33928 Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices

in this Federal Register notice. Changes

in the agenda will be announced at the

beginning of the open portion of a

meeting.

Any interested person who wishes to

be assured of the right to make an oral

presentation at the open public hearing

portion of a meeting shall inform the

contact person listed above in writing,

prior to the meeting.

The agenda, the questions to be

addressed by the committee, and a

current list of committee members will

be available at the meeting location on

the day of the meeting.

Transcripts of the open portion of the

meeting may be requested in writing

from the Freedom of Information Office

(HFI–35), Food and Drug

Administration, rm. 12A–16, 5600

Fishers Lane, Rockville, MD 20857,

approximately 15 working days after the

meeting, at a cost of 10 cents per page.

The transcript may be viewed at the

Dockets Management Branch (HFA–

305), Food and Drug Administration,

rm. 1–23, 12420 Parklawn Dr.,

Rockville, MD 20857, approximately 15

working days after the meeting, between

the hours of 9 a.m. and 4 p.m., Monday

through Friday. Summary minutes of

the open portion of the meeting may be

requested in writing from the Freedom

of Information Office (address above)

beginning approximately 90 days after

the meeting.

This notice is issued under section

10(a)(1) and (2) of the Federal Advisory

Committee Act (5 U.S.C. app. 2), and

FDA’s regulations (21 CFR part 14) on

advisory committees.

Dated: June 25, 1996.

Michael A. Friedman,

Deputy Commissioner for Operations.

[FR Doc. 96–16770 Filed 6–28–96; 8:45 am]

BILLING CODE 4160–01–F

Health Care Financing Administration

[BPD–847–CN]

RIN 0938–AH34

Medicare Program; Changes to the

Hospital Inpatient Prospective

Payment Systems and Fiscal Year 1997

Rates; Correction

AGENCY: Health Care Financing

Administration (HCFA), HHS.

ACTION: Correction notice.

SUMMARY: On May 31, 1996, we

published a proposed rule (61 FR

27444) that would revise the Medicare

hospital inpatient prospective payment

systems for operating costs and capitalrelated costs to implement necessary

changes arising from our continuing

experience with the systems. In the

addendum to the proposed rule, we

announced the prospective payment

rates for Medicare hospital inpatient

services for operating costs and capitalrelated costs that would apply to

discharges occurring on or after October

1, 1996, and set forth the factors for

determining the rate-of-increase limits

for hospital and hospital units excluded

from the prospective payment system.

This notice corrects errors made in that

document.

FOR FURTHER INFORMATION CONTACT: Tzvi

Hefter, (410) 786–1304.

SUPPLEMENTARY INFORMATION: In the May

31, 1996 proposed rule (61 FR 27444),

we indicated that the addendum would

discuss our proposed update of the

factors for determining the rate-ofincrease limits for cost reporting periods

beginning in Federal fiscal year 1997 for

hospitals and hospital units excluded

from the prospective payment system.

This discussion was inadvertently

omitted from the published document.

In addition, there were errors in our

calculations of the Geographic

Adjustment Factors (GAFs) in tables 4a

and 4b. The tables are reprinted in their

entirety in this document. The GAFs set

forth in table 4c are correct.

The proposed rule also contained

other technical and typographical

errors. Therefore, we are making the

following corrections to the May 31,

1996 proposed rule:

1. On page 27474, in the table entitled

Initial Residency Period, after

‘‘Allopathy’’ and before

‘‘ANESTHESIOLOGY’’ insert the

following row:

ALLERGY AND IMMUNOLOGY ..................3.

2. On page 27504, in the second

column before ‘‘V. Tables’’, the

following information should be

inserted:

IV. Proposed Rate-of-Increase

Percentages for Excluded Hospitals and

Hospital Units

The inpatient operating costs of

hospitals and hospital units excluded

from the prospective payment system

are subject to rate-of-increase limits

established under the authority of

section 1886(b) of the Act, which is

implemented in § 413.40 of the

regulations. Under these limits, an

annual target amount (expressed in

terms of the inpatient operating cost per

discharge) is set for each hospital, based

on the hospital’s own historical cost

experience trended forward by the

applicable rate-of-increase percentages

(update factors). The target amount is

multiplied by the number of Medicare

discharges in a hospital’s cost reporting

period, yielding the ceiling on aggregate

Medicare inpatient operating costs for

the cost reporting period.

Effective with cost reporting periods

beginning on or after October 1, 1991, a

hospital that has Medicare inpatient

operating costs in excess of its ceiling is

paid its ceiling plus 50 percent of its

costs in excess of the ceiling. Total

payment may not exceed 110 percent of

the ceiling. A hospital that has inpatient

operating costs less than its ceiling is

paid its costs plus the lower of—

• Fifty percent of the difference

between the allowable inpatient

operating costs and the ceiling; or

• Five percent of the ceiling.

Each hospital’s target amount is

adjusted annually, at the beginning of

its cost reporting period, by an

applicable rate-of-increase percentage.

Section 1886(b)(3)(B) of the Act

provides that for cost reporting periods

beginning on or after October 1, 1993,

and before October 1, 1994, the

applicable rate-of-increase percentage is

the market basket percentage increase

minus the lesser of 1 percentage point

or the percentage point difference

between 10 percent and the hospital’s

‘‘update adjustment percentage’’ of at

least 10 percent. The rate-of-increase

percentage for hospitals in the latter

case is the market basket percentage

increase. The ‘‘update adjustment

percentage’’ is the percentage by which

a hospital’s allowable inpatient

operating costs exceeds the hospital’s

ceiling for the cost reporting period

beginning in Federal fiscal year (FY)

1990. For cost reporting periods

beginning on or after October 1, 1994,

and before October 1, 1997, the update

adjustment percentage is the update

adjustment percentage from the

previous year plus the previous year’s

applicable reduction. The applicable

reduction and applicable rate-ofincrease percentage are then determined

in the same manner as for FY 1994. The

most recent forecasted market basket

increase for FY 1997 for hospitals and

hospital units excluded from the

prospective payment system is 2.7

percent.

