535 | 6,061 | $135,910 |
| 536 | 20,673 | $104,255 |
| 537 | 6,861 | $30,151 |
| 538 | 6,415 | $16,597 |
| 539 | 4,443 | $55,375 |
| 540 | 1,884 | $21,594 |
47. On pages 45661 through 45662, in Table I-Impact Analysis of Final Changes for FY 2004 Operating Prospective Payment System (Percent of Changes in Payments per Case), columns 4 and 10 are corrected to read as follows:
| Published new wage data)4 | Corrected new wage data4 | Published all FY 2004 changes10 | Corrected all FY 2004 changes10 | |
|---|---|---|---|---|
| (4) | (4) | (10) | (10) | |
| By Geographic Location | ||||
| All hospitals | -0.3 | -0.2 | 1.8 | 1.8 |
| Urban hospitals | -0.3 | -0.2 | 1.2 | 1.2 |
| Large urban areas(populations over 1 million) | -0.3 | -0.2 | 1.1 | 1.1 |
| Other urban areas(populations of 1 million of fewer) | -0.3 | -0.3 | 1.4 | 1.4 |
| Rural hospitals | -0.3 | 0.1 | 5.8 | 5.9 |
| Bed Size (Urban): | ||||
| 0-99 beds | 0.0 | 0.1 | 2.1 | 2.1 |
| 100-199 beds | -0.3 | -0.2 | 1.2 | 1.2 |
| 200-299 beds | -0.3 | -0.3 | 1.4 | 1.4 |
| 300-499 beds | -0.1 | 0.0 | 0.8 | 0.8 |
| 500 or more beds | -0.7 | -0.6 | 1.4 | 1.4 |
| Bed Size (Rural): | ||||
| 0-49 beds | -0.4 | 0.1 | 6.0 | 5.8 |
| 50-99 beds | -0.3 | 0.1 | 6.2 | 6.1 |
| 100-149 beds | -0.4 | 0.0 | 6.0 | 6.1 |
| 150-199 beds | -0.2 | 0.4 | 4.4 | 4.7 |
| 200 or more beds | -0.1 | 0.2 | 5.7 | 6.1 |
| Urban by Region: | ||||
| New England | -0.3 | -0.5 | 2.8 | 2.8 |
| Middle Atlantic | -0.9 | -0.8 | -2.8 | -2.7 |
| South Atlantic | -0.1 | -0.1 | 2.7 | 2.6 |
| East North Central | -0.6 | -0.6 | 2.7 | 2.6 |
| East South Central | 0.1 | 0.2 | 2.9 | 2.8 |
| West North Central | 0.0 | 0.1 | 3.1 | 3.1 |
| West South Central | -0.1 | 0.0 | 1.6 | 1.5 |
| Mountain | 0.5 | 0.8 | 4.4 | 4.3 |
| Pacific | -0.1 | 0.1 | -0.6 | -0.6 |
| Puerto Rico | -0.3 | -0.2 | 2.8 | 2.7 |
| Rural by Region: | ||||
| New England | -0.2 | 0.2 | 6.8 | 6.7 |
| Middle Atlantic | -0.4 | -0.3 | 4.1 | 4.0 |
| South Atlantic | -0.1 | 0.2 | 5.3 | 5.6 |
| East North Central | 0.1 | 0.5 | 4.5 | 5.0 |
| East South Central | -0.4 | -0.2 | 4.7 | 4.7 |
| West North Central | -0.1 | 0.7 | 7.9 | 7.8 |
| West South Central | -0.6 | -0.2 | 5.8 | 5.7 |
| Mountain | -0.3 | 0.0 | 7.1 | 6.8 |
| Pacific | -0.6 | 0.0 | 8.7 | 8.5 |
| Puerto Rico | -4.2 | -4.3 | -0.3 | -0.4 |
| By Payment Classification: | ||||
| Urban hospitals | -0.3 | -0.2 | 1.2 | 1.3 |
| Large urban areas (populations over 1 million) | -0.3 | -0.2 | 1.2 | 1.3 |
| Other urban areas (populations of 1 million of fewer) | -0.3 | -0.3 | 1.3 | 1.2 |
| Rural areas | -0.3 | 0.1 | 5.9 | 5.8 |
| Teaching Status: | ||||
| Non-teaching | -0.2 | 0.0 | 2.6 | 2.6 |
| Fewer than 100 Residents | -0.2 | 0.0 | 1.3 | 1.3 |
| 100 or more Residents | -0.7 | -0.7 | 1.2 | 1.3 |
| Urban DSH: | ||||
| Non-DSH | -0.2 | 0.0 | 2.5 | 2.5 |
| 100 or more beds | -0.4 | -0.3 | 0.9 | 1.0 |
| Less than 100 beds | -0.1 | 0.1 | 0.9 | 0.8 |
| Rural DSH: | ||||
| Sole Community (SCH) | -0.2 | 0.0 | 10.0 | 9.7 |
