Medicare Program; Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2004 Rates; Correction

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, InFUSE

TM

Bone Graft/LT-CAGE

TM

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 InFUSE

TM

is reported to be $8,900, and a single level fusion requires two of the products. Therefore, the total cost for the InFUSE

TM

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 InFUSE

TM

is $8,900.” are corrected to read “The average cost of the InFUSE

TM

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 InFUSE

TM

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 factor

1

1.0110

1.0070

1.0070

0.70

GAF/DRG Adjustment Factor

1

0.9957

1.0026

1.0026

0.26

Outlier Adjustment Factor

2

0.9469

0.9523

1.0057

0.57

Exceptions Adjustment Factor

2

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:

Table 1A.—National Adjusted Operating Standardized Amounts, Labor/Nonlabor

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:

Table 1C.—Adjusted Operating Standardized Amounts for Puerto Rico, Labor/Nonlabor

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:

Table 1D.—Capital Standard Federal Payment Rate

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:

Table 4A.—Wage Index and Capital Geographic Adjustment Factor (GAF) for Urban Areas

Urban area

(constituent counties)

Wage index

GAF

0040

2

Abilene, TX

0.7780

0.8421

Taylor, TX

0060 Aguadilla, PR

0.4306

0.5616

Aguada, PR

Aguadilla, PR

Moca, PR

0080 Akron, OH

0.9442

0.9614

Portage, OH

Summit, OH

0120 Albany, GA

1.0863

1.0583

Dougherty, GA

Lee, GA

0160

2

Albany-Schenectady-Troy, NY

0.8526

0.8965

Albany, NY

Montgomery, NY

Rensselaer, NY

Saratoga, NY

Schenectady, NY

Schoharie, NY

0200 Albuquerque, NM

0.9300

0.9515

Bernalillo, NM

Sandoval, NM

Valencia, NM

0220 Alexandria, LA

0.8037

0.8610

Rapides, LA

0240 Allentown-Bethlehem-Easton, PA

0.9721

0.9808

Carbon, PA

Lehigh, PA

Northampton, PA

0280 Altoona, PA

0.8827

0.9181

Blair, PA

0320 Amarillo, TX

0.8986

0.9294

Potter, TX

Randall, TX

0380 Anchorage, AK

1.2351

1.1556

Anchorage, AK

0440 Ann Arbor, MI

1.1074

1.0724

Lenawee, MI

Livingston, MI

Washtenaw, MI

0450 Anniston, AL

0.8090

0.8649

Calhoun, AL

0460

2

Appleton-Oshkosh-Neenah, WI

0.9304

0.9518

Calumet, WI

Outagamie, WI

Winnebago, WI

0470 Arecibo, PR

0.4155

0.5480

Arecibo, PR

Camuy, PR

Hatillo, PR

0480 Asheville, NC

0.9720

0.9807

Buncombe, NC

Madison, NC

0500 Athens, GA

0.9818

0.9875

Clarke, GA

Madison, GA

Oconee, GA

0520

1

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

0560 Atlantic-Cape May, NJ

1.0795

1.0538

Atlantic, NJ

Cape May, NJ

0580 Auburn-Opelika, AL

0.8494

0.8942

Lee, AL

0600 Augusta-Aiken, GA-SC

0.9625

0.9742

Columbia, GA

McDuffie, GA

Richmond, GA

Aiken, SC

Edgefield, SC

0640

1

Austin-San Marcos, TX

0.9609

0.9731

Bastrop, TX

Caldwell, TX

Hays, TX

Travis, TX

Williamson, TX

0680

2

Bakersfield, CA

0.9967

0.9977

Kern, CA

0720

1

Baltimore, MD

0.9919

0.9944

Anne Arundel, MD

Baltimore, MD

Baltimore City, MD

Carroll, MD

Harford, MD

Howard, MD

Queen Anne's, MD

0733 Bangor, ME

0.9904

0.9934

Penobscot, ME

0743 Barnstable-Yarmouth, MA

1.2956

1.1940

Barnstable, MA

0760 Baton Rouge, LA

0.8406

0.8879

Ascension, LA

East Baton Rouge, LA

Livingston, LA

West Baton Rouge, LA

0840 Beaumont-Port Arthur, TX

0.8424

0.8892

Hardin, TX

Jefferson, TX

Orange, TX

0860 Bellingham, WA

1.1757

1.1172

Whatcom, WA

0870 Benton Harbor, MI

0.8935

0.9258

Berrien, MI

0875

1

Bergen-Passaic, NJ

1.1731

1.1155

Bergen, NJ

Passaic, NJ

0880 Billings, MT

0.8961

0.9276

Yellowstone, MT

0920 Biloxi-Gulfport-Pascagoula, MS

0.9029

0.9324

Hancock, MS

Harrison, MS

Jackson, MS

0960

2

Binghamton, NY

0.8526

0.8965

Broome, NY

Tioga, NY

1000 Birmingham, AL

0.9212

0.9453

Blount, AL

Jefferson, AL

St. Clair, AL

Shelby, AL

1010 Bismarck, ND

0.8033

0.8607

Burleigh, ND

Morton, ND

1020

2

Bloomington, IN

0.8824

0.9179

Monroe, IN

1040 Bloomington-Normal, IL

0.8832

0.9185

McLean, IL

1080 Boise City, ID

0.9232

0.9467

Ada, ID

Canyon, ID

1123

1

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

1125 Boulder-Longmont, CO

1.0049

1.0034

Boulder, CO

1145 Brazoria, TX

0.8137

0.8683

Brazoria, TX

1150 Bremerton, WA

1.0580

1.0394

Kitsap, WA

1240 Brownsville-Harlingen-San Benito, TX

1.0303

1.0207

Cameron, TX

1260 Bryan-College Station, TX

0.9019

0.9317

Brazos, TX

1280

1

Buffalo-Niagara Falls, NY

0.9604

0.9727

Erie, NY

Niagara, NY

1303 Burlington, VT

0.9704

0.9796

Chittenden, VT

Franklin, VT

Grand Isle, VT

1310 Caguas, PR

0.4201

0.5522

Caguas, PR

Cayey, PR

Cidra, PR

Gurabo, PR

San Lorenzo, PR

1320 Canton-Massillon, OH

0.9071

0.9354

Carroll, OH

Stark, OH

1350 Casper, WY

0.9209

0.9451

Natrona, WY

1360 Cedar Rapids, IA

0.8874

0.9215

Linn, IA

1400 Champaign-Urbana, IL

0.9907

0.9936

Champaign, IL

1440 Charleston-North Charleston, SC

0.9332

0.9538

Berkeley, SC

Charleston, SC

Dorchester, SC

1480 Charleston, WV

0.8880

0.9219

Kanawha, WV

Putnam, WV

1520

1

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

1540 Charlottesville, VA

1.0025

1.0017

Albemarle, VA

Charlottesville City, VA

Fluvanna, VA

Greene, VA

1560 Chattanooga, TN-GA

0.9086

0.9365

Catoosa, GA

Dade, GA

Walker, GA

Hamilton, TN

Marion, TN

1580

2

Cheyenne, WY

0.9110

0.9382

Laramie, WY

1600

1

Chicago, IL

1.0892

1.0603

Cook, IL

DeKalb, IL

DuPage, IL

Grundy, IL

Kane, IL

Kendall, IL

Lake, IL

McHenry, IL

Will, IL

1620 Chico-Paradise, CA

1.0193

1.0132

Butte, CA

1640

1

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

1660 Clarksville-Hopkinsville, TN-KY

0.8354

0.8841

Christian, KY

Montgomery, TN

1680

1

Cleveland-Lorain-Elyria, OH

0.9671

0.9774

Ashtabula, OH

Cuyahoga, OH

Geauga, OH

Lake, OH

Lorain, OH

Medina, OH

1720 Colorado Springs, CO

0.9833

0.9885

El Paso, CO

1740 Columbia, MO

0.8695

0.9087

Boone, MO

1760 Columbia, SC

0.8902

0.9234

Lexington, SC

Richland, SC

1800 Columbus, GA-AL

0.8694

0.9086

Russell, AL

Chattahoochee, GA

Harris, GA

Muscogee, GA

1840

1

Columbus, OH

0.9648

0.9758

Delaware, OH

Fairfield, OH

Franklin, OH

Licking, OH

Madison, OH

Pickaway, OH

1880 Corpus Christi, TX

0.8521

0.8962

Nueces, TX

San Patricio, TX

1890 Corvallis, OR

1.1516

1.1015

Benton, OR

1900

2

Cumberland, MD-WV (MD Hospitals)