3. On pages 27521 to 27527, Table

4a—Wage Index and Capital Geographic

Adjustment Factor (GAF) for Urban

Areas is corrected by replacing the table

with the following table:
Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices 33929

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS

Urban area (constituent counties or

county equivalents)

Wage

index GAF

0040 Abilene, TX 0.8055 0.8623

Taylor, TX

0060 Aguadilla, PR 0.4430 0.5726

Aguada, PR

Aguadilla, PR

Moca, PR

0080 Akron, OH .... 0.9875 0.9914

Portage, OH

Summit, OH

0120 Albany, GA 0.8353 0.8841

Dougherty, GA

Lee, GA

0160 Albany-Schenectady-Troy, NY 0.8510 0.8954

Albany, NY

Montgomery, NY

Rensselaer, NY

Saratoga, NY

Schenectady, NY

Schoharie, NY

0200 Albuquerque,

NM ....................... 0.9390 0.9578

Bernalillo, NM

Sandoval, NM

Valencia, NM

0220 Alexandria,

LA ........................ 0.8213 0.8739

Rapides, LA

0240 AllentownBethlehem-Easton, PA ................. 1.0014 1.0010

Carbon, PA

Lehigh, PA

Northampton, PA

0280 Altoona, PA 0.9531 0.9676

Blair, PA

0320 Amarillo, TX 0.8557 0.8988

Potter, TX

Randall, TX

0380 Anchorage,

AK ........................ 1.3285 1.2147

Anchorage, AK

0440 Ann Arbor,

MI ......................... 1.1688 1.1127

Lenawee, MI

Livingston, MI

Washtenaw, MI

0450 Anniston, AL 0.7848 0.8471

Calhoun, AL

0460 AppletonOshkosh-Neenah,

WI ........................ 0.8910 0.9240

Calumet, WI

Outagamie, WI

Winnebago, WI

0470 Arecibo, PR 0.4631 0.5903

Arecibo, PR

Camuy, PR

Hatillo, PR

0480 Asheville, NC 0.9365 0.9561

Buncombe, NC

Madison, NC

0500 Athens, GA 0.9259 0.9486

Clarke, GA

Madison, GA

Oconee, GA

0520 *Atlanta, GA 1.0089 1.0061

Barrow, GA

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

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.

Atlantic, NJ

Cape May, NJ 1.1102 1.0742

0600 AugustaAiken, GA–SC.

Columbia, GA

McDuffie, GA

Richmond, GA

Aiken, SC

Edgefield, SC 0.8849 0.9197

0640 Austin-San

Marcos, TX.

Bastrop, TX

Caldwell, TX

Hays, TX

Travis, TX

Williamson, TX 0.9252 0.9482

0680 Bakersfield,

CA.

Kern, CA 1.0202 1.0138

0720 *Baltimore,

MD.

Anne Arundel, MD

Baltimore, MD

Baltimore City,

MD

Carroll, MD

Harford, MD

Howard, MD

Queen Anne’s,

MD 0.9820 0.9876

0733 Bangor, ME.

Penobscot, ME 0.9412 0.9594

0743 BarnstableYarmouth, MA.

Barnstable, MA 1.3682 1.2395

0760 Baton Rouge,

LA.

Ascension, LA

East Baton

Rouge, LA

Livingston, LA

West Baton

Rouge, LA 0.8442 0.8905

0840 BeaumontPort Arthur, TX.

Hardin, TX

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Jefferson, TX

Orange, TX 0.8578 0.9003

0860 Bellingham,

WA.

Whatcom, WA 1.1342 1.0901

0870 Benton Harbor, MI.

Berrien, MI 0.8553 0.8985

0875 *Bergen-Passaic, NJ.

Bergen, NJ

Passaic, NJ 1.1717 1.1146

0880 Billings, MT.

Yellowstone, MT 0.8903 0.9235

0920 Biloxi-Gulfport-Pascagoula,

MS.

Hancock, MS

Harrison, MS

Jackson, MS 0.8573 0.8999

0960 Binghamton,

NY.

Broome, NY

Tioga, NY 0.8842 0.9192

1000 Birmingham,

AL.

Blount, AL

Jefferson, AL

St. Clair, AL

Shelby, AL 0.9047 0.9337

1010 Bismarck, ND.

Burleigh, ND

Morton, ND 0.7976 0.8565

1020 Bloomington,

IN.

