Women-Owned Firms: 2002 -...

Women-Owned Firms: 2002

2002 Economic Census

Survey of Business Owners

Company Statistics Series

Issued January 2006

SB02-00CS-WMN

U.S. Department of CommerceEconomics and Statistics Administration

U.S. CENSUS BUREAU

Many persons participated in the various activities of the 2002 Survey of Business Owners (SBO). Thereport was prepared in the Company Statistics Division under the direction of Ewen M. Wilson, Chief.Overall planning, management, and coordination of this report were under the supervision of Ruth A.Runyan, Assistant Division Chief for Surveys and Programs. Planning and implementation were underthe direction of Lee R. Wentela, Chief, Economic Census Branch, assisted by Valerie C. Strang,Section Chief. Primary staff assistance was provided by Melody M. Atkinson, Ahmad Bakhshi,Lori E. Bowan, Anthony M. Caruso, Trey Cole, Elaine M. Emanuel, Mary G. Frauenfelder,Geoffrey S. Hill, Kimberly M. Hollingsworth, and James C. Jarzabkowski.

Mathematical and statistical techniques were provided by Carol V. Caldwell, Assistant Division Chieffor Research and Methods, assisted by Mark S. Sands, Chief, Statistical Research and Methods Branch,and Richard A. Moore, Chief, Statistical Improvement Staff. Sample design, imputation, estimation andvariance methodology were developed by James W. Hunt with assistance from Lieu Galvin, Steven S.Klement, Nancy L. Robbins, Beth S. Schlein, and Aneesah N. Williams.

Data collection, processing, and dissemination activities were coordinated by the Economic Planning andCoordination Division, under the direction of Shirin A. Ahmed, Chief. Bernard J. Fitzpatrick,Assistant Division Chief for Collection Activities, assisted by Sheila M. Proudfoot, Chief, Mailout andData Capture Branch, and Richard E. Hanks, Chief, Annual Surveys Processing Branch, wereresponsible for developing the systems and procedures for mailout, receipts and data capture, andelectronic products. Staff support was provided by Nancy J. Bean and Christopher L. Berbert.Donna L. Hambric, Chief, Economic Planning Staff, was responsible for overseeing the systems andinformation for dissemination. Douglas J. Miller, Chief, Tables and Dissemination Branch, assisted byLisa L. Aispuro, Jamie A. Fleming, Andrew W. Hait, Julia Naum, Shawna J. Orzechowski,John C. Walsh, and Jeremy M. Wiedemann, was responsible for developing the data disseminationsystems and procedures. The Geography Division staff, Robert A. LaMacchia, Chief, developedgeographic coding procedures and associated computer programs.

The Economic Statistical Methods and Programming Division, Howard R. Hogan, Chief, assisted byBarry F. Sessamen, Assistant Division Chief for Post Collection, developed and coordinated computerprocessing systems. Steven G. McCraith, Chief, Census Related Surveys Branch, supervised thepreparation of computer programs. Barbara Love Lambert, assisted by Evelyn Cabrera, Abi O.Okeneye, and Preet Singh Toor, provided primary computer programming and implementation.Gary T. Sheridan, Chief, Macro Analytical Branch, assisted by Carol R. Blatt, Jenny Hua, Apparao V.Katikineni, and Edward F. Johnson, provided special computer programming and implementation.

The Systems Support Division provided the table composition system. Robert Joseph Brown, TableImage Processing System (TIPS) Senior Software Engineer, was responsible for the design anddevelopment of the TIPS, under the supervision of Robert J. Bateman, Assistant Division Chief,Information Systems.

The staff of the National Processing Center performed mailout preparation and receipt operations,clerical and analytical review activities, and data entry.

Margaret A. Smith, Bernadette J. Beasley, and Michael T. Browne of the Administrative andCustomer Services Division, Walter C. Odom, Chief, provided publication and printing management,graphics design and composition, and editorial review for print and electronic media. General directionand production management were provided by James R. Clark, Assistant Division Chief, and Susan L.Rappa, Chief, Publications Services Branch.

Special acknowledgment is also due the many businesses whose cooperation contributed to thepublication of these data.