0.9125

0.9392

Allegany, MD

Mineral, WV

1900 Cumberland, MD-WV (WV Hospitals)

0.8200

0.8729

Allegany, MD

Mineral, WV

1920

1

Dallas, TX

0.9974

0.9982

Collin, TX

Dallas, TX

Denton, TX

Ellis, TX

Henderson, TX

Hunt, TX

Kaufman, TX

Rockwall, TX

1950 Danville, VA

0.9035

0.9329

Danville City, VA

Pittsylvania, VA

1960 Davenport-Moline-Rock Island, IA-IL

0.8985

0.9293

Scott, IA

Henry, IL

Rock Island, IL

2000 Dayton-Springfield, OH

0.9529

0.9675

Clark, OH

Greene, OH

Miami, OH

Montgomery, OH

2020 Daytona Beach, FL

0.9060

0.9346

Flagler, FL

Volusia, FL

2030 Decatur, AL

0.8828

0.9182

Lawrence, AL

Morgan, AL

2040

2

Decatur, IL

0.8254

0.8769

Macon, IL

2080

1

Denver, CO

1.0837

1.0566

Adams, CO

Arapahoe, CO

Broomfield, CO

Denver, CO

Douglas, CO

Jefferson, CO

2120 Des Moines, IA

0.9106

0.9379

Dallas, IA

Polk, IA

Warren, IA

2160

1

Detroit, MI

1.0101

1.0069

Lapeer, MI

Macomb, MI

Monroe, MI

Oakland, MI

St. Clair, MI

Wayne, MI

2180 Dothan, AL

0.7765

0.8409

Dale, AL

Houston, AL

2190 Dover, DE

0.9805

0.9866

Kent, DE

2200 Dubuque, IA

0.8886

0.9223

Dubuque, IA

2240 Duluth-Superior, MN-WI

1.0171

1.0117

St. Louis, MN

Douglas, WI

2281 Dutchess County, NY

1.0934

1.0631

Dutchess, NY

2290

2

Eau Claire, WI

0.9304

0.9518

Chippewa, WI

Eau Claire, WI

2320 El Paso, TX

0.9196

0.9442

El Paso, TX

2330 Elkhart-Goshen, IN

0.9783

0.9851

Elkhart, IN

2335

2

Elmira, NY

0.8526

0.8965

Chemung, NY

2340 Enid, OK

0.8559

0.8989

Garfield, OK

2360 Erie, PA

0.8601

0.9019

Erie, PA

2400 Eugene-Springfield, OR

1.1456

1.0976

Lane, OR

2440

2

Evansville-Henderson, IN-KY (IN Hospitals)

0.8824

0.9179

Posey, IN

Vanderburgh, IN

Warrick, IN

Henderson, KY

2440 Evansville-Henderson, IN-KY (KY Hospitals)

0.8429

0.8896

Posey, IN

Vanderburgh, IN

Warrick, IN

Henderson, KY

2520 Fargo-Moorhead, ND-MN

0.9797

0.9861

Clay, MN

Cass, ND

2560 Fayetteville, NC

0.8986

0.9294

Cumberland, NC

2580 Fayetteville-Springdale-Rogers, AR

0.8396

0.8872

Benton, AR

Washington, AR

2620 Flagstaff, AZ-UT

1.1333

1.0895

Coconino, AZ

Kane, UT

2640 Flint, MI

1.0858

1.0580

Genesee, MI

2650 Florence, AL

0.7797

0.8433

Colbert, AL

Lauderdale, AL

2655 Florence, SC

0.8709

0.9097

Florence, SC

2670 Fort Collins-Loveland, CO

1.0148

1.0101

Larimer, CO

2680

1

Ft. Lauderdale, FL

1.0479

1.0326

Broward, FL

2700 Fort Myers-Cape Coral, FL

0.9816

0.9874

Lee, FL

2710 Fort Pierce-Port St. Lucie, FL

1.0124

1.0085

Martin, FL

St. Lucie, FL

2720 Fort Smith, AR-OK

0.8424

0.8892

Crawford, AR

Sebastian, AR

Sequoyah, OK

2750 Fort Walton Beach, FL

0.8966

0.9280

Okaloosa, FL

2760 Fort Wayne, IN

0.9585

0.9714

Adams, IN

Allen, IN

De Kalb, IN

Huntington, IN

Wells, IN

Whitley, IN

2800

1

Forth Worth-Arlington, TX

0.9359

0.9556

Hood, TX

Johnson, TX

Parker, TX

Tarrant, TX

2840 Fresno, CA

1.0142

1.0097

Fresno, CA

Madera, CA

2880 Gadsden, AL

0.8229

0.8750

Etowah, AL

2900 Gainesville, FL

0.9693

0.9789

Alachua, FL

2920 Galveston-Texas City, TX

0.9279

0.9500

Galveston, TX

2960 Gary, IN

0.9410

0.9592

Lake, IN

Porter, IN

2975

2

Glens Falls, NY

0.8526

0.8965

Warren, NY

Washington, NY

2980 Goldsboro, NC

0.8622

0.9035

Wayne, NC

2985 Grand Forks, ND-MN (ND Hospitals)

0.8636

0.9045

Polk, MN

Grand Forks, ND

2985

2

Grand Forks, ND-MN (MN Hospitals)