Monroe, IN 0.8619 0.9032

1040 BloomingtonNormal, IL.

McLean, IL 0.8921 0.9248

1080 Boise City, ID.

Ada, ID

Canyon, ID 0.9269 0.9493

1123 *BostonWorcester-Lawrence-LowellBrockton, MA-NH 1.1639 1.1095

Bristol, MA

Essex, MA

Middlesex, MA

Norfolk, MA

Plymouth, MA

Suffolk, MA

Worcester, MA

Hillsborough, NH

Merrimack, NH

Rockingham, NH

Strafford, NH

1125 BoulderLongmont CO ...... 0.9383 0.9573

Boulder, CO

1145 Brazoria, TX 0.8865 0.9208

Brazoria, TX

1150 Bremerton,

WA ....................... 1.0926 1.0625

Kitsap, WA
33930 Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

1240 BrownsvilleHarlingen-San Benito, TX ................ 0.8561 0.8991

Cameron, TX

1260 Bryan-College Station, TX ... 0.8760 0.9133

Brazos, TX

1280 *Buffalo-Niagara Falls, NY ... 0.9123 0.9391

Erie, NY

Niagara, NY

1303 Burlington,

VT ........................ 0.9126 0.9393

Chittenden, VT

Franklin, VT

Grand Isle, VT

1310 Caguas, PR 0.4661 0.5929

Caguas, PR

Cayey, PR

Cidra, PR

Gurabo, PR

San Lorenzo, PR

1320 CantonMassillon, OH ...... 0.8667 0.9067

Carroll, OH

Stark, OH

1350 Casper, WY 0.8841 0.9191

Natrona, WY

1360 Cedar Rapids, IA .................. 0.8477 0.8930

Linn, IA

1400 ChampaignUrbana, IL ............ 0.9413 0.9594

Champaign, IL

1440 CharlestonNorth Charleston,

SC ........................ 0.8984 0.9293

Berkeley, SC

Charleston, SC

Dorchester, SC

1480 Charleston,

WV ....................... 0.9547 0.9688

Kanawha, WV

Putnam, WV

1520 *CharlotteGastonia-Rock

Hill, NC-SC .......... 0.9631 0.9746

Cabarrus, NC

Gaston, NC

Lincoln, NC

Mecklenburg, NC

Rowan, NC

Union, NC

York, SC

1540 Charlottesville, VA ............... 0.9175 0.9427

Albemarle, VA

Charlottesville

City, VA

Fluvanna, VA

Greene, VA

1560 Chattanooga,

TN-GA ................. 0.8867 0.9210

Catoosa, GA

Dade, GA

Walker, GA

Hamilton, TN

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Marion, TN

1580 Cheyenne,

WY ....................... 0.7695 0.8357

Laramie, WY

1600 *Chicago, IL 1.0756 1.0512

Cook, IL

DeKalb, IL

DuPage, IL

Grundy, IL

Kane, IL

Kendall, IL

Lake, IL

McHenry, IL

Will, IL

1620 Chico-Paradise, CA ............... 1.0441 1.0300

Butte, CA

1640 *Cincinnati,

OH–KY–IN ........... 0.9477 0.9639

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 ClarksvilleHopkinsville, TN–