ACKNOWLEDGMENTS

Women-Owned Firms: 2002

2002 Economic Census

Survey of Business Owners

Company Statistics Series

Issued January 2006

SB02-00CS-WMN

U.S. Department of CommerceCarlos M. Gutierrez,

SecretaryDavid A. Sampson,

Deputy Secretary

Economics and Statistics AdministrationVacant,

Under Secretary forEconomic Affairs

U.S. CENSUS BUREAUCharles Louis Kincannon,

Director

Thomas L. Mesenbourg,Associate Directorfor Economic Programs

C. Harvey Monk, Jr.,Assistant Directorfor Economic Programs

Ewen M. Wilson,Chief, Company StatisticsDivision

ECONOMICS

AND STATISTICS

ADMINISTRATION

Economicsand StatisticsAdministration

Vacant,Under Secretaryfor Economic Affairs

U.S. CENSUS BUREAU

Charles Louis Kincannon,Director

Hermann Habermann,Deputy Director andChief Operating Officer

CONTENTS

Introduction vi��

Tables

1. Statistics for Women�Owned Firms by Kind of Business: 2002 1�

2. Statistics for Women�Owned Firms by State and Kind ofBusiness: 2002 4��

3. Statistics by Kind of Business for Selected Metropolitan andMicropolitan Statistical Areas With 100 or MoreWomen�Owned Firms: 2002 19��

4. Statistics for Selected Counties With 100 or MoreWomen�Owned Firms: 2002 344��

5. Statistics for Selected Places With 100 or More Women�OwnedFirms: 2002 377��

6. Statistics for Women�Owned Firms by Kind of Business andReceipts Size of Firm: 2002 442��

7. Statistics for Women�Owned Firms With Paid Employees byKind of Business and Employment Size of Firm: 2002 446��

8. Statistics for Women�Owned Firms With No Paid Employees byKind of Business: 2002 449��

9. Statistics for Women�Owned Firms With No Paid Employees byState: 2002 450��

10. Statistics for Women�Owned Firms With No Paid Employees byReceipts Size of Firm: 2002 451��

11. Statistics for All U.S. Firms by Kind of Business and Gender:2002 452��

12. Statistics for All U.S. Firms by State, Kind of Business, andGender: 2002 455��

13. Statistics for All U.S. Firms by Kind of Business, Receipts Sizeof Firm, and Gender: 2002 586��

14. Statistics for All U.S. Firms With Paid Employees by Kind ofBusiness, Employment Size of Firm, and Gender: 2002 611��

15. Statistics for All U.S. Firms With No Paid Employees by Kind ofBusiness and Gender: 2002 630��

16. Statistics for All U.S. Firms With No Paid Employees by Stateand Gender: 2002 633��

17. Statistics for All U.S. Firms With No Paid Employees byReceipts Size of Firm and Gender: 2002 639��

18. Statistics for All U.S. Firms With Paid Employees by Number ofKinds of Businesses in Which They Operate and Gender:2002 640��

19. Statistics for All U.S. Firms With Paid Employees by Number ofStates in Which They Operate and Gender: 2002 641��

20. Statistics for All U.S. Firms With Paid Employees by Number ofMetropolitan and Micropolitan Statistical Areas in Which TheyOperate and Gender: 2002 642��

iv Women�Owned Firms Survey of Business OwnersU.S. Census Bureau, 2002 Economic Census

CONTENTS�Con.

Appendixes

A. Explanation of Terms A–1��

B. NAICS Codes, Titles, and Descriptions B–1��

C. Methodology C–1��

D. Geographic Notes D–1��

E. Metropolitan and Micropolitan Statistical Areas E–1��

Survey of Business Owners Women�Owned Firms vU.S. Census Bureau, 2002 Economic Census

Introduction

PURPOSES AND USES OF THE ECONOMIC CENSUS

The economic census is the major source of facts about the structure and functioning of thenation’s economy. It provides essential information for government, business, industry, and thegeneral public. Title 13 of the United States Code (Sections 131, 191, and 224) directs the CensusBureau to take the economic census every 5 years, covering years ending in ‘‘2’’ and ‘‘7.’’

The economic census furnishes an important part of the framework for such composite measuresas the gross domestic product estimates, input/output measures, production and price indexes,and other statistical series that measure short-term changes in economic conditions. Specific usesof economic census data include the following:

• Policymaking agencies of the federal government use the data to monitor economic activity andto assess the effectiveness of policies.

• State and local governments use the data to assess business activities and tax bases withintheir jurisdictions and to develop programs to attract business.

• Trade associations study trends in their own and competing industries, which allows them tokeep their members informed of market changes.