0.9345

0.9547

Polk, MN

Grand Forks, ND

2995 Grand Junction, CO

0.9921

0.9946

Mesa, CO

3000

1

Grand Rapids-Muskegon-Holland, MI

0.9469

0.9633

Allegan, MI

Kent, MI

Muskegon, MI

Ottawa, MI

3040 Great Falls, MT

0.8918

0.9246

Cascade, MT

3060 Greeley, CO

0.9453

0.9622

Weld, CO

3080 Green Bay, WI

0.9518

0.9667

Brown, WI

3120

1

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

3150 Greenville, NC

0.9167

0.9422

Pitt, NC

3160 Greenville-Spartanburg-Anderson, SC

0.9335

0.9540

Anderson, SC

Cherokee, SC

Greenville, SC

Pickens, SC

Spartanburg, SC

3180 Hagerstown, MD

0.9172

0.9425

Washington, MD

3200 Hamilton-Middletown, OH

0.9214

0.9455

Butler, OH

3240 Harrisburg-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

3285

2

Hattiesburg, MS

0.7778

0.8419

Forrest, MS

Lamar, MS

3290 Hickory-Morganton-Lenoir, NC

0.9242

0.9475

Alexander, NC

Burke, NC

Caldwell, NC

Catawba, NC

3320 Honolulu, HI

1.1116

1.0751

Honolulu, HI

3350 Houma, LA

0.7771

0.8414

Lafourche, LA

Terrebonne, LA

3360

1

Houston, TX

0.9834

0.9886

Chambers, TX

Fort Bend, TX

Harris, TX

Liberty, TX

Montgomery, TX

Waller, TX

3400 Huntington-Ashland, WV-KY-OH

0.9595

0.9721

Boyd, KY

Carter, KY

Greenup, KY

Lawrence, OH

Cabell, WV

Wayne, WV

3440 Huntsville, AL

0.9245

0.9477

Limestone, AL

Madison, AL

3480

1

Indianapolis, IN

0.9916

0.9942

Boone, IN

Hamilton, IN

Hancock, IN

Hendricks, IN

Johnson, IN

Madison, IN

Marion, IN

Morgan, IN

Shelby, IN

3500 Iowa City, IA

0.9548

0.9688

Johnson, IA

3520 Jackson, MI

0.8986

0.9294

Jackson, MI

3560 Jackson, MS

0.8399

0.8874

Hinds, MS

Madison, MS

Rankin, MS

3580 Jackson, TN

0.8984

0.9293

Madison, TN

Chester, TN

3600

1

Jacksonville, FL

0.9563

0.9699

Clay, FL

Duval, FL

Nassau, FL

St. Johns, FL

3605 Jacksonville, NC

0.8544

0.8978

Onslow, NC

3610

2

Jamestown, NY

0.8526

0.8965

Chautauqua, NY

3620

2

Janesville-Beloit, WI

0.9304

0.9518

Rock, WI

3640 Jersey City, NJ

1.1115

1.0751

Hudson, NJ

3660 Johnson 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

3660

2

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

3680

2

Johnstown, PA

0.8378

0.8859

Cambria, PA

Somerset, PA

3700 Jonesboro, AR

0.7809

0.8442

Craighead, AR

3710 Joplin, MO

0.8681

0.9077

Jasper, MO

Newton, MO

3720 Kalamazoo-Battlecreek, MI

1.0500

1.0340

Calhoun, MI

Kalamazoo, MI

Van Buren, MI

3740 Kankakee, IL

1.0419

1.0285

Kankakee, IL

3760

1

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

3800 Kenosha, WI

0.9761

0.9836

Kenosha, WI

3810 Killeen-Temple, TX

0.9159

0.9416

Bell, TX

Coryell, TX

3840 Knoxville, TN

0.8820

0.9176

Anderson, TN

Blount, TN

Knox, TN

Loudon, TN

Sevier, TN

Union, TN

3850 Kokomo, IN

0.9045

0.9336

Howard, IN

Tipton, IN

3870

2

La Crosse, WI-MN

0.9304

0.9518

Houston, MN

La Crosse, WI

3880 Lafayette, LA

0.8225

0.8748

Acadia, LA

Lafayette, LA

St. Landry, LA

St. Martin, LA

3920

2

Lafayette, IN

0.8824

0.9179

Clinton, IN

Tippecanoe, IN

3960 Lake Charles, LA

0.7841

0.8466

Calcasieu, LA

3980

2

Lakeland-Winter Haven, FL

0.8855

0.9201

Polk, FL

4000 Lancaster, PA

0.9282

0.9503

Lancaster, PA

4040 Lansing-East Lansing, MI

0.9714

0.9803

Clinton, MI

Eaton, MI

Ingham, MI

4080 Laredo, TX

0.8091

0.8650

Webb, TX

4100 Las Cruces, NM

0.8688

0.9082

Dona Ana, NM

4120

1

Las Vegas, NV-AZ

1.1528

1.1023

Mohave, AZ

Clark, NV

Nye, NV

4150

2

Lawrence, KS

0.8074

0.8637

Douglas, KS

4200 Lawton, OK

0.8267

0.8778

Comanche, OK

4243 Lewiston-Auburn, ME

0.9383

0.9573

Androscoggin, ME

4280 Lexington, KY

0.8685

0.9080

Bourbon, KY

Clark, KY

Fayette, KY

Jessamine, KY

Madison, KY

Scott, KY

Woodford, KY

4320 Lima, OH

0.9522

0.9670

Allen, OH

Auglaize, OH

4360 Lincoln, NE

1.0033

1.0023

Lancaster, NE

4400 Little Rock-North Little Rock, AR

0.8923

0.9249

Faulkner, AR

Lonoke, AR

Pulaski, AR

Saline, AR

4420 Longview-Marshall, TX

0.9113

0.9384

Gregg, TX

Harrison, TX

Upshur, TX

4480

1

Los Angeles-Long Beach, CA

1.1832

1.1221

Los Angeles, CA

4520

1

Louisville, KY-IN

0.9242

0.9475

Clark, IN

Floyd, IN

Harrison, IN

Scott, IN

Bullitt, KY

Jefferson, KY

Oldham, KY

4600 Lubbock, TX

0.8272

0.8782

Lubbock, TX

4640 Lynchburg, VA

0.9134

0.9399

Amherst, VA

Bedford, VA

Bedford City, VA

Campbell, VA

Lynchburg City, VA

4680 Macon, GA

0.8975

0.9286

Bibb, GA

Houston, GA

Jones, GA

Peach, GA

Twiggs, GA

4720 Madison, WI

1.0264

1.0180

Dane, WI

4800 Mansfield, OH

0.9180

0.9431

Crawford, OH

Richland, OH

4840 Mayaguez, PR

0.4795

0.6045

Anasco, PR

Cabo Rojo, PR

Hormigueros, PR

Mayaguez, PR

Sabana Grande, PR

San German, PR

4880 McAllen-Edinburg-Mission, TX

0.8381

0.8861

Hidalgo, TX

4890 Medford-Ashland, OR

1.0772

1.0522

Jackson, OR

4900 Melbourne-Titusville-Palm Bay, FL

0.9776

0.9846

Brevard, Fl

4920

1

Memphis, TN-AR-MS

0.9009

0.9310

Crittenden, AR

DeSoto, MS

Fayette, TN

Shelby, TN

Tipton, TN

4940

2

Merced, CA

0.9967

0.9977

Merced, CA

5000

1

Miami, FL

0.9894

0.9927

Dade, FL

5015

1

Middlesex-Somerset-Hunterdon, NJ

1.1366

1.0916

Hunterdon, NJ

Middlesex, NJ

Somerset, NJ

5080

1

Milwaukee-Waukesha, WI

0.9988

0.9992

Milwaukee, WI

Ozaukee, WI

Washington, WI

Waukesha, WI

5120

1

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

5140 Missoula, MT

0.8884

0.9222

Missoula, MT

5160 Mobile, AL

0.7994

0.8579

Baldwin, AL

Mobile, AL

5170 Modesto, CA

1.1275

1.0856

Stanislaus, CA

5190

1

Monmouth-Ocean, NJ

1.1083

1.0730

Monmouth, NJ

Ocean, NJ

5200 Monroe, LA

0.7922

0.8526

Ouachita, LA

5240 Montgomery, AL

0.7907

0.8514

Autauga, AL

Elmore, AL

Montgomery, AL

5280

2

Muncie, IN

0.8824

0.9179

Delaware, IN

5330 Myrtle Beach, SC

0.9112

0.9383

Horry, SC

5345 Naples, FL

0.9790

0.9856

Collier, FL

5360

1

Nashville, TN

0.9855

0.9900

Cheatham, TN

Davidson, TN

Dickson, TN

Robertson, TN

Rutherford TN

Sumner, TN

Williamson, TN

Wilson, TN

5380

1

Nassau-Suffolk, NY

1.3140

1.2056

Nassau, NY

Suffolk, NY

5483

1

New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT

1.2468

1.1631

Fairfield, CT

New Haven, CT

5523

2

New London-Norwich, CT

1.2183

1.1448

New London, CT

5560

1

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

5600

1

New York, NY

1.4018

1.2602

Bronx, NY

Kings, NY

New York, NY

Putnam, NY

Queens, NY

Richmond, NY

Rockland, NY

Westchester, NY

5640

1

Newark, NJ

1.1518

1.1016

Essex, NJ

Morris, NJ

Sussex, NJ

Union, NJ

Warren, NJ

5660 Newburgh, NY-PA

1.1509

1.1010

Orange, NY

Pike, PA

5720

1

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

5775

1

Oakland, CA

1.5119

1.3272

Alameda, CA

Contra Costa, CA

5790 Ocala, FL

0.9728

0.9813

Marion, FL

5800 Odessa-Midland, TX

0.9327

0.9534

Ector, TX

Midland, TX

5880

1

Oklahoma City, OK

0.8984

0.9293

Canadian, OK

Cleveland, OK

Logan, OK

McClain, OK

Oklahoma, OK

Pottawatomie, OK

5910 Olympia, WA

1.0963

1.0650

Thurston, WA

5920 Omaha, NE-IA

0.9745

0.9825

Pottawattamie, IA

Cass, NE

Douglas, NE

Sarpy, NE

Washington, NE

5945

1

Orange County, CA

1.1492

1.0999

Orange, CA

5960

1

Orlando, FL

0.9654

0.9762

Lake, FL

Orange, FL

Osceola, FL

Seminole, FL

5990 Owensboro, KY

0.8374

0.8856

Daviess, KY

6015

2

Panama City, FL

0.8855

0.9201

Bay, FL

6020 Parkersburg-Marietta, WV-OH (WV Hospitals)

0.8039

0.8612

Washington, OH

Wood, WV

6020

2

Parkersburg-Marietta, WV-OH (OH Hospitals)