KY ........................ 0.7733 0.8386

Christian, KY

Montgomery, TN

1680 *ClevelandLorain-Elyria, OH 0.9908 0.9937

Ashtabula, OH

Cuyahoga, OH

Geauga, OH

Lake, OH

Lorain, OH

Medina, OH

1720 Colorado

Springs, CO ......... 0.9456 0.9624

El Paso, CO

1740 Columbia,

MO 0.8919 0.9246

Boone, MO

1760 Columbia,

SC ........................ 0.9178 0.9430

Lexington, SC

Richland, SC

1800 Columbus,

GA–AL ................. 0.7655 0.8328

Russell, AL

Chattanoochee,

GA

Harris, GA

Muscogee, GA

1840 *Columbus,

OH ....................... 0.9699 0.9793

Delaware, OH

Fairfield, OH

Franklin, OH

Licking, OH

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Madison, OH

Pickaway, OH

1880 Corpus

Christi, TX ............ 0.8641 0.9048

Nueces, TX

San Patricio, TX

1900 Cumberland,

MD–WV ............... 0.8613 0.9028

Allegany, MD

Mineral, WV

1920 *Dallas, TX 0.9530 0.9676

Collin, TX

Dallas, TX

Denton, TX

Ellis, TX

Henderson, TX

Hunt, TX

Kaufman, TX

Rockwall, TX

1950 Danville, VA 0.8516 0.8958

Danville City, VA

Pittsylvania, VA

1960 DavenportMoline-Rock Island, IA–IL ........... 0.8407 0.8880

Scott, IA

Henry, IL

Rock Island, IL

2000 DaytonSpringfield, OH .... 0.9582 0.9712

Clark, OH

Greene, OH

Miami, OH

Montgomery, OH

2020 Daytona

Beach, FL ............ 0.8891 0.9227

Flagler, FL

Volusia, FL

2030 Decatur, AL 0.8403 0.8877

Lawrence, AL

Morgan, AL

2040 Decatur, IL ... 0.7866 0.8484

Macon, IL

2080 *Denver, CO 1.0291 1.0198

Adams, CO

Arapahoe, CO

Denver, CO

Douglas, CO

Jefferson, CO

2120 Des Moines,

IA ......................... 0.8772 0.9142

Dallas, IA

Polk, IA

Warren, IA

2216 *Detroit, MI 1.0748 1.0506

Lapeer, MI

Macomb, MI

Monroe, MI

Oakland, MI

St. Clair, MI

Wayne, MI

2180 Dothan, AL 0.7758 0.8404

Dale, AL

Houston, AL

2190 Dover, DE .... 0.9017 0.9316

Kent, DE

2000 Dubuque, IA 0.8149 0.8692
Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices 33931

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Dubuque, IA

2240 Duluth-Superior, MN-WI .......... 0.9437 0.9611

St. Louis, MN

Douglas, WI

2281 Dutchess

County, NY .......... 1.0604 1.0410

Dutchess, NY

2290 Eau Claire,

WI ........................ 0.8698 0.9089

Chippewa, WI

Eau Claire, WI

2320 El Paso, TX 0.9486 0.9645

El Paso, TX

2330 Elkhart-Goshen, IN ............... 0.8820 0.9176

Elkhart, IN

2335 Elmira, NY ... 0.8436 0.8901

Chemung, NY

2340 Enid, OK ...... 0.7879 0.8494

Garfield, OK

2360 Erie, PA ....... 0.9137 0.9401

Erie, PA

2400 EugeneSpringfield, OR .... 1.1503 1.1006

Lane, OR

2440 EvansvilleHenderson, IN-KY 0.8990 0.9297

Posey, IN

Vanderburgh, IN

Warrick, IN

Henderson, KY

2520 Fargo-Moorhead, ND-MN ...... 0.9010 0.9311

Clay, MN

Cass, ND

2560 Fayetteville,

NC ....................... 0.9025 0.9322

Cumberland, NC

2580 FayettevilleSpringdale-Rogers, AR ................ 0.7236 0.8013

Benton, AR

Washington, AR

2620 Flagstaff, AZUT ........................ 0.9039 0.9331

Coconino, AZ

Kane, UT

2640 Flint, MI ........ 1.1273 1.0855

Genesee, MI

2650 Florence, AL 0.8157 0.8698

Colbert, AL

Lauderdale, AL

2655 Florence, SC 0.8614 0.9029

Florence, SC

2670 Fort CollinsLoveland, CO ...... 1.0628 1.0426

Larimer, CO

2680 *Ft. Lauderdale, FL ............... 1.0968 1.0653

Broward, FL

2700 Fort MyersCape Coral, FL .... 0.9093 0.9370

Lee, FL

2710 Fort PiercePort St. Lucie, FL 1.0192 1.0131

Martin, FL

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

St. Lucie, FL

2720 Fort Smith,

AR–OK ................ 0.7885 0.8498

Crawford, AR

Sebastian, AR

Sequoyah, OK

2750 Fort Walton

Beach, FL ............ 0.9186 0.9435

Okaloosa, FL

2760 Fort Wayne,

IN ......................... 0.8819 0.9175

Adams, IN

Allen, IN

DeKalb, IN

Huntington, IN

Wells, IN

Whitley, IN

2800 *Forth WorthArlington, TX ........ 1.0095 1.0065

Hood, TX

Johnson, TX

Parker, TX

Tarrant, TX

2840 Fresno, CA 1.1202 1.0808

Fresno, CA

Madera, CA

2880 Gadsden, AL 0.8901 0.9234

Etowah, AL

2900 Gainesville,

FL ........................ 0.9455 0.9623

Alachua, FL

2920 GalvestonTexas City, TX ..... 1.1022 1.0689

Galveston, TX

2960 Gary, IN ....... 0.9176 0.9428

Lake, IN

Porter, IN

2975 Glens Falls,

NY ........................ 0.8560 0.8990

Warren, NY

Washington, NY

2980 Goldsboro,

NC ....................... 0.8412 0.8883

Wayne, NC

2985 Grand Forks,

ND–MN ................ 0.9228 0.9465

Polk, MN

Grand Forks, ND

2995 Grand Junction, CO ............... 0.8847 0.9195

Mesa, CO

3000 Grand Rapids-Muskegon-Holland, MI ................ 1.0088 1.0060

Allegan, MI

Kent, MI

Muskegon, MI

Ottawa, MI

3040 Great Falls,

MT ....................... 0.9007 0.9309

Cascade, MT

3060 Greeley, CO 0.9712 0.9802

Weld, CO

3080 Green Bay,

WI ........................ 0.9387 0.9576

Brown, WI

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

3120 *GreensboroWinston-SalemHigh Point, NC .... 0.9327 0.9534

Alamance, NC

Davidson, NC

Davie, NC

Forsyth, NC

Guilford, NC

Randolph, NC

Stokes, NC

Yadkin, NC

3150 Greenville,

NC ....................... 0.9098 0.9373

Pitt, NC

3160 GreenvilleSpartanburg-Anderson, SC .......... 0.8947 0.9266

Anderson, SC

Cherokee, SC

Greenville, SC

Pickens, SC

Spartanburg, SC

3180 Hagerstown,

MD ....................... 0.9195 0.9441

Washington, MD

3200 HamiltonMiddletown, OH ... 0.9515 0.9665

Butler, OH

3240 HarrisburgLebanon-Carlisle,

PA Cumberland,

PA ........................ 1.0181 1.0124

Dauphin, PA

Lebanon, PA

Perry, PA.

3283 *Hartford, CT 1.2395 1.1584

Hartford, CT

Litchfield, CT

Middlesex, CT

Tolland, CT

3285 Hattiesburg,

MS ....................... 0.7269 0.8038

Forrest, MS

Lamar, MS

3290 Hickory-Morganton-Lenoir, NC 0.7945 0.8542

Alexander, NC

Burke, NC

Caldwell, NC

Catawba, NC

3320 Honolulu, HI 1.1487 1.0996

Honolulu, HI

3350 Houma, LA 0.7843 0.8467

Lafourche, LA

Terrebonne, LA

3360 *Houston, TX 0.9790 0.9856

Chambers, TX

Fort Bend, TX

Harris, TX

Liberty, TX

Montgomery, TX

Waller, TX

3400 HuntingtonAshland, WV-KYOH ....................... 0.9194 0.9441

Boyd, KY

Carter, KY
33932 Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Greenup, KY