• Individual businesses use the data to locate potential markets and to analyze their own produc-tion and sales performance relative to industry or area averages.

BASIS OF REPORTING

The economic census is conducted on an establishment basis. A company operating at more thanone location is required to file a separate report for each store, factory, shop, or other location.Each establishment is assigned a separate industry classification based on its primary activity andnot that of its parent company. (For selected industries, only payroll, employment, and classifica-tion are collected for individual establishments, while other data are collected on a consolidatedbasis.)

The Survey of Business Owners (SBO) is conducted on a company or firm basis rather than anestablishment basis. A company or firm is a business consisting of one or more domestic estab-lishments that the reporting firm specified under its ownership or control at the end of 2002.

INDUSTRY CLASSIFICATIONS

Data from the 2002 SBO are summarized by kind of business based on the 2002 North AmericanIndustry Classification System (NAICS). The 2002 SBO includes all firms operating during 2002with receipts of $1,000 or more which are classified in one or more of the following NAICS sec-tors:

11 Forestry, Fishing and Hunting, and Agricultural Support Services (NAICS 113-115)21 Mining22 Utilities23 Construction31-33 Manufacturing42 Wholesale Trade44-45 Retail Trade48-49 Transportation and Warehousing51 Information52 Finance and Insurance53 Real Estate and Rental and Leasing

vi Introduction Survey of Business Owners

U.S. Census Bureau, 2002 Economic Census

54 Professional, Scientific, and Technical Services55 Management of Companies and Enterprises56 Administrative and Support and Waste Management and Remediation Services61 Educational Services62 Health Care and Social Assistance71 Arts, Entertainment, and Recreation72 Accommodation and Food Services81 Other Services (except Public Administration)99 Industries Not Classified

The 20 NAICS sectors are subdivided into 96 subsectors (three-digit codes) and 317 industrygroups (four-digit codes). Selected NAICS industries are defined in Appendix B, NAICS Codes,Titles, and Descriptions.

The following NAICS industries are not covered in the 2002 SBO:

• crop and animal production (NAICS 111, 112)

• scheduled air transportation (NAICS 4811, part)

• rail transportation (NAICS 482)

• postal service (NAICS 491)

• funds, trusts, and other financial vehicles (NAICS 525), except real estate investment trusts(NAICS 525930)

• religious, grantmaking, civic, professional, and similar organizations (NAICS 813)

• private households (NAICS 814), and

• public administration (NAICS 92).

RELATIONSHIP TO HISTORICAL INDUSTRY CLASSIFICATIONS

Prior to the 2002 SBO, data were published according to the Standard Industrial Classification (SIC)system. NAICS identifies new industries, redefines concepts, and develops classifications to reflectchanges in the economy. While many of the individual NAICS industries correspond directly toindustries as defined under the SIC system, most of the higher level groupings do not. Particularcare should be taken in comparing data for construction, manufacturing, retail trade, and whole-sale trade, which are sector titles used in both the NAICS and SIC systems, but cover somewhatdifferent groups of industries. A description and comparison of the NAICS and SIC systems can befound in the 2002 NAICS and 1987 Correspondence Tables on the Internet atwww.census.gov/epcd/naics02/N02TOS87.HTM.

GEOGRAPHIC AREA CODING

Accurate and complete information on the physical location of each establishment is required totabulate the economic census data for states, metropolitan and micropolitan statistical areas,counties, and corporate municipalities (places) including cities, towns, townships, villages, andboroughs. Respondents were required to report their physical location (street address, municipal-ity, county, and state) if it differed from their mailing address. For establishments not surveyed bymail (and those single-establishment companies that did not provide acceptable information onphysical location), location information from administrative sources is used as a basis for coding.

The 2002 SBO data are presented for the United States, each state and the District of Columbia;metropolitan and micropolitan statistical areas; counties; and corporate municipalities (places)including cities, towns, townships, villages, and boroughs with 100 or more minority- or women-owned firms. Although collected on a company basis, data are published such that firms withmore than one domestic establishment are counted in each geographic area in which they oper-ate. The employment, payroll, and receipts reflect the sum of their locations within the specifiedgeography and are, therefore, additive to higher levels. The sum of firms, however, reflects allfirms in a given tabulation level and are not additive. For example, a firm with operating locationsin two counties will be counted in both counties, but only once in the state total.