| Referral Center (RRC) | -0.3 | 0.2 | 4.5 | 4.5 |
| Other Rural: 100 or more beds | -0.7 | -0.3 | 2.5 | 2.5 |
| Less than 100 beds | -0.6 | -0.1 | 2.8 | 2.6 |
| Urban teaching and DSH: | ||||
| DSH | -0.4 | -0.3 | 0.9 | 0.9 |
| Teaching and no DSH | -0.3 | -0.2 | 2.1 | 2.1 |
| No teaching and DSH | -0.3 | -0.2 | 1.0 | 1.0 |
| No teaching and no DSH | -0.1 | 0.0 | 1.8 | 1.8 |
| Rural Hospital Types: | ||||
| Non special status hospitals | -0.5 | -0.1 | 2.7 | 2.8 |
| RRC | -0.2 | 0.5 | 3.5 | 3.5 |
| SCH | -0.1 | 0.0 | 10.8 | 10.5 |
| Medicare-dependent hospitals (MDH) | -0.5 | 0.2 | 3.3 | 3.1 |
| SCH and RRC | -0.2 | 0.0 | 7.4 | 7.2 |
| Type of Ownership: | ||||
| Voluntary | -0.3 | -0.2 | 2.2 | 2.2 |
| Proprietary | 0.0 | 0.1 | -2.1 | -2.2 |
| Government | -0.4 | -0.2 | 4.0 | 4.0 |
| Unknown 5 | -1.0 | -0.9 | 3.5 | 3.5 |
| Medicare Utilization as a Percent of Inpatient Days: | ||||
| 0-25 | 0.1 | 0.3 | 2.5 | 2.5 |
| 25-50 | -0.4 | -0.3 | 1.2 | 1.2 |
| 50-65 | -0.3 | -0.2 | 2.8 | 2.8 |
| Over 65 | -0.2 | 0.0 | 1.1 | 1.1 |
| Unknown | 0.1 | 0.3 | 1.7 | 1.7 |
| Hospitals Reclassified by the Medicare Geographic Classification Review Board: FY 2004 Reclassifications: | ||||
| All Reclassified Hospitals | -0.3 | 0.1 | 2.6 | 2.7 |
| Standardized Amount Only | -0.8 | -0.4 | 5.4 | 5.4 |
| Wage Index Only | -0.3 | 0.0 | 1.9 | 2.0 |
| Both | -0.3 | 0.1 | 4.1 | 5.8 |
| Nonreclassified Hospitals | -0.3 | -0.2 | 1.8 | 1.8 |
| All Reclassified Urban Hospitals | -0.3 | -0.2 | -1.8 | -1.8 |
| Standardized Amount Only | -0.9 | -0.8 | -4.6 | 4.8 |
| Wage Index Only | -0.3 | -0.3 | -4.1 | -4.2 |
| Both | 0.1 | 0.2 | 4.1 | 4.1 |
| Urban Nonreclassified Hospitals | -0.3 | -0.2 | 1.4 | 1.4 |
| All Reclassified Rural Hospitals | -0.2 | 0.2 | 5.5 | 5.7 |
| Standardized Amount Only | -0.1 | 0.4 | 2.3 | 6.9 |
| Wage Index Only | -0.3 | 0.2 | 5.7 | 5.6 |
| Both | 0.0 | 0.6 | 5.4 | 5.4 |
| Rural Nonreclassified Hospitals | -0.3 | 0.0 | 6.2 | 6.2 |
| Other Reclassified Hospitals (Section 1886(D)(8)(B)) | 0.0 | -0.3 | 3.0 | 3.5 |
| 4 This column displays the impact of updating the wage index with wage data from hospitals' FY 2000 cost reports. | ||||
| 10 This column shows changes in payments from FY 2003 to FY 2004. It incorporates all of the changes displayed in columns 2, 3, and 8 of the final rule (the changes displayed in columns 4, 5, and 6 are included in column 8). It also reflects the impact of the FY 2004 update, changes in hospitals' reclassification status in FY 2004 compared to FY 2003, and the difference in outlier payments from FY 2003 to FY 2004. The sum of these impacts may be different from the percentage changes shown here due to rounding and interactive effect. | ||||
48. On page 45662, in Table I-Impact Analysis of Final Changes for FY 2004 Operating Prospective Payment System (Percent of Changes in Payments per Case), line 39 (All Reclassified Hospitals-Standardized Amount Only), column 10 the figure "-4.6" is corrected to read "4.6".