Lawrence, OH

Cabell, WV

Wayne, WV

3440 Huntsville, AL 0.8145 0.8689

Limestone, AL

Madison, AL

3480 *Indianapolis,

IN ......................... 0.9950 0.9966

Boone, IN

Hamilton, IN

Hancock, IN

Hendricks, IN

Johnson, IN

Madison, IN

Marion, IN

Morgan, IN

Shelby, IN

3500 Iowa City, IA 0.9382 0.9573

Johnson, IA

3520 Jackson, MI 0.9066 0.9351

Jackson, MI

3560 Jackson, MS 0.7906 0.8514

Hinds, MS

Madison, MS

Rankin, MS

3580 Jackson, TN 0.8340 0.8831

Madison, TN

3600 Jacksonville,

FL ........................ 0.9018 0.9317

Clay, FL

Duval, FL

Nassau, FL

St. Johns, FL

3605 Jacksonville,

NC ....................... 0.7071 0.7887

Onslow, NC

3610 Jamestown,

NY ........................ 0.7679 0.8346

Chautaqua, NY

3620 JanesvilleBeloit, WI ............. 0.8664 0.9065

Rock, WI

3640 Jersey City,

NJ ........................ 1.1408 1.0944

Hudson, NJ

3660 Johnson CityKingsport-Bristol,

TN-VA .................. 0.8921 0.9248

Carter, TN

Hawkins, TN

Sullivan, TN

Unicoi, TN

Washington, TN

Bristol City, VA

Scott, VA

Washington, VA

3680 Johnstown,

PA ........................ 0.8417 0.8887

Cambria, PA

Somerset, PA

3710 Joplin, MO ... 0.7409 0.8144

Jasper, MO

Newton, MO

3720 KalamazooBattlecreek, MI .... 1.0565 1.0384

Calhoun, MI

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Kalamazoo, MI

Van Buren, MI

3740 Kankakee, IL 0.8998 0.9302

Kankakee, IL

3760 *Kansas City,

KS-MO ................. 0.9522 0.9670

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 0.9166 0.9421

Kenosha, WI

3810 Killeen-Temple, TX ................. 1.0415 1.0282

Bell, TX

Coryell, TX

3840 Knoxville, TN 0.8520 0.8961

Anderson, TN

Blount, TN

Knox, TN

Loudon, TN

Sevier, TN

Union, TN

3850 Kokomo, IN 0.8609 0.9025

Howard, IN

Tipton, IN

3870 La Crosse,

WI-MN ................. 0.8638 0.9046

Houston, MN

La Crosse, WI

3880 Lafayette, LA 0.8183 0.8717

Acadia, LA

Lafayette, LA

St. Landry, LA

St. Martin, LA

3920 Lafayette, IN 0.8824 0.9179

Clinton, IN

Tippecanoe, IN

3960 Lake

Charles, LA .......... 0.8052 0.8621

Calcasieu, LA

3980 LakelandWinter Haven, FL 0.8677 0.9074

Polk, FL

4000 Lancaster,

PA ........................ 0.9605 0.9728

Lancaster, PA

4040 Lansing-East

Lansing, MI .......... 1.0016 1.0011

Clinton, MI

Eaton, MI

Ingham, MI

4080 Laredo, TX ... 0.7092 0.79034100

Webb, TX

4100 Las Cruces,

NM ....................... 0.8516 0.8958

Dona Ana, NM

4120 *Las Vegas,

NV-AZ .................. 1.0894 1.0604

Mohave, AZ

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Clark, NV

Nye, NV

4150 Lawrence,

KS ........................ 0.8616 0.9030

Douglas, KS

4200 Lawton, OK 0.8339 0.8830

Comanche, OK

4243 Lewiston-Auburn, ME .............. 0.9431 0.9607

Androscoggin, ME

4280 Lexington,

KY ........................ 0.8387 0.8865

Bourbon, KY

Clark, KY

Fayette, KY

Jessamine, KY

Madison, KY

Scott, KY

Woodford, KY

4320 Lima, OH ..... 0.8752 0.9128

Allen, OH

Auglaize, OH

4360 Lincoln, NE 0.9193 0.9440

Lancaster, NE

4400 Little RockNorth Little Rock,

AR ........................ 0.8616 0.9030

Faulkner, AR

Lonoke, AR

Pulaski, AR

Saline, AR

4420 LongviewMarshall, TX ........ 0.8633 0.9042

Gregg, TX

Harrison, TX

Upshur, TX

4480 *Los Angeles-Long Beach,

CA ........................ 1.2396 1.1585

Los Angeles, CA

4520 Louisville,

KY-IN ................... 0.9445 0.9617

Clark, IN

Floyd, IN

Harrison, IN

Scott, IN

Bullitt, KY

Jefferson, KY

Oldham, KY

4600 Lubbock, TX 0.8525 0.8965

Lubbock, TX

4640 Lynchburg,

VA ........................ 0.8036 0.8609

Amherst, VA

Bedford, VA

Bedford City, VA

Campbell, VA

Lynchburg City,

VA

4680 Macon, GA 0.8836 0.9187

Bibb, GA

Houston, GA

Jones, GA

Peach, GA

Twiggs, GA

4720 Madison, WI 1.0048 1.0033

Dane, WI
Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices 33933

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

4800 Mansfield,

OH ....................... 0.8543 0.8978

Crawford, OH

Richland, OH

4840 Mayaguez,

PR ........................ 0.4186 0.5508

Anasco, PR

Cabo Rojo, PR

Hormigueros, PR

Mayaguez, PR

Sabana Grande,

PR

San German, PR

4880 McAllen-Edinburg-Mission, TX 0.8502 0.8948

Hidalgo, TX

4890 Medford-Ashland, OR .............. 1.0213 1.0145

Jackson, OR

4900 MelbourneTitusville-Palm

Bay, FL ................ 0.9089 0.9367

Brevard, Fl

4920 *Memphis,

TN-AR-MS ........... 0.8185 0.8718

Crittenden, AR

DeSoto, MS

Fayette, TN

Shelby, TN

Tipton, TN

4940 Merced, CA 1.0684 1.0463

Merced, CA

5000 *Miami, FL ... 0.9240 0.9473

Dade, FL

5015 *MiddlesexSomersetHunterdon, NJ ..... 1.0777 1.0526

Hunterdon, NJ

Middlesex, NJ

Somerset, NJ

5080 *MilwaukeeWaukesha, WI ..... 0.9667 0.9771

Milwaukee, WI

Ozaukee, WI

Washington, WI

Waukesha, WI

5120 *MinneapolisSt. Paul, MN–WI 1.0785 1.0531

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

5160 Mobile, AL ... 0.7999 0.8582

Baldwin, AL

Mobile, AL

5170 Modesto, CA 1.0135 1.0092

Stanislaus, CA

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

5190 *MonmouthOcean, NJ ........... 1.0842 1.0569

Monmouth, NJ

Ocean, NJ

5200 Monroe, LA 0.8234 0.8754

Ouachita, LA

5240 Montgomery,

AL ........................ 0.7949 0.8545

Autauga, AL

Elmore, AL

Montgomery, AL

5280 Muncie, IN 0.9736 0.9818

Delaware, IN

5330 Myrtle Beach,

SC ........................ 0.7798 0.8434

Horry, SC

5345 Naples, FL ... 1.0222 1.0151

Collier, FL

5360 *Nashville,

TN ........................ 0.9065 0.9350

Cheatham, TN

Davidson, TN

Dickson, TN

Robertson, TN

Rutherford, TN

Sumner, TN

Williamson, TN

Wilson, TN

5380 *Nassau-Suffolk, NY ................ 1.2852 1.1875

Nassau, NY

Suffolk, NY

5483 *New HavenBridgeport-Stamford-Waterbury ..... 1.2778 1.1828

Danbury, CT

Fairfield, CT

New Haven, CT

5523 New LondonNorwich, CT ......... 1.2345 1.1552

New London, CT

5560 *New Orleans, LA ................ 0.9434 0.9609

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 ........................ 1.4041 1.2616