Introduction viiSurvey of Business Owners


HISTORICAL INFORMATION

The economic census has been taken as an integrated program at 5-year intervals since 1967 andbefore that for 1954, 1958, and 1963. Prior to that time, individual components of the economiccensus were taken separately at varying intervals.

The economic census traces its beginnings to the 1810 Decennial Census, when questions onmanufacturing were included with those for population. Coverage of economic activities wasexpanded for the 1840 Decennial Census and subsequent censuses to include mining and somecommercial activities. The 1905 Manufactures Census was the first time a census was taken apartfrom the regular decennial population census. Censuses covering retail and wholesale trade andconstruction industries were added in 1930, as were some service trades in 1933. Censuses ofconstruction, manufacturing, and the other business censuses were suspended during World WarII.

The 1954 Economic Census was the first census to be fully integrated, providing comparable cen-sus data across economic sectors and using consistent time periods, concepts, definitions, classi-fications, and reporting units. It was the first census to be taken by mail, using lists of firms pro-vided by the administrative records of other federal agencies. Since 1963, administrative recordsalso have been used to provide basic statistics for very small firms, reducing or eliminating theneed to send them census report forms.

The range of industries covered in the economic census expanded between 1967 and 2002. Thecensus of construction industries began on a regular basis in 1967, and the scope of serviceindustries, introduced in 1933, was broadened in 1967, 1977, and 1987. While a few transporta-tion industries were covered as early as 1963, it was not until 1992 that the census broadened toinclude all of transportation, communications, and utilities. Also new for 1992 was coverage offinancial, insurance, and real estate industries. With these additions, the economic census and theseparate census of governments and census of agriculture collectively covered roughly 98 percentof all economic activity. New for 2002 is coverage of four industries classified in the agriculture,forestry, and fishing sector under the SIC system: landscape architectural services, landscapingservices, veterinary services, and pet care services.

The Survey of Business Owners, formerly known as the Survey of Minority-Owned Business Enter-prises, was first conducted as a special project in 1969 and was incorporated into the economiccensus in 1972 along with the Survey of Women-Owned Businesses.

An economic census has also been taken in Puerto Rico since 1909, in the Virgin Islands of theUnited States and Guam since 1958, in the Commonwealth of the Northern Mariana Islands since1982, and in American Samoa for the first time as part of the 2002 Economic Census.

Printed statistical reports from the 1992 and earlier censuses provide historical figures for thestudy of long-term time series and are available in some large libraries. Reports for 1997 werepublished primarily on the Internet and copies of 1992 reports are also available there. CD-ROMsissued from the 1987, 1992, and 1997 Economic Censuses contain databases that include nearlyall data published in print, plus additional statistics, such as ZIP Code statistics, published only onCD-ROM.

SOURCES FOR MORE INFORMATION

More information about the scope, coverage, classification system, data items, and publicationsfor the 2002 Economic Census and related surveys is published in the Guide to the 2002 EconomicCensus at www.census.gov/econ/census02/guide. More information on the methodology, proce-dures, and history of the census will be published in the History of the 2002 Economic Census atwww.census.gov/econ/www/history.html.

REPORTS

The following reports are published from the 2002 Economic Census, Company Statistics (CS)Series, Survey of Business Owners, and include totals for all U.S. businesses based on the 2002Economic Census and estimates of business ownership by gender, Hispanic or Latino origin, and

viii Introduction Survey of Business Owners


race based on the 2002 SBO. Estimates for equally male-/female-owned firms and publicly heldcompanies and other businesses whose ownership cannot be classified by gender, Hispanic orLatino origin, and race are tabulated and published separately.

Minority-Owned Firms.

• American Indian- and Alaska Native-Owned Firms

• Asian-Owned Firms

• Black-Owned Firms

• Hispanic-Owned Firms

• Native Hawaiian- and Other Pacific Islander-Owned Firms

Data are presented by industry classifications and/or geographic area (states, metropolitan andmicropolitan statistical areas, counties, and corporate municipalities (places) including cities,towns, townships, villages, and boroughs) and size of firm (employment and receipts). Datainclude estimates at the U.S., state, and metropolitan and micropolitan statistical area levels bydetailed Asian or Pacific Islander group in the Asian-Owned Firms and the Native Hawaiian- andOther Pacific Islander-Owned Firms reports; and by Hispanic subgroup in the Hispanic-OwnedFirms report.