0.8820

0.9176

Washington, OH

Wood, WV

6080

2

Pensacola, FL

0.8855

0.9201

Escambia, FL

Santa Rosa, FL

6120 Peoria-Pekin, IL

0.8734

0.9115

Peoria, IL

Tazewell, IL

Woodford, IL

6160

1

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

6200

1

Phoenix-Mesa, AZ

1.0129

1.0088

Maricopa, AZ

Pinal, AZ

6240 Pine Bluff, AR

0.7865

0.8483

Jefferson, AR

6280

1

Pittsburgh, PA

0.8901

0.9234

Allegheny, PA

Beaver, PA

Butler, PA

Fayette, PA

Washington, PA

Westmoreland, PA

6323

2

Pittsfield, MA

1.0432

1.0294

Berkshire, MA

6340 Pocatello, ID

0.9249

0.9479

Bannock, ID

6360 Ponce, PR

0.4708

0.5970

Guayanilla, PR

Juana Diaz, PR

Penuelas, PR

Ponce, PR

Villalba, PR

Yauco, PR

6403 Portland, ME

0.9949

0.9965

Cumberland, ME

Sagadahoc, ME

York, ME

6440

1

Portland-Vancouver, OR-WA

1.1213

1.0816

Clackamas, OR

Columbia, OR

Multnomah, OR

Washington, OR

Yamhill, OR

Clark, WA

6483

1

Providence-Warwick-Pawtucket, RI

1.0977

1.0659

Bristol, RI

Kent, RI

Newport, RI

Providence, RI

Washington, RI

6520 Provo-Orem, UT

0.9976

0.9984

Utah, UT

6560

2

Pueblo, CO

0.9328

0.9535

Pueblo, CO

6580 Punta Gorda, FL

0.9510

0.9662

Charlotte, FL

6600

2

Racine, WI

0.9304

0.9518

Racine, WI

6640

1

Raleigh-Durham-Chapel Hill, NC

0.9959

0.9972

Chatham, NC

Durham, NC

Franklin, NC

Johnston, NC

Orange, NC

Wake, NC

6660 Rapid City, SD

0.8806

0.9166

Pennington, SD

6680 Reading, PA

0.9133

0.9398

Berks, PA

6690 Redding, CA

1.1352

1.0907

Shasta, CA

6720 Reno, NV

1.0682

1.0462

Washoe, NV

6740 Richland-Kennewick-Pasco, WA

1.0609

1.0413

Benton, WA

Franklin, WA

6760 Richmond-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

6780

1

Riverside-San Bernardino, CA

1.1348

1.0905

Riverside, CA

San Bernardino, CA

6800 Roanoke, VA

0.8700

0.9090

Botetourt, VA

Roanoke, VA

Roanoke City, VA

Salem City, VA

6820 Rochester, MN

1.1739

1.1160

Olmsted, MN

6840

1

Rochester, NY

0.9430

0.9606

Genesee, NY

Livingston, NY

Monroe, NY

Ontario, NY

Orleans, NY

Wayne, NY

6880 Rockford, IL

0.9666

0.9770

Boone, IL

Ogle, IL

Winnebago, IL

6895 Rocky Mount, NC

0.9076

0.9358

Edgecombe, NC

Nash, NC

6920

1

Sacramento, CA

1.1845

1.1229

El Dorado, CA

Placer, CA

Sacramento, CA

6960 Saginaw-Bay City-Midland, MI

1.0032

1.0022

Bay, MI

Midland, MI

Saginaw, MI

6980 St. Cloud, MN

0.9679

0.9779

Benton, MN

Stearns, MN

7000

2

St. Joseph, MO

0.8056

0.8624

Andrew, MO

Buchanan, MO

7040

1

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

7080 Salem, OR

1.0482

1.0328

Marion, OR

Polk, OR

7120 Salinas, CA

1.4339

1.2799

Monterey, CA

7160

1

Salt Lake City-Ogden, UT

0.9913

0.9940

Davis, UT

Salt Lake, UT

Weber, UT

7200 San Angelo, TX

0.8535

0.8972

Tom Green, TX

7240

1

San Antonio, TX

0.8870

0.9212

Bexar, TX

Comal, TX

Guadalupe, TX

Wilson, TX

7320

1

San Diego, CA

1.1147

1.0772

San Diego, CA

7360

1

San Francisco, CA

1.4514

1.2906

Marin, CA

San Francisco, CA

San Mateo, CA

7400

1

San Jose, CA

1.4626

1.2974

Santa Clara, CA

7440

1

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

7460 San Luis Obispo-Atascadero-Paso Robles, CA

1.1429

1.0958

San Luis Obispo, CA

7480 Santa Barbara-Santa Maria-Lompoc, CA

1.0441

1.0300

Santa Barbara, CA

7485 Santa Cruz-Watsonville, CA

1.2942

1.1932

Santa Cruz, CA

7490 Santa Fe, NM

1.0653

1.0443

Los Alamos, NM

Santa Fe, NM

7500 Santa Rosa, CA

1.2877

1.1891

Sonoma, CA

7510 Sarasota-Bradenton, FL

0.9971

0.9980

Manatee, FL

Sarasota, FL

7520 Savannah, GA

0.9488

0.9646

Bryan, GA

Chatham, GA

Effingham, GA

7560 Scranton—Wilkes-Barre—Hazleton, PA

0.8412

0.8883

Columbia, PA

Lackawanna, PA

Luzerne, PA

Wyoming, PA

7600

1

Seattle-Bellevue-Everett, WA

1.1562

1.1045

Island, WA

King, WA

Snohomish, WA

7610

2

Sharon, PA

0.8378

0.8859

Mercer, PA

7620

2

Sheboygan, WI

0.9304

0.9518

Sheboygan, WI

7640 Sherman-Denison, TX

0.9700

0.9794

Grayson, TX

7680 Shreveport-Bossier City, LA

0.9083

0.9363

Bossier, LA

Caddo, LA

Webster, LA

7720 Sioux City, IA-NE

0.8993

0.9299

Woodbury, IA

Dakota, NE

7760 Sioux Falls, SD

0.9309

0.9521

Lincoln, SD

Minnehaha, SD

7800 South Bend, IN

0.9821

0.9877

St. Joseph, IN

7840 Spokane, WA

1.0901

1.0609

Spokane, WA

7880 Springfield, IL

0.8944

0.9264

Menard, IL

Sangamon, IL

7920 Springfield, MO

0.8457

0.8916

Christian, MO

Greene, MO

Webster, MO

8003 Springfield, MA

1.0543

1.0369

Hampden, MA

Hampshire, MA

8050 State College, PA

0.8740

0.9119

Centre, PA

8080

2

Steubenville-Weirton, OH-WV (OH Hospitals)

0.8820

0.9176

Jefferson, OH

Brooke, WV

Hancock, WV

8080 Steubenville-Weirton, OH-WV (WV Hospitals)

0.8398

0.8873

Jefferson, OH

Brooke, WV

Hancock, WV

8120 Stockton-Lodi, CA

1.0404

1.0275

San Joaquin, CA

8140

2

Sumter, SC

0.8498

0.8945

Sumter, SC

8160 Syracuse, NY

0.9412

0.9594

Cayuga, NY

Madison, NY

Onondaga, NY

Oswego, NY

8200 Tacoma, WA

1.1116

1.0751

Pierce, WA

8240

2

Tallahassee, FL

0.8855

0.9201

Gadsden, FL

Leon, FL

8280

1

Tampa-St. Petersburg-Clearwater, FL

0.9103

0.9377

Hernando, FL

Hillsborough, FL

Pasco, FL

Pinellas, FL

8320

2

Terre Haute, IN

0.8824

0.9179

Clay, IN

Vermillion, IN

Vigo, IN

8360 Texarkana, AR—Texarkana, TX

0.8150

0.8693

Miller, AR

Bowie, TX

8400 Toledo, OH

0.9397

0.9583

Fulton, OH

Lucas, OH

Wood, OH

8440 Topeka, KS

0.9108

0.9380

Shawnee, KS

8480 Trenton, NJ

1.0517

1.0351

Mercer, NJ

8520

2

Tucson, AZ

0.9270

0.9494

Pima, AZ

8560 Tulsa, OK

0.9185

0.9434

Creek, OK

Osage, OK

Rogers, OK

Tulsa, OK

Wagoner, OK

8600 Tuscaloosa, AL

0.8212

0.8738

Tuscaloosa, AL

8640 Tyler, TX

0.9404

0.9588

Smith, TX

8680

2

Utica-Rome, NY

0.8526

0.8965

Herkimer, NY

Oneida, NY

8720 Vallejo-Fairfield-Napa, CA

1.3425

1.2235

Napa, CA

Solano, CA

8735 Ventura, CA

1.1064

1.0717

Ventura, CA

8750 Victoria, TX

0.8184

0.8718

Victoria, TX

8760 Vineland-Millville-Bridgeton, NJ

1.0405

1.0276

Cumberland, NJ

8780

2

Visalia-Tulare-Porterville, CA

0.9967

0.9977

Tulare, CA

8800 Waco, TX

0.8394

0.8870

McLennan, TX

8840

1

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

8920

2

Waterloo-Cedar Falls, IA

0.8416

0.8886

Black Hawk, IA

8940 Wausau, WI

0.9783

0.9851

Marathon, WI

8960

1

West Palm Beach-Boca Raton, FL

0.9798

0.9861

Palm Beach, FL

9000

2

Wheeling, WV-OH (WV Hospitals)