Bronx, NY

Kings, NY

New York, NY

Putnam, NY

Queens, NY

Richmond, NY

Rockland, NY

Westchester, NY

5640 *Newark, NJ 1.1057 1.0712

Essex, NJ

Morris, NJ

Sussex, NJ

Union, NJ

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Warren, NJ

5660 Newburgh,

NY–PA ................. 1.0829 1.0561

Orange, NY

Pike, PA

5720 *Norfolk-Virginia Beach-Newport News, VA–

NC ....................... 0.8326 0.8821

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 1.5113 1.3268

Alameda, CA

Contra Costa, CA

5790 Ocala, FL.

Marion, FL 0.8999 0.9303

5800 Odessa-Midland, TX ............... 0.8552 0.8984

Ector, TX

Midland, TX

5880 *Oklahoma

City, OK ............... 0.8463 0.8920

Canadian, OK

Cleveland, OK

Logan, OK

McClain, OK

Oklahoma, OK

Pottawatomie, OK

5910 Olympia, WA 1.0713 1.0483

Thurston, WA

5920 Omaha, NE–

IA ......................... 0.9425 0.9603

Pottawattamie, IA

Cass, NE

Douglas, NE

Sarpy, NE

Washington, NE

5945 *Orange

County, CA .......... 1.1929 1.1284

Orange, CA

5960 *Orlando, FL 0.9491 0.9649

Lake, FL

Orange, FL

Osceola, FL

Seminole, FL

5990 Owensboro,

KY ........................ 0.7578 0.8270

Daviess, KY
33934 Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

6015 Panama City,

FL ........................ 0.8080 0.8642

Bay, FL

6020 ParkersburgMarietta, WV–OH 0.7895 0.8506

Washington, OH

Wood, WV

6080 Pensacola,

FL ........................ 0.8212 0.8738

Escambia, FL

Santa Rosa, FL

6120 Peoria-Pekin,

IL .......................... 0.8923 0.9249

Peoria, IL

Tazewell, IL

Woodford, IL

6160 *Philadelphia,

PA–NJ ................. 1.1197 1.0805

Burlington, NJ

Camden, NJ

Gloucester, NJ

Salem, NJ

Bucks, PA

Chester, PA

Delaware, PA

Montgomery, PA

Philadelphia, PA

6200 *PhoenixMesa, AZ ............. 0.9832 0.9885

Maricopa, AZ

Pinal, AZ

6240 Pine Bluff,

AR ........................ 0.7904 0.8512

Jefferson, AR

6280 *Pittsburgh,

PA ........................ 0.9726 0.9812

Allegheny, PA

Beaver, PA

Butler, PA

Fayette, PA

Washington, PA

Westmoreland, PA

6323 Pittsfield, MA 1.0570 1.0387

Berkshire, MA

6360 Ponce, PR ... 0.4500 0.5788

Guayanilla, PR

Juana Diaz, PR

Penuelas, PR

Ponce, PR

Villalba, PR

Yauco, PR

6403 Portland, ME 0.9615 0.9735

Cumberland, ME

Sagadahoc, ME

York, ME

6440 *PortlandVancouver, OR–

WA ....................... 1.1267 1.0851

Clackamas, OR

Columbia, OR

Multnomah, OR

Washington, OR

Yamhill, OR

Clark, WA

6483 ProvidenceWarwick-Pawtucket, RI ............. 1.1116 1.0751

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Bristol, RI

Kent, RI

Newport, RI

Providence, RI

Washington, RI

6520 Provo-Orem,

UT ........................ 1.0139 1.0095

Utah, UT

6560 Pueblo, CO 0.8302 0.8804

Pueblo, CO

6580 Punta Gorda,

FL ........................ 0.8284 0.8790

Charlotte, FL

6600 Racine, WI ... 0.8855 0.9201

Racine, WI

6640 Raleigh-Durham-Chapel Hill,

NC ....................... 0.9740 0.9821

Chatham, NC

Durham, NC

Franklin, NC

Johnston, NC

Orange, NC

Wake, NC

6660 Rapid City,

SD ........................ 0.8493 0.8942

Pennington, SD

6680 Reading, PA 0.9467 0.9632

Berks, PA

6690 Redding, CA 1.1631 1.1090

Shasta, CA

6720 Reno, NV ..... 1.1043 1.0703

Washoe, NV

6740 RichlandKennewick-Pasco,

WA ....................... 0.9993 0.9995

Benton, WA

Franklin, WA

6760 RichmondPetersburg, VA .... 0.9189 0.9437

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 *RiversideSan Bernardino,

CA ........................ 1.1251 1.0841

Riverside, CA

San Bernardino,

CA

6800 Roanoke, VA 0.8721 0.9105

Botetourt, VA

Roanoke, VA

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Roanoke City, VA

Salem City, VA

6820 Rochester,

MN ....................... 1.0452 1.0307

Olmsted, MN

6840 *Rochester,

NY ........................ 0.9611 0.9732

Genesee, NY

Livingston, NY

Monroe, NY

Ontario, NY

Orleans, NY

Wayne, NY

6880 Rockford, IL 0.9015 0.9315

Boone, IL

Ogle, IL

Winnebago, IL

6895 Rocky Mount,

NC ....................... 0.8951 0.9269

Edgecombe, NC

Nash, NC

6920 *Sacramento,

CA ........................ 1.2382 1.1576

El Dorado, CA

Placer, CA

Sacramento, CA

6960 Saginaw-Bay

City-Midland, MI 0.9605 0.9728

Bay, MI

Midland, MI

Saginaw, MI

6980 St. Cloud,