49. On page 45664, bottom half of the page,
a. First column, second full paragraph, line 13, the figure "1.005522" is corrected to read "1.002588".
b. Second column, second full paragraph, lines 8 and 9, the figure "$ 4.4 million" is corrected to read "2.2 million"; and
c. Third column, first partial paragraph, line 1, the figure "1.005522" is corrected to read "1.002588".
50. On page 45670, first column, first paragraph, fourth bulleted item,
a. Line 4, the figure "1.0059" is corrected to read "1.0026"; and
b. Line 5, the figure "0.9522" is corrected to read "0.9523".
III. Waiver of Proposed Rulemaking and Delay in Effective Date
We ordinarily publish a notice of proposed rulemaking in the Federal Register to provide a period for public comment before the provisions of a document take effect. However, we can waive this procedure, if we find good cause that notice and comment procedure is impracticable, unnecessary, or contrary to the public interest and incorporate a statement of the finding and the reasons for it into the notice issued. We can also waive the 30-day delayed effective date of the Administrative Procedure Act (5 U.S.C. 553(d)) when there is good cause to do so and we publish in the rule an explanation of our good cause.
In this document, we are correcting an error related to our discussion of DRG 525, and the assignment of procedure code 37.62. In light of the much lower charges associated with code 37.62, we are removing all cases with code 37.62 from DRG 525 and reassigning them to DRGs 104 and 105. This correction is necessary to ensure adequate payment for this procedure and for the other procedures that will continue to be assigned to DRG 525. Especially because these are frequently life-saving procedures, it is important that the Medicare payment amount better reflect hospitals' true costs in performing these procedures. We are concerned that, without this correction, payments for the other procedures in DRG 525, particularly procedure code 37.66, will be inadequate. As a result, Medicare beneficiaries' access to these important procedures could be limited. Accordingly, we believe there is a compelling public interest to waive notice and comment rulemaking, as well as the 30-day delay in effective date, for this correction.
We also find it unnecessary to undertake notice and comment rulemaking with respect to the other corrections contained in this document because the remainder of this document merely provides technical corrections to the final rule. We are merely correcting computational or technical errors and making a variety of typographical and grammatical corrections. We are not making changes to payment methodology or payment policy. For example, our changes to the hospital wage index and budget neutrality factor are based upon computational methodologies for which we previously provided notice and received comments. By correcting these data we are not announcing new computational methodologies, but merely ensuring that the data used in the calculations are correct. Similarly, our changes to the add-on payment for InFUSE merely incorporate the correct data into our previously published methodologies for calculating add-on payments. Thus, because the public has already had the opportunity to comment on the payment methodology used in IPPS, additional comment would be unnecessary.
In addition, we believe it is impracticable at this point in time to solicit additional comments or to delay the effective date of these corrections beyond October 1, 2003. The Social Security Act, in section 1886(d)(3), requires a national adjusted DRG prospective payment rate to be in place at the beginning of the fiscal year. Because the fiscal year begins on October 1, 2003, it is imperative that we ensure that the correct rates are in place by October 1, 2003, and it would not have been possible to publish a notice and receive comments on it in the brief period of time between discovering our errors and the October 1, 2003 effective date for the updated IPPS rates.
Finally, we believe that engaging in notice and comment prior to making these corrections or delaying the effective date beyond October 1, 2003 would be contrary to the public interest. As a matter of good public policy, the rates used in the IPPS should not be based on miscalculations or inappropriate data. The public interest is served by ensuring that the rates used in the IPPS are correct. Thus, it would be contrary to the public interest to delay implementing such corrected rates in order either to engage in notice and comment rulemaking or to provide for a 30-day delay in effective date. Therefore, we find good cause to waive notice and comment procedures, as well as the 30-day delay in effective date.
(Catalog of Federal Domestic Assistance Program No. 93.773, Medicare-Hospital Insurance; and Program No. 93.774, Medicare-Supplementary Medical Insurance Program)
Dated: Sepember 30, 2003.
Ann C. Agnew,
Executive Secretary to the Department.
[FR Doc. 03-25192 Filed 9-30-03; 3:27 pm]
BILLING CODE 4120-01-P