0.8018

0.8596

Belmont, OH

Marshall, WV

Ohio, WV

9000

2

Wheeling, WV-OH (OH Hospitals)

0.8820

0.9176

Belmont, OH

Marshall, WV

Ohio, WV

9040 Wichita, KS

0.9238

0.9472

Butler, KS

Harvey, KS

Sedgwick, KS

9080 Wichita Falls, TX

0.8341

0.8832

Archer, TX

Wichita, TX

9140

2

Williamsport, PA

0.8378

0.8859

Lycoming, PA

9160 Wilmington-Newark, DE-MD

1.0882

1.0596

New Castle, DE

Cecil, MD

9200 Wilmington, NC

0.9563

0.9699

New Hanover, NC

Brunswick, NC

9260

2

Yakima, WA

1.0388

1.0264

Yakima, WA

9270

2

Yolo, CA

0.9967

0.9977

Yolo, CA

9280 York, PA

0.9119

0.9388

York, PA

9320 Youngstown-Warren, OH

0.9214

0.9455

Columbiana, OH

Mahoning, OH

Trumbull, OH

9340 Yuba City, CA

1.0196

1.0134

Sutter, CA

Yuba, CA

9360

2

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:

Table 4B.—Wage Index and Capital Geographic Adjustment Factor (GAF) For Rural Areas

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 Jersey

1

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 Island

1

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:

Table 4C.—Wage Index and Capital Geographic Adjustment Factor (GAF) for Hospitals That Are Reclassified

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:

Table 4F.—Puerto Rico Wage Index and Capital Geographic Adjustment Factor (GAF)

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:

Table 4G.—Pre-Reclassified Wage Index for Urban Areas

Urban area

(Constituent counties)