MN ....................... 0.9478 0.9640

Benton, MN

Stearns, MN

7000 St. Joseph,

MO ....................... 0.8570 0.8997

Andrews, MO

Buchanan, MO

7040 *St. Louis,

MO–IL .................. 0.8926 0.9251

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 ... 0.9749 0.9827

Marion, OR

Polk, OR

7120 Salinas, CA 1.3835 1.2489

Monterey, CA

7160 *Salt Lake

City-Ogden, UT ... 0.9677 0.9778

Davis, UT

Salt Lake, UT

Weber, UT

7200 San Angelo,

TX ........................ 0.7594 0.8282

Tom Green, TX
Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices 33935

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

7240 *San Antonio,

TX ........................ 0.8365 0.8849

Bexar, TX

Comal, TX

Guadalupe, TX

Wilson, TX

7320 *San Diego,

CA ........................ 1.2183 1.1448

San Diego, CA

7360 *San Francisco, CA ............. 1.4210 1.2720

Marin, CA

San Francisco,

CA

San Mateo, CA

7400 *San Jose,

CA ........................ 1.4435 1.2858

Santa Clara, CA

7440 *San JuanBayamon, PR ...... 0.4616 0.5890

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

ObispoAtascadero-Paso

Robles, CA .......... 1.1587 1.1061

San Luis Obispo,

CA

7480 Santa Barbara-Santa MariaLompoc, CA ......... 1.1267 1.0851

Santa Barbara,

CA

7485 Santa CruzWatsonville, CA ... 1.3551 1.2313

Santa Cruz, CA

7490 Santa Fe,

NM ....................... 1.0847 1.0573

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Los Alamos, NM

Santa Fe, NM

7500 Santa Rosa,

CA ........................ 1.2558 1.1688

Sonoma, CA

7510 SarasotaBradenton, FL ...... 0.9770 0.9842

Manatee, FL

Sarasota, FL

7520 Savannah,

GA ....................... 1.0089 1.0061

Bryan, GA

Chatham, GA

Effingham, GA

7560 Scranton—

Wilkes-Barre—Hazleton, PA ............ 0.8767 0.9138

Columbia, PA

Lackawanna, PA

Luzerne, PA

Wyoming, PA

7600 *SeattleBellevue-Everett,

WA ....................... 1.1410 1.0945

Island, WA

King, WA

Snohomish, WA

7610 Sharon, PA 0.8764 0.9136

Mercer, PA

7620 Sheboygan,

WI ........................ 0.7782 0.8422

Sheboygan, WI

7640 ShermanDenison, TX ......... 0.8650 0.9055

Grayson, TX

7680 ShreveportBossier City, LA ... 0.9379 0.9570

Bossier, LA

Caddo, LA

Webster, LA

7720 Sioux City,

IA-NE ................... 0.8331 0.8825

Woodbury, IA

Dakota, NE 7760

7760 Sioux Falls,

SD ........................ 0.8606 0.9023

Lincoln, SD

Minnehaha, SD

7800 South Bend,

IN ......................... 0.9957 0.9971

St. Joseph, IN

7840 Spokane, WA 1.0548 1.0372

Spokane, WA

7880 Springfield, IL 0.8783 0.9150

Menard, IL

Sangamon, IL

7920 Springfield,

MO ....................... 0.7840 0.8465

Christian, MO

Greene, MO

Webster, MO

8003 Springfield,

MA ....................... 1.0609 1.0413

Hampden, MA

Hampshire, MA

8050 State College, PA ............... 0.8875 0.9215

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Centre, PA

8080 SteubenvilleWeirton, OH–WV 0.8244 0.8761

Jefferson, OH

Brooke, WV

Hancock, WV

8120 StocktonLodi, CA ............... 1.1417 1.0950

San Joaquin, CA

8140 Sumter, SC 0.7716 0.8373

Sumter, SC

8160 Syracuse, NY 0.9406 0.9589

Cayuga, NY

Madison, NY

Onondaga, NY

Oswego, NY

8200 Tacoma, WA 1.0891 1.0602

Pierce, WA

8240 Tallahassee,

FL ........................ 0.8332 0.8825

Gadsden, FL

Leon, FL

8280 *Tampa-St.

Petersburg-Clearwater, FL ............. 0.9322 0.9531

Hernando, FL

Hillsborough, FL

Pasco, FL

Pinellas, FL

8320 Terre Haute,

IN ......................... 0.8611 0.9027

Clay, IN

Vermillion, IN

Vigo, IN

8360 Texarkana,

AR-Texarkana, TX 0.8484 0.8935

Miller, AR

Bowie, TX

8400 Toledo, OH 1.0383 1.0261

Fulton, OH

Lucas, OH

Wood, OH

8440 Topeka, KS 1.0108 1.0074

Shawnee, KS

8480 Trenton, NJ 1.0572 1.0388

Mercer, NJ

8520 Tucson, AZ 0.9050 0.9339

Pima, AZ

8560 Tulsa, OK .... 0.8113 0.8666

Creek, OK

Osage, OK

Rogers, OK

Tulsa, OK

Wagoner, OK

8600 Tuscaloosa,

AL ........................ 0.7723 0.8378

Tuscaloosa, AL

8640 Tyler, TX ...... 1.0158 1.0108

Smith, TX

8680 Utica-Rome,

NY ........................ 0.8421 0.8890

Herkimer, NY

Oneida, NY

8720 Vallejo-Fairfield-Napa, CA ..... 1.3483 1.2271

Napa, CA

Solano, CA
33936 Federal Register / Vol. 61, No. 127 / Monday, July 1, 1996 / Notices