Women-Owned Firms. Data are presented by industry classifications and/or geographic area(states, metropolitan and micropolitan statistical areas, counties, and corporate municipalities(places) including cities, towns, townships, villages, and boroughs) and size of firm (employmentand receipts).

Company Summary. Data include all businesses (minority-, nonminority-, female-, male-, andequally male-/female-owned; publicly held companies and other businesses whose ownershipcannot be classified by gender, Hispanic or Latino origin, and race) and are presented by industryclassifications and/or geographic area (states, metropolitan and micropolitan statistical areas,counties, and corporate municipalities (places) including cities, towns, townships, villages, andboroughs) and size of firm (employment and receipts).

Characteristics of Business Owners. Data are presented by industry classifications at the U.S.level; by state; and by size of firm (employment and receipts). Data will include additional demo-graphic and economic characteristics of business owners and their businesses, such as: owner’sage, education level, veteran status, and primary function in the business; family- and home-based businesses; types of customers and workers; and sources of financing for expansion, capi-tal improvements, or start-up.

DOLLAR VALUES

All dollar values presented in the SBO reports are expressed in current dollars, i.e, 2002 data areexpressed in 2002 dollars and 1997 data in 1997 dollars. Consequently, when making compari-sons to prior years, data users should take into consideration the inflation that has occurred.

COMPARABILITY OF THE 1997 AND 2002 SBO DATA

The data presented in the 2002 SBO are based on the 2002 NAICS. Previous data were presentedaccording to the SIC system developed in the 1930s. Due to this change, comparability betweencensus years is limited (see Relationship to Historical Industry Classifications section).

The 2002 SBO covers more of the economy than any previous survey. New for 2002 are data oninformation, finance and insurance, real estate, and health-care industries. The scope of the cen-sus includes virtually all sectors of the economy.

Additional information about NAICS is available from the Census Bureau Internet site atwww.census.gov/naics.

More information on the comparability of the SBO data is included in Appendix C, Methodology.

Introduction ixSurvey of Business Owners


RELIABILITY OF ESTIMATES

The figures shown in this report are, in part, estimated from a sample and will differ from the fig-ures which would have been obtained from a complete census. Two types of possible errors areassociated with estimates based on data from sample surveys: sampling errors and nonsamplingerrors. The accuracy of a survey result depends not only on the sampling errors and nonsamplingerrors measured, but also on the nonsampling errors not explicitly measured. For particular esti-mates, the total error may considerably exceed the measured errors. More information on the reli-ability of the data is included in Appendix C, Methodology.

DISCLOSURE

In accordance with federal law governing census reports (Title 13 of the United States Code), nodata are published that would disclose the operations of an individual establishment or business.However, the number of firms in a kind-of-business or industry classification is not considered adisclosure; therefore, this information may be released even though other information is withheld.Techniques employed to limit disclosure are discussed atwww.census.gov/epcd/ec02/disclosure.htm.

The information and data obtained from the Internal Revenue Service, the Social Security Adminis-tration, and other sources are also treated as confidential and can be seen only by Census Bureauemployees sworn to protect the data from disclosure.

CONTACTS FOR DATA USERS

Questions about these data may be directed to the U.S. Census Bureau, Company Statistics Divi-sion, Economic Census Branch, 301-763-3316 or [email protected].

AVAILABILITY OF ADDITIONAL DATA

Reports in Print and Electronic Media. All results of the 2002 Economic Census, including theSBO, will be available on the Census Bureau Internet site (www.census.gov) and on digital versatilediscs (DVD-ROMs) for sale by the Census Bureau. The American FactFinder system at the Web siteallows selective retrieval and downloading of the data. For more information, including a descrip-tion of electronic and printed reports being issued, see the Internet site, write to U.S. CensusBureau, Washington, DC 20233-0801, or call Customer Services at 301-763-4100.

Special Tabulations. Special tabulations of data collected in the 2002 SBO may be obtained,depending on availability of time and personnel, in electronic or tabular form. The data will besummaries subject to the same rules prohibiting disclosure of confidential information (includingname, address, kind of business, or other data for individual business establishments or compa-nies) that govern the regular publications.

Special tabulations are prepared on a cost basis. A request for a cost estimate, as well as exactspecifications on the type and format of the data to be provided, should be directed to the Chiefof the Economic Census Branch, Company Statistics Division, U.S. Census Bureau, Washington, DC20233-6400.