Wage index

0040 Abilene, TX

0.7780

Taylor, TX

0060 Aguadilla, PR

0.4306

Aguada, PR

Aguadilla, PR

Moca, PR

0080 Akron, OH

0.9246

Portage, OH

Summit, OH

0120 Albany, GA

1.0863

Dougherty, GA

Lee, GA

0160 Albany-Schenectady-Troy, NY

0.8526

Albany, NY

Montgomery, NY

Rensselaer, NY

Saratoga, NY

Schenectady, NY

Schoharie, NY

0200 Albuquerque, NM

0.9300

Bernalillo, NM

Sandoval, NM

Valencia, NM

0220 Alexandria, LA

0.8019

Rapides, LA

0240 Allentown-Bethlehem-Easton, PA

0.9721

Carbon, PA

Lehigh, PA

Northampton, PA

0280 Altoona, PA

0.8806

Blair, PA

0320 Amarillo, TX

0.8986

Potter, TX

Randall, TX

0380 Anchorage, AK

1.2216

Anchorage, AK

0440 Ann Arbor, MI

1.1074

Lenawee, MI

Livingston, MI

Washtenaw, MI

0450 Anniston, AL

0.8090

Calhoun, AL

0460 Appleton-Oshkosh-Neenah, WI

0.9304

Calumet, WI

Outagamie, WI

Winnebago, WI

0470 Arecibo, PR

0.4155

Arecibo, PR

Camuy, PR

Hatillo, PR

0480 Asheville, NC

0.9720

Buncombe, NC

Madison, NC

0500 Athens, GA

0.9818

Clarke, GA

Madison, GA

Oconee, GA

0520 Atlanta, 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

0560 Atlantic-Cape May, NJ

1.0795

Atlantic, NJ

Cape May, NJ

0580 Auburn-Opelika, AL

0.8494

Lee, AL

0600 Augusta-Aiken, GA-SC

0.9625

Columbia, GA

McDuffie, GA

Richmond, GA

Aiken, SC

Edgefield, SC

0640 Austin-San Marcos, TX

0.9609

Bastrop, TX

Caldwell, TX

Hays, TX

Travis, TX

Williamson, TX

0680 Bakersfield, CA

0.9967

Kern, CA

0720 Baltimore, MD

0.9919

Anne Arundel, MD

Baltimore, MD

Baltimore City, MD

Carroll, MD

Harford, MD

Howard, MD

Queen Anne's, MD

0733 Bangor, ME

0.9904

Penobscot, ME

0743 Barnstable-Yarmouth, MA

1.2956

Barnstable, MA

0760 Baton Rouge, LA

0.8406

Ascension, LA

East Baton Rouge, LA

Livingston, LA

West Baton Rouge, LA

0840 Beaumont-Port Arthur, TX

0.8424

Hardin, TX

Jefferson, TX

Orange, TX

0860 Bellingham, WA

1.1757

Whatcom, WA

0870 Benton Harbor, MI

0.8935

Berrien, MI

0875 Bergen-Passaic, NJ

1.1692

Bergen, NJ

Passaic, NJ

0880 Billings, MT

0.8961

Yellowstone, MT

0920 Biloxi-Gulfport-Pascagoula, MS

0.9029

Hancock, MS

Harrison, MS

Jackson, MS

0960 Binghamton, NY

0.8526

Broome, NY

Tioga, NY

1000 Birmingham, AL

0.9212

Blount, AL

Jefferson, AL

St. Clair, AL

Shelby, AL

1010 Bismarck, ND

0.7965

Burleigh, ND

Morton, ND

1020 Bloomington, IN

0.8824

Monroe, IN

1040 Bloomington-Normal, IL

0.8832

McLean, IL

1080 Boise City, ID

0.9209

Ada, ID

Canyon, ID

1123 Boston-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

1125 Boulder-Longmont, CO

1.0049

Boulder, CO

1145 Brazoria, TX

0.8137

Brazoria, TX

1150 Bremerton, WA

1.0580

Kitsap, WA

1240 Brownsville-Harlingen-San Benito, TX

1.0303

Cameron, TX

1260 Bryan-College Station, TX

0.9019

Brazos, TX

1280 Buffalo-Niagara Falls, NY

0.9604

Erie, NY

Niagara, NY

1303 Burlington, VT

0.9704

Chittenden, VT

Franklin, VT

Grand Isle, VT

1310 Caguas, PR

0.4158

Caguas, PR

Cayey, PR

Cidra, PR

Gurabo, PR

San Lorenzo, PR

1320 Canton-Massillon, OH

0.9071

Carroll, OH

Stark, OH

1350 Casper, WY

0.9110

Natrona, WY

1360 Cedar Rapids, IA

0.8874

Linn, IA

1400 Champaign-Urbana, IL

0.9907

Champaign, IL

1440 Charleston-North Charleston, SC

0.9332

Berkeley, SC

Charleston, SC

Dorchester, SC

1480 Charleston, WV

0.8880

Kanawha, WV

Putnam, WV

1520 Charlotte-Gastonia-Rock Hill, NC-SC

0.9730

Cabarrus, NC

Gaston, NC

Lincoln, NC

Mecklenburg, NC

Rowan, NC

Stanly, NC

Union, NC

York, SC

1540 Charlottesville, VA

1.0025

Albemarle, VA

Charlottesville City, VA

Fluvanna, VA

Greene, VA

1560 Chattanooga, TN-GA

0.9086

Catoosa, GA

Dade, GA

Walker, GA

Hamilton, TN

Marion, TN

1580 Cheyenne, WY

0.9110

Laramie, WY

1600 Chicago, IL

1.0892

Cook, IL

DeKalb, IL

DuPage, IL

Grundy, IL

Kane, IL

Kendall, IL

Lake, IL

McHenry, IL

Will, IL

1620 Chico-Paradise, CA

1.0193

Butte, CA

1640 Cincinnati, 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

1660 Clarksville-Hopkinsville, TN-KY

0.8244

Christian, KY

Montgomery, TN

1680 Cleveland-Lorain-Elyria, OH

0.9671

Ashtabula, OH

Cuyahoga, OH

Geauga, OH

Lake, OH

Lorain, OH

Medina, OH

1720 Colorado Springs, CO

0.9833

El Paso, CO

1740 Columbia, MO

0.8695

Boone, MO

1760 Columbia, SC

0.8902

Lexington, SC

Richland, SC

1800 Columbus, GA-AL

0.8694

Russell, AL

Chattahoochee, GA

Harris, GA

Muscogee, GA

1840 Columbus, OH

0.9648

Delaware, OH

Fairfield, OH

Franklin, OH

Licking, OH

Madison, OH

Pickaway, OH

1880 Corpus Christi, TX

0.8521

Nueces, TX

San Patricio, TX

1890 Corvallis, OR

1.1516

Benton, OR

1900 Cumberland, MD-WV (WV Hospital)

0.8200

Allegany, MD

Mineral, WV

1920 Dallas, TX

0.9974

Collin, TX

Dallas, TX

Denton, TX

Ellis, TX

Henderson, TX

Hunt, TX

Kaufman, TX

Rockwall, TX

1950 Danville, VA

0.9035

Danville City, VA

Pittsylvania, VA

1960 Davenport-Moline-Rock Island, IA-IL

0.8985

Scott, IA

Henry, IL

Rock Island, IL

2000 Dayton-Springfield, OH

0.9518

Clark, OH

Greene, OH

Miami, OH

Montgomery, OH

2020 Daytona Beach, FL

0.9060

Flagler, FL

Volusia, FL

2030 Decatur, AL

0.8828

Lawrence, AL

Morgan, AL

2040 Decatur, IL

0.8254

Macon, IL

2080 Denver, CO

1.0837

Adams, CO

Arapahoe, CO

Broomfield, CO

Denver, CO

Douglas, CO

Jefferson, CO

2120 Des Moines, IA

0.9106

Dallas, IA

Polk, IA

Warren, IA

2160 Detroit, MI

1.0101

Lapeer, MI

Macomb, MI

Monroe, MI

Oakland, MI

St. Clair, MI

Wayne, MI

2180 Dothan, AL

0.7741

Dale, AL

Houston, AL

2190 Dover, DE

0.9805

Kent, DE

2200 Dubuque, IA

0.8886

Dubuque, IA

2240 Duluth-Superior, MN-WI

1.0171

St. Louis, MN

Douglas, WI

2281 Dutchess County, NY

1.0934

Dutchess, NY

2290 Eau Claire, WI

0.9304

Chippewa, WI

Eau Claire, WI

2320 El Paso, TX

0.9196

El Paso, TX

2330 Elkhart-Goshen, IN

0.9783

Elkhart, IN

2335 Elmira, NY

0.8526

Chemung, NY

2340 Enid, OK

0.8559

Garfield, OK

2360 Erie, PA

0.8601

Erie, PA

2400 Eugene-Springfield, OR

1.1456

Lane, OR

2440 Evansville-Henderson, IN-KY (IN Hospitals)

0.8824

Posey, IN

Vanderburgh, IN

Warrick, IN

Henderson, KY

2520 Fargo-Moorhead, ND-MN

0.9797

Clay, MN

Cass, ND

2560 Fayetteville, NC

0.8986

Cumberland, NC

2580 Fayetteville-Springdale-Rogers, AR

0.8396

Benton, AR

Washington, AR

2620 Flagstaff, AZ-UT

1.1333

Coconino, AZ

Kane, UT

2640 Flint, MI

1.0858

Genesee, MI

2650 Florence, AL

0.7747

Colbert, AL

Lauderdale, AL

2655 Florence, SC

0.8709

Florence, SC

2670 Fort Collins-Loveland, CO

1.0108

Larimer, CO

2680 Ft. Lauderdale, FL

1.0163

Broward, FL

2700 Fort Myers-Cape Coral, FL

0.9816

Lee, FL

2710 Fort Pierce-Port St. Lucie, FL

1.0008

Martin, FL

St. Lucie, FL

2720 Fort Smith, AR-OK

0.8424

Crawford, AR

Sebastian, AR

Sequoyah, OK

2750 Fort Walton Beach, FL

0.8966

Okaloosa, FL

2760 Fort Wayne, IN

0.9585

Adams, IN

Allen, IN

De Kalb, IN

Huntington, IN

Wells, IN

Whitley, IN

2800 Forth Worth-Arlington, TX

0.9359

Hood, TX

Johnson, TX

Parker, TX

Tarrant, TX

2840 Fresno, CA

1.0142

Fresno, CA

Madera, CA

2880 Gadsden, AL

0.8206

Etowah, AL

2900 Gainesville, FL

0.9693

Alachua, FL

2920 Galveston-Texas City, TX

0.9279

Galveston, TX

2960 Gary, IN

0.9410

Lake, IN

