# Medicare Program; Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2004 Rates; Correction > Briefs, arguments, decisions, and more. URL: https://www.frixlaw.com/law-library/documents/fr%3A03-25192 ## Record - **Collection:** Federal Register - **Document type:** Rule - **Published:** October 6, 2003 - **Citation:** 68 FR 57732 ## Text 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 --- Source: Frix Law Library, https://www.frixlaw.com/law-library/documents/fr%3A03-25192. Public record. Not legal advice.