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

8735 Ventura, CA 1.1169 1.0786

Ventura, CA

8750 Victoria, TX 0.8478 0.8931

Victoria, TX

8760 Vineland-Millville-Bridgeton, NJ 1.0015 1.0010

Cumberland, NJ

8780 VisaliaTulare-Porterville,

CA ........................ 1.0174 1.0119

Tulare, CA

8800 Waco, TX ..... 0.7789 0.8427

McLennan, TX

8840 *Washington,

DC–MD–VA–WV 1.0842 1.0569

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 WaterlooCedar Falls, IA .... 0.8724 0.9108

Black Hawk, IA

8940 Wausau, WI 1.0347 1.0236

Marathon, WI

8960 West Palm

Beach-Boca

Raton, FL ............. 1.0016 1.0011

Palm Beach, FL

9000 Wheeling,

OH–WV ............... 0.7580 0.8272

Belmont, OH

Marshall, WV

Ohio, WV

9040 Wichita, KS 0.9447 0.9618

Butler, KS

Harvey, KS

Sedgwick, KS

9080 Wichita Falls,

TX ........................ 0.8070 0.8634

TABLE 4a.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR URBAN AREAS—Continued

Urban area (constituent counties or

county equivalents)

Wage

index GAF

Archer, TX

Wichita, TX

9140 Williamsport,

PA ........................ 0.8487 0.8937

Lycoming, PA

9160 WilmingtonNewark, DE–MD 1.1341 1.0900

New Castle, DE

Cecil, MD

9200 Wilmington,

NC ....................... 0.9072 0.9355

New Hanover, NC

Brunswick, NC

9260 Yakima, WA 1.0049 1.0034

Yakima, WA

9270 Yolo, CA ...... 1.1470 1.0985

Yolo, CA

9280 York, PA ...... 0.9124 0.9391

York, PA

9320 YoungstownWarren, OH ......... 0.9764 0.9838

Columbiana, OH

Mahoning, OH

Trumbull, OH

9340 Yuba City,

CA ........................ 1.0437 1.0297

Sutter, CA

Yuba, CA

9360 Yuma, AZ .... 0.9518 0.9667

Yuma, AZ

* Large Urban Area

4. On pages 27527 to 27528, Table

4b—Wage Index and Capital Geographic

Adjustment Factor (GAF) for Rural

Areas is corrected by replacing the table

with the following table:

TABLE 4B.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR RURAL AREAS

Nonurban Area Wage

index GAF

Alabama ........................ 0.7160 0.7955

Alaska ........................... 1.2472 1.1633

Arizona .......................... 0.7946 0.8543

Arkansas ....................... 0.7000 0.7833

California ....................... 0.9991 0.9994

Colorado ........................ 0.8156 0.8697

Connecticut ................... 1.2788 1.1834

Delaware ....................... 0.9464 0.9630

Florida ........................... 0.8677 0.9074

Georgia ......................... 0.7659 0.8331

Hawaii ........................... 1.0268 1.0183

Idaho ............................. 0.8356 0.8843

Illinois ............................ 0.7567 0.8262

Indiana .......................... 0.8119 0.8670

Iowa ............................... 0.7394 0.8132

Kansas .......................... 0.7113 0.7919

Kentucky ....................... 0.7772 0.8415

Louisiana ....................... 0.7284 0.8049

Maine ............................ 0.8335 0.8827

Maryland ....................... 0.8446 0.8908

TABLE 4B.—WAGE INDEX AND CAPITAL

GEOGRAPHIC ADJUSTMENT FACTOR

(GAF) FOR RURAL AREAS—Continued

Nonurban Area Wage

index GAF

Massachusetts .............. 1.0794 1.0537

Michigan ........................ 0.8837 0.9188

Minnesota ...................... 0.8161 0.8701

Mississippi ..................... 0.6808 0.7685

Missouri ......................... 0.7249 0.8023

Montana ........................ 0.8137 0.8683

Nebraska ....................... 0.7245 0.8020

Nevada .......................... 0.8795 0.9158

New Hampshire ............ 0.9776 0.9846

New Jersey 1 ................. .............. ..............

New Mexico .................. 0.7873 0.8489

New York ...................... 0.8565 0.8994

North Carolina ............... 0.7945 0.8542

North Dakota ................. 0.7370 0.8114

Ohio ............................... 0.8349 0.8838

Oklahoma ...................... 0.6963 0.7805

Oregon .......................... 0.9715 0.9804

Pennsylvania ................. 0.8480 0.8932

Puerto Rico ................... 0.4182 0.5505

Rhode Island 1 ............... .............. ..............

South Carolina .............. 0.7679 0.8346

South Dakota ................ 0.7085 0.7898

Tennessee .................... 0.7372 0.8116

Texas ............................ 0.7430 0.8159

Utah ............................... 0.8854 0.9200

Vermont ......................... 0.8941 0.9262

Virginia .......................... 0.7760 0.8406

Washington ................... 0.9956 0.9970

West Virginia ................. 0.7943 0.8541

Wisconsin ...................... 0.8449 0.8910

Wyoming ....................... 0.8202 0.8731

1All counties within the State are classified

urban.

5. On page 27544, top of the page, the

title of table 6c is corrected to read as

follows: ‘‘TABLE 6C—INVALID

DIAGNOSIS CODES.’’

6. On page 27590, column two,

between the end of the fifth paragraph

and the beginning of the letter to The

Honorable Albert Gore, Jr., the following

text should be inserted: ‘‘Appendix D:

Report to Congress on the Update Factor

for Prospective Payment Hospitals and

Hospitals Excluded from the

Prospective Payment System.’’

(Catalog of Federal Domestic Assistance

Program No. 93.778, Medical Assistance

Program; No. 93.773 Medicare—Hospital

Insurance Program; and No. 93.774,

Medicare—Supplementary Medical

Insurance Program)

Dated: June 24, 1996.

Neil J. Stillman,

Deputy Assistant Secretary for Information

Resource Management.

[FR Doc. 96–16568 Filed 6–28–96; 8:45 am]

BILLING CODE 4120–01–P