Porter, IN

2975 Glens Falls, NY

0.8526

Warren, NY

Washington, NY

2980 Goldsboro, NC

0.8622

Wayne, NC

2985 Grand Forks, ND-MN

0.8636

Polk, MN

Grand Forks, ND

2995 Grand Junction, CO

0.9633

Mesa, CO

3000 Grand Rapids-Muskegon-Holland, MI

0.9469

Allegan, MI

Kent, MI

Muskegon, MI

Ottawa, MI

3040 Great Falls, MT

0.8809

Cascade, MT

3060 Greeley, CO

0.9372

Weld, CO

3080 Green Bay, WI

0.9461

Brown, WI

3120 Greensboro-Winston-Salem-High Point, NC

0.9166

Alamance, NC

Davidson, NC

Davie, NC

Forsyth, NC

Guilford, NC

Randolph, NC

Stokes, NC

Yadkin, NC

3150 Greenville, NC

0.9098

Pitt, NC

3160 Greenville-Spartanburg-Anderson, SC

0.9335

Anderson, SC

Cherokee, SC

Greenville, SC

Pickens, SC

Spartanburg, SC

3180 Hagerstown, MD

0.9172

Washington, MD

3200 Hamilton-Middletown, OH

0.9214

Butler, OH

3240 Harrisburg-Lebanon-Carlisle, PA

0.9164

Cumberland, PA

Dauphin, PA

Lebanon, PA

Perry, PA

3283 Hartford, CT

1.2183

Hartford, CT

Litchfield, CT

Middlesex, CT

Tolland, CT

3285 Hattiesburg, MS

0.7778

Forrest, MS

Lamar, MS

3290 Hickory-Morganton-Lenoir, NC

0.9242

Alexander, NC

Burke, NC

Caldwell, NC

Catawba, NC

3320 Honolulu, HI

1.1098

Honolulu, HI

3350 Houma, LA

0.7771

Lafourche, LA

Terrebonne, LA

3360 Houston, TX

0.9834

Chambers, TX

Fort Bend, TX

Harris, TX

Liberty, TX

Montgomery, TX

Waller, TX

3400 Huntington-Ashland, WV-KY-OH

0.9595

Boyd, KY

Carter, KY

Greenup, KY

Lawrence, OH

Cabell, WV

Wayne, WV

3440 Huntsville, AL

0.9245

Limestone, AL

Madison, AL

3480 Indianapolis, IN

0.9916

Boone, IN

Hamilton, IN

Hancock, IN

Hendricks, IN

Johnson, IN

Madison, IN

Marion, IN

Morgan, IN

Shelby, IN

3500 Iowa City, IA

0.9548

Johnson, IA

3520 Jackson, MI

0.8986

Jackson, MI

3560 Jackson, MS

0.8357

Hinds, MS

Madison, MS

Rankin, MS

3580 Jackson, TN

0.8984

Madison, TN

Chester, TN

3600 Jacksonville, FL

0.9529

Clay, FL

Duval, FL

Nassau, FL

St. Johns, FL

3605 Jacksonville, NC

0.8544

Onslow, NC

3610 Jamestown, NY

0.8526

Chautauqua, NY

3620 Janesville-Beloit, WI

0.9304

Rock, WI

3640 Jersey City, NJ

1.1115

Hudson, NJ

3660 Johnson City-Kingsport-Bristol, TN-VA

0.8253

Carter, TN

Hawkins, TN

Sullivan, TN

Unicoi, TN

Washington, TN

Bristol City, VA

Scott, VA

Washington, VA

3680 Johnstown, PA

0.8378

Cambria, PA

Somerset, PA

3700 Jonesboro, AR

0.7794

Craighead, AR

3710 Joplin, MO

0.8681

Jasper, MO

Newton, MO

3720 Kalamazoo-Battlecreek, MI

1.0500

Calhoun, MI

Kalamazoo, MI

Van Buren, MI

3740 Kankakee, IL

1.0419

Kankakee, IL

3760 Kansas 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

3800 Kenosha, WI

0.9761

Kenosha, WI

3810 Killeen-Temple, TX

0.9159

Bell, TX

Coryell, TX

3840 Knoxville, TN

0.8820

Anderson, TN

Blount, TN

Knox, TN

Loudon, TN

Sevier, TN

Union, TN

3850 Kokomo, IN

0.9045

Howard, IN

Tipton, IN

3870 La Crosse, WI-MN

0.9304

Houston, MN

La Crosse, WI

3880 Lafayette, LA

0.8207

Acadia, LA

Lafayette, LA

St. Landry, LA

St. Martin, LA

3920 Lafayette, IN

0.8824

Clinton, IN

Tippecanoe, IN

3960 Lake Charles, LA

0.7841

Calcasieu, LA

3980 Lakeland-Winter Haven, FL

0.8855

Polk, FL

4000 Lancaster, PA

0.9282

Lancaster, PA

4040 Lansing-East Lansing, MI

0.9714

Clinton, MI

Eaton, MI

Ingham, MI

4080 Laredo, TX

0.8091

Webb, TX

4100 Las Cruces, NM

0.8688

Dona Ana, NM

4120 Las Vegas, NV-AZ

1.1528

Mohave, AZ

Clark, NV

Nye, NV

4150 Lawrence, KS

0.8074

Douglas, KS

4200 Lawton, OK

0.8267

Comanche, OK

4243 Lewiston-Auburn, ME

0.9383

Androscoggin, ME

4280 Lexington, KY

0.8685

Bourbon, KY

Clark, KY

Fayette, KY

Jessamine, KY

Madison, KY

Scott, KY

Woodford, KY

4320 Lima, OH

0.9522

Allen, OH

Auglaize, OH

4360 Lincoln, NE

1.0033

Lancaster, NE

4400 Little Rock-North Little Rock, AR

0.8923

Faulkner, AR

Lonoke, AR

Pulaski, AR

Saline, AR

4420 Longview-Marshall, TX

0.9113

Gregg, TX

Harrison, TX

Upshur, TX

4480 Los Angeles-Long Beach, CA

1.1795

Los Angeles, CA

4520 Louisville, KY-IN

0.9242

Clark, IN

Floyd, IN

Harrison, IN

Scott, IN

Bullitt, KY

Jefferson, KY

Oldham, KY

4600 Lubbock, TX

0.8272

Lubbock, TX

4640 Lynchburg, VA

0.9134

Amherst, VA

Bedford, VA

Bedford City, VA

Campbell, VA

Lynchburg City, VA

4680 Macon, GA

0.8953

Bibb, GA

Houston, GA

Jones, GA

Peach, GA

Twiggs, GA

4720 Madison, WI

1.0264

Dane, WI

4800 Mansfield, OH

0.9180

Crawford, OH

Richland, OH

4840 Mayaguez, PR

0.4795

Anasco, PR

Cabo Rojo, PR

Hormigueros, PR

Mayaguez, PR

Sabana Grande, PR

San German, PR

4880 McAllen-Edinburg-Mission, TX

0.8381

Hidalgo, TX

4890 Medford-Ashland, OR

1.0772

Jackson, OR

4900 Melbourne-Titusville-Palm Bay, FL

0.9776

Brevard, Fl

4920 Memphis, TN-AR-MS

0.9009

Crittenden, AR

DeSoto, MS

Fayette, TN

Shelby, TN

Tipton, TN

4940 Merced, CA

0.9967

Merced, CA

5000 Miami, FL

0.9894

Dade, FL

5015 Middlesex-Somerset-Hunterdon, NJ

1.1366

Hunterdon, NJ

Middlesex, NJ

Somerset, NJ

5080 Milwaukee-Waukesha, WI

0.9988

Milwaukee, WI

Ozaukee, WI

Washington, WI

Waukesha, WI

5120 Minneapolis-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

5140 Missoula, MT

0.8800

Missoula, MT

5160 Mobile, AL

0.7994

Baldwin, AL

Mobile, AL

5170 Modesto, CA

1.1275

Stanislaus, CA

5190 Monmouth-Ocean, NJ

1.0956

Monmouth, NJ

Ocean, NJ

5200 Monroe, LA

0.7922

Ouachita, LA

5240 Montgomery, AL

0.7907

Autauga, AL

Elmore, AL

Montgomery, AL

5280 Muncie, IN

0.8824

Delaware, IN

5330 Myrtle Beach, SC

0.9112

Horry, SC

5345 Naples, FL

0.9790

Collier, FL

5360 Nashville, TN

0.9855

Cheatham, TN

Davidson, TN

Dickson, TN

Robertson, TN

Rutherford TN

Sumner, TN

Williamson, TN

Wilson, TN

5380 Nassau-Suffolk, NY

1.3140

Nassau, NY

Suffolk, NY

5483 New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT

1.2385

Fairfield, CT

New Haven, CT

5523 New London-Norwich, CT

1.2183

New London, CT

5560 New 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

5600 New York, NY

1.4018

Bronx, NY

Kings, NY

New York, NY

Putnam, NY

Queens, NY

Richmond, NY

Rockland, NY

Westchester, NY

5640 Newark, NJ

1.1518

Essex, NJ

Morris, NJ

Sussex, NJ

Union, NJ

Warren, NJ

5660 Newburgh, NY-PA

1.1509

Orange, NY

Pike, PA

5720 Norfolk-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

5775 Oakland, CA

1.4921

Alameda, CA

Contra Costa, CA

5790 Ocala, FL

0.9728

Marion, FL

5800 Odessa-Midland, TX

0.9327

Ector, TX

Midland, TX

5880 Oklahoma City, OK

0.8984

Canadian, OK

Cleveland, OK

Logan, OK

McClain, OK

Oklahoma, OK

Pottawatomie, OK

5910 Olympia, WA

1.0963

Thurston, WA

5920 Omaha, NE-IA

0.9745

Pottawattamie, IA

Cass, NE

Douglas, NE

Sarpy, NE

Washington, NE

5945 Orange County, CA

1.1372

Orange, CA

5960 Orlando, FL

0.9654

Lake, FL

Orange, FL

Osceola, FL

Seminole, FL

5990 Owensboro, KY

0.8374

Daviess, KY

6015 Panama City, FL

0.8855

Bay, FL

6020 Parkersburg-Marietta, WV-OH

0.8039

Washington, OH

Wood, WV

6080 Pensacola, FL

0.8855

Escambia, FL

Santa Rosa, FL

6120 Peoria-Pekin, IL

0.8734

Peoria, IL

Tazewell, IL

Woodford, IL

6160 Philadelphia, PA-NJ

1.0883

Burlington, NJ

Camden, NJ

Gloucester, NJ

Salem, NJ

Bucks, PA

Chester, PA

Delaware, PA