To discuss a special tabulation before submitting specifications, call 301-763-3316.

ABBREVIATIONS AND SYMBOLS

The following abbreviations and symbols are used with the 2002 Economic Census data:

– Represents zero (page image/print only)D Withheld to avoid disclosing data for individual companies; data are included in higher level

totalsN Not available or not comparableS Estimates are suppressed when publication standards are not met, such as, the firm count is less

than 3, or the relative standard error of the sales and receipts is 50 percent or more.X Not applicablea 0 to 19 employees

x Introduction Survey of Business Owners


b 20 to 99 employeesc 100 to 249 employeese 250 to 499 employeesf 500 to 999 employeesg 1,000 to 2,499 employeesh 2,500 to 4,999 employeesi 5,000 to 9,999 employeesj 10,000 to 24,999 employeesk 25,000 to 49,999 employeesl 50,000 to 99,999 employeesm 100,000 employees or moret 90 percent or more reportingu 80 to 89 percent reportingv 70 to 79 percent reportingw 60 to 69 percent reportingy Less than 60 percent reporting

Introduction xiSurvey of Business Owners


Table 2. Statistics for Women�Owned Firms by State and Kind of Business: 2002�Con.[Includes firms with paid employees and firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates arebased on the 2002 Survey of Business Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, eachowner had the option of selecting more than one race and therefore is included in each race selected. This table is based on the 2002 North American Industry Classification System (NAICS). Formeaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For information on confidentiality protection, sampling error, and definitions, see note at the endof the table]

2002NAICScode

Geographic area and kind of business

All firms1 Firms with paid employees

Relative standard error of estimate(percent)2 for column�

Firms(number)

Sales andreceipts($1,000)

Firms(number)


Employees(number)

Annualpayroll

($1,000)

A B C D E F A B C D E F

FLORIDA�Con.

Total for all sectors�Con.56 Administrative and support and waste management

and remediation services 50 943�� 3 923 931 5 472 3 316 527 85 038 1 483 467 2 8 5 9 5 661 Educational services 10 032�� 450 686 1 115 361 308 7 090 135 541 5 6 6 9 9 962 Health care and social assistance 60 508�� 4 350 875 7 810 3 313 578 53 101 1 469 480 2 10 5 12 9 1471 Arts, entertainment, and recreation 16 121�� 590 091 937 318 378 4 333 97 424 4 9 11 9 13 1072 Accommodation and food services 10 019�� 2 508 237 4 656 2 266 234 59 143 618 951 6 8 3 9 14 1181 Other services (except public administration)6 74 089�� 2 501 880 5 823 1 209 548 25 774 422 046 3 8 6 5 13 999 Industries not classified 243�� 20 483 243 20 483 155 3 426 17 32 17 32 40 32

GEORGIA

Total for all sectors 196 195�� 30 029 406 27 005 25 765 483 196 820 5 014 014 1 2 2 2 2 211 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 453�� 56 791 93 D e D 24 11 22 D D D21 Mining 23�� D S D a D 61 D S D D D22 Utilities 39�� 37 410 4 D b D 40 1 – D D D23 Construction 7 079�� 1 712 238 1 350 1 427 427 9 364 292 654 6 8 9 9 14 1331�33 Manufacturing 2 553�� 2 852 643 941 2 813 813 17 034 533 985 9 5 12 6 8 1042 Wholesale trade 3 547�� 7 251 276 1 264 7 134 806 10 901 383 026 9 5 6 5 5 544�45 Retail trade 27 385�� 4 095 984 4 343 3 589 173 23 951 440 364 4 5 5 6 8 748�49 Transportation and warehousing4 3 818�� 873 724 599 769 596 4 916 146 388 10 5 6 5 6 651 Information 2 313�� 2 280 652 377 2 210 801 13 125 535 880 5 4 9 5 4 652 Finance and insurance5 4 918�� 1 211 700 1 116 1 055 232 5 344 197 795 7 4 7 5 12 1153 Real estate and rental and leasing 16 410�� 1 267 777 1 792 574 264 4 725 117 322 3 9 3 4 11 854 Professional, scientific, and technical services 27 138�� 2 454 166 4 282 1 766 663 17 259 623 796 4 4 4 5 6 455 Management of companies and enterprises 40�� 100 449 40 100 449 1 847 131 529 2 – 2 – – –56 Administrative and support and waste management