Montgomery, PA

Philadelphia, PA

6200 Phoenix-Mesa, AZ

1.0129

Maricopa, AZ

Pinal, AZ

6240 Pine Bluff, AR

0.7865

Jefferson, AR

6280 Pittsburgh, PA

0.8901

Allegheny, PA

Beaver, PA

Butler, PA

Fayette, PA

Washington, PA

Westmoreland, PA

6323 Pittsfield, MA

1.0432

Berkshire, MA

6340 Pocatello, ID

0.9042

Bannock, ID

6360 Ponce, PR

0.4708

Guayanilla, PR

Juana Diaz, PR

Penuelas, PR

Ponce, PR

Villalba, PR

Yauco, PR

6403 Portland, ME

0.9949

Cumberland, ME

Sagadahoc, ME

York, ME

6440 Portland-Vancouver, OR-WA

1.1213

Clackamas, OR

Columbia, OR

Multnomah, OR

Washington, OR

Yamhill, OR

Clark, WA

6483 Providence-Warwick-Pawtucket, RI

1.0977

Bristol, RI

Kent, RI

Newport, RI

Providence, RI

Washington, RI

6520 Provo-Orem, UT

0.9976

Utah, UT

6560 Pueblo, CO

0.9328

Pueblo, CO

6580 Punta Gorda, FL

0.9510

Charlotte, FL

6600 Racine, WI

0.9304

Racine, WI

6640 Raleigh-Durham-Chapel Hill, NC

0.9959

Chatham, NC

Durham, NC

Franklin, NC

Johnston, NC

Orange, NC

Wake, NC

6660 Rapid City, SD

0.8806

Pennington, SD

6680 Reading, PA

0.9133

Berks, PA

6690 Redding, CA

1.1352

Shasta, CA

6720 Reno, NV

1.0682

Washoe, NV

6740 Richland-Kennewick-Pasco, WA

1.0609

Benton, WA

Franklin, WA

6760 Richmond-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

6780 Riverside-San Bernardino, CA

1.1348

Riverside, CA

San Bernardino, CA

6800 Roanoke, VA

0.8700

Botetourt, VA

Roanoke, VA

Roanoke City, VA

Salem City, VA

6820 Rochester, MN

1.1739

Olmsted, MN

6840 Rochester, NY

0.9430

Genesee, NY

Livingston, NY

Monroe, NY

Ontario, NY

Orleans, NY

Wayne, NY

6880 Rockford, IL

0.9666

Boone, IL

Ogle, IL

Winnebago, IL

6895 Rocky Mount, NC

0.9076

Edgecombe, NC

Nash, NC

6920 Sacramento, CA

1.1845

El Dorado, CA

Placer, CA

Sacramento, CA

6960 Saginaw-Bay City-Midland, MI

1.0032

Bay, MI

Midland, MI

Saginaw, MI

6980 St. Cloud, MN

0.9506

Benton, MN

Stearns, MN

7000 St. Joseph, MO

0.8056

Andrew, MO

Buchanan, MO

7040 St. 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

7080 Salem, OR

1.0482

Marion, OR

Polk, OR

7120 Salinas, CA

1.4339

Monterey, CA

7160 Salt Lake City-Ogden, UT

0.9913

Davis, UT

Salt Lake, UT

Weber, UT

7200 San Angelo, TX

0.8535

Tom Green, TX

7240 San Antonio, TX

0.8870

Bexar, TX

Comal, TX

Guadalupe, TX

Wilson, TX

7320 San Diego, CA

1.1147

San Diego, CA

7360 San Francisco, CA

1.4514

Marin, CA

San Francisco, CA

San Mateo, CA

7400 San Jose, CA

1.4626

Santa Clara, CA

7440 San 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

7460 San Luis Obispo-Atascadero-Paso Robles, CA

1.1429

San Luis Obispo, CA

7480 Santa Barbara-Santa Maria-Lompoc, CA

1.0441

Santa Barbara, CA

7485 Santa Cruz-Watsonville, CA

1.2942

Santa Cruz, CA

7490 Santa Fe, NM

1.0653

Los Alamos, NM

Santa Fe, NM

7500  Santa Rosa, CA

1.2877

Sonoma, CA

7510 Sarasota-Bradenton, FL

0.9964

Manatee, FL

Sarasota, FL

7520 Savannah, GA

0.9472

Bryan, GA

Chatham, GA

Effingham, GA

7560 Scranton-Wilkes-Barre-Hazleton, PA

0.8412

Columbia, PA

Lackawanna, PA

Luzerne, PA

Wyoming, PA

7600 Seattle-Bellevue-Everett, WA

1.1562

Island, WA

King, WA

Snohomish, WA

7610 Sharon, PA

0.8378

Mercer, PA

7620 Sheboygan, WI

0.9304

Sheboygan, WI

7640 Sherman-Denison, TX

0.9700

Grayson, TX

7680 Shreveport-Bossier City, LA

0.9083

Bossier, LA

Caddo, LA

Webster, LA

7720 Sioux City, IA-NE

0.8993

Woodbury, IA

Dakota, NE

7760 Sioux Falls, SD

0.9309

Lincoln, SD

Minnehaha, SD

7800 South Bend, IN

0.9821

St. Joseph, IN

7840 Spokane, WA

1.0901

Spokane, WA

7880 Springfield, IL

0.8944

Menard, IL

Sangamon, IL

7920 Springfield, MO

0.8457

Christian, MO

Greene, MO

Webster, MO

8003 Springfield, MA

1.0543

Hampden, MA

Hampshire, MA

8050 State College, PA

0.8740

Centre, PA

8080 Steubenville-Weirton, OH-WV (WV Hospitals)

0.8398

Jefferson, OH

Brooke, WV

Hancock, WV

8120 Stockton-Lodi, CA

1.0404

San Joaquin, CA

8140 Sumter, SC

0.8498

Sumter, SC

8160 Syracuse, NY

0.9412

Cayuga, NY

Madison, NY

Onondaga, NY

Oswego, NY

8200 Tacoma, WA

1.1116

Pierce, WA

8240 Tallahassee, FL

0.8855

Gadsden, FL

Leon, FL

8280 Tampa-St. Petersburg-Clearwater, FL

0.9103

Hernando, FL

Hillsborough, FL

Pasco, FL

Pinellas, FL

8320 Terre Haute, IN

0.8824

Clay, IN

Vermillion, IN

Vigo, IN

8360 Texarkana, AR-Texarkana, TX

0.8150

Miller, AR

Bowie, TX

8400 Toledo, OH

0.9381

Fulton, OH

Lucas, OH

Wood, OH

8440 Topeka, KS

0.9108

Shawnee, KS

8480  Trenton, NJ

1.0517

Mercer, NJ

8520 Tucson, AZ

0.9270

Pima, AZ

8560 Tulsa, OK

0.9185

Creek, OK

Osage, OK

Rogers, OK

Tulsa, OK

Wagoner, OK

8600 Tuscaloosa, AL

0.8212

Tuscaloosa, AL

8640 Tyler, TX

0.9404

Smith, TX

8680 Utica-Rome, NY

0.8526

Herkimer, NY

Oneida, NY

8720 Vallejo-Fairfield-Napa, CA

1.3377

Napa, CA

Solano, CA

8735 Ventura, CA

1.1064

Ventura, CA

8750 Victoria, TX

0.8184

Victoria, TX

8760 Vineland-Millville-Bridgeton, NJ

1.0405

Cumberland, NJ

8780 Visalia-Tulare-Porterville, CA

0.9967

Tulare, CA

8800 Waco, TX

0.8394

McLennan, TX

8840 Washington, 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

8920 Waterloo-Cedar Falls, IA

0.8416

Black Hawk, IA

8940 Wausau, WI

0.9692

Marathon, WI

8960 West Palm Beach-Boca Raton, FL

0.9798

Palm Beach, FL

9000 Wheeling, WV-OH

0.8018

Belmont, OH

Marshall, WV

Ohio, WV

9040 Wichita, KS

0.9238

Butler, KS

Harvey, KS

Sedgwick, KS

9080 Wichita Falls, TX

0.8341

Archer, TX

Wichita, TX

9140 Williamsport, PA

0.8378

Lycoming, PA

9160 Wilmington-Newark, DE-MD

1.0882

New Castle, DE

Cecil, MD

9200 Wilmington, NC

0.9563

New Hanover, NC

Brunswick, NC

9260 Yakima, WA

1.0388

Yakima, WA

9270 Yolo, CA

0.9967

Yolo, CA

9280 York, PA

0.9119

York, PA

9320 Youngstown-Warren, OH

0.9214

Columbiana, OH

Mahoning, OH

Trumbull, OH

9340 Yuba City, CA

1.0196

Sutter, CA

Yuba, CA

9360 Yuma, 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 Age>17 w cc” is corrected to read “Traumatic Stupor & Coma, Coma <1HR Age>17 w cc”;

b. Line 14 line 59 (DRG 29) “Traumatic Stupor & Coma, Coma >1HR Age<17 w/o cc” is corrected to read “Traumatic Stupor & Coma, Coma <1HR Age>17 w/o cc”;

c. Line 53 (DRG 68), “Otitis Media & URI Age & gt;17 w cc” is corrected to read “Otitis Media & URI Age>17 w cc”; and

d. Line 54 (DRG 69), “Otitis Media & URI Age & gt;17 w/o cc” is corrected to read “Otitis Media & URI Age>17 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 “079.821

1

”.

42. On page 45595, in Table 6A—New Diagnosis Codes, first column,

a. Line 12, the figure “480.31” is corrected to read “480.31

1

”; 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 “V01.82

1

”;

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:

Table 10.—Mean and .75 Standard Deviation by Diagnosis-Related Group (DRG)—July 2003

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:

Table I.—Impact Analysis of Final Changes For FY 2004 Operating Prospective Payment System

(Percent changes in payments per case)

Published new wage data)

4

Corrected new wage data

4

Published all FY 2004 changes

10

Corrected all FY 2004 changes

10

(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