and remediation services 20 297�� 1 275 493 1 677 1 017 920 23 254 482 648 2 7 7 8 5 661 Educational services 6 075�� 219 109 635 165 000 4 228 61 031 6 10 10 11 11 1262 Health care and social assistance 25 629�� 1 732 840 3 348 1 326 711 24 219 554 060 2 6 3 6 6 871 Arts, entertainment, and recreation 7 761�� 251 684 390 121 251 2 071 28 581 4 10 15 13 16 1472 Accommodation and food services 5 401�� 1 109 056 2 238 981 601 23 263 274 533 8 12 6 15 12 1681 Other services (except public administration)6 35 234�� 1 231 221 2 429 622 046 10 868 196 620 2 5 5 9 11 1199 Industries not classified 166�� D 166 D c D 24 D 24 D D D

HAWAII

Total for all sectors 29 897�� 4 562 205 4 544 3 913 035 38 569 810 868 3 6 4 6 8 711 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 141�� 4 610 S D b D 75 28 S D D D21 Mining 1�� D 1 D a D – D – D D D22 Utilities 1�� D – – – – – D – – – –23 Construction 607�� 229 115 146 213 953 1 366 43 427 21 29 26 31 33 2331�33 Manufacturing 882�� 127 280 153 112 785 1 229 28 790 9 10 14 10 11 942 Wholesale trade 956�� 880 719 291 831 034 2 195 61 312 15 12 19 14 25 2544�45 Retail trade 4 752�� 1 301 136 909 1 211 531 8 467 160 288 8 6 8 6 5 1048�49 Transportation and warehousing4 240�� 80 233 94 76 065 805 20 601 28 13 21 14 21 1351 Information 310�� 32 849 42 24 404 302 8 899 13 8 67 9 16 1252 Finance and insurance5 435�� 66 978 99 51 323 447 20 737 17 25 19 31 24 2753 Real estate and rental and leasing 2 984�� 243 159 366 142 506 1 038 28 344 12 13 13 16 19 3054 Professional, scientific, and technical services 4 102�� 232 059 452 161 796 2 167 65 523 8 16 9 19 20 2855 Management of companies and enterprises 13�� D 13 D f D 7 D 7 D D D56 Administrative and support and waste management

and remediation services 2 426�� 232 064 323 191 474 6 373 91 462 14 16 12 16 27 2361 Educational services 563�� 20 733 98 D e D 26 16 34 D D D62 Health care and social assistance 3 340�� 263 701 439 178 701 2 878 76 975 10 24 21 27 19 2271 Arts, entertainment, and recreation 1 789�� 75 957 65 41 079 853 7 598 12 9 23 11 18 1572 Accommodation and food services 1 220�� 579 588 715 554 546 7 970 138 482 14 15 20 14 20 1781 Other services (except public administration)6 5 158�� 177 490 354 90 642 1 380 23 100 6 12 18 22 28 2299 Industries not classified 18�� D 18 D b D 29 D 29 D D D

IDAHO


services (NAICS 113�115)3 271�� 16 760 S S S S 26 46 S S S S21 Mining 20�� 31 434 S D c D 60 2 S D D D22 Utilities S�� S S S S S S S S S S S23 Construction 1 259�� 300 910 366 270 291 1 975 52 437 12 20 15 24 17 1531�33 Manufacturing 602�� 287 740 186 278 086 1 668 45 606 14 4 24 4 5 542 Wholesale trade 374�� 619 024 76 607 222 1 361 38 751 21 28 25 29 16 1444�45 Retail trade 4 756�� 683 540 879 609 631 4 216 68 832 5 21 14 24 16 2348�49 Transportation and warehousing4 489�� 81 366 108 66 704 686 14 489 21 22 38 25 15 1751 Information 296�� 62 362 56 58 091 685 15 523 20 12 38 13 21 1752 Finance and insurance5 668�� 50 485 153 34 616 255 6 546 12 10 35 19 21 2453 Real estate and rental and leasing 2 051�� 183 544 365 114 139 772 15 310 11 16 15 20 11 1754 Professional, scientific, and technical services 3 357�� 226 165 446 176 269 2 219 72 303 9 8 13 9 11 955 Management of companies and enterprises 12�� 1 645 12 1 645 120 5 049 – – – – – –56 Administrative and support and waste management

and remediation services 2 359�� 138 865 297 115 115 3 372 61 520 8 13 20 18 10 1961 Educational services 880�� 17 525 S D c D 22 49 S D D D62 Health care and social assistance 4 913�� 238 173 611 170 223 3 168 69 767 5 12 9 15 12 1371 Arts, entertainment, and recreation 908�� 27 444 58 20 273 504 5 068 21 14 24 11 18 972 Accommodation and food services 887�� 145 473 531 132 379 4 039 36 789 14 14 9 13 14 1481 Other services (except public administration)6 4 697�� 100 082 280 41 459 1 047 12 806 8 9 19 13 26 1399 Industries not classified S�� S S S S S S S S S S S

See footnotes at end of table.

Survey of Business Owners Women�Owned Firms 7U.S. Census Bureau, 2002 Economic Census

Table 2. Statistics for Women�Owned Firms by State and Kind of Business: 2002�Con.[Includes firms with paid employees and firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates arebased on the 2002 Survey of Business Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, eachowner had the option of selecting more than one race and therefore is included in each race selected. This table is based on the 2002 North American Industry Classification System (NAICS). Formeaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For information on confidentiality protection, sampling error, and definitions, see note at the endof the table]

2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


WEST VIRGINIA


services (NAICS 113�115)3 S�� S S D e D S S S D D D21 Mining 426�� 32 922 17 25 005 310 11 071 35 5 24 3 2 122 Utilities 13�� 12 051 S D b D 33 1 S D D D23 Construction 831�� 305 584 344 284 023 2 424 75 129 11 36 20 36 37 3931�33 Manufacturing 369�� 363 644 100 358 655 3 073 85 420 18 2 13 2 4 542 Wholesale trade 388�� 198 727 114 192 483 846 23 866 19 17 29 17 13 2044�45 Retail trade 6 926�� 977 358 838 858 423 4 851 88 685 5 33 7 38 16 3048�49 Transportation and warehousing4 692�� 115 708 157 98 029 970 21 299 19 26 16 32 16 2251 Information 237�� 24 531 37 21 228 383 7 137 14 12 42 15 28 1752 Finance and insurance5 434�� 60 046 83 51 188 565 13 897 24 15 34 17 32 2553 Real estate and rental and leasing 1 744�� 145 906 172 98 636 724 17 686 8 13 18 17 18 1354 Professional, scientific, and technical services 2 919�� 207 698 472 166 636 2 327 62 629 7 17 26 21 22 2255 Management of companies and enterprises S�� D S D c D S D S D D D56 Administrative and support and waste management

and remediation services 2 458�� 114 678 239 90 117 2 927 41 814 8 20 24 22 15 2061 Educational services 908�� 17 741 43 D e D 22 9 26 D D D62 Health care and social assistance 5 393�� 252 085 513 192 590 3 547 68 609 5 11 13 14 11 1371 Arts, entertainment, and recreation 917�� 48 161 144 38 987 633 11 511 15 39 58 48 48 6172 Accommodation and food services 1 143�� 169 606 704 162 304 4 849 46 438 7 10 12 11 13 1181 Other services (except public administration)6 5 394�� 176 703 481 102 512 2 139 31 722 8 12 18 17 17 1399 Industries not classified S�� D S D a D S D S D D D

WISCONSIN

Total for all sectors 104 170�� 17 582 321 16 882 15 935 153 149 777 3 249 029 1 4 3 4 8 611 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 749�� 29 043 S S S S 21 35 S S S S21 Mining 11�� 14 879 6 D c D 14 13 26 D D D22 Utilities 56�� 5 754 6 D b D 77 8 74 D D D23 Construction 3 349�� 1 406 553 930 1 356 521 8 079 313 207 9 7 10 7 8 631�33 Manufacturing 2 427�� 3 839 842 939 3 817 237 24 827 802 714 6 10 15 10 17 1342 Wholesale trade 2 002�� 4 224 842 593 4 187 480 8 026 265 819 13 4 15 4 14 1344�45 Retail trade 22 699�� 2 598 268 2 734 2 296 827 16 039 268 127 2 9 5 10 8 1248�49 Transportation and warehousing4 1 845�� 489 886 511 435 689 5 468 125 123 15 10 15 11 21 1151 Information 1 017�� 167 612 107 153 986 1 565 45 620 16 10 31 10 20 1552 Finance and insurance5 2 624�� 256 061 515 203 732 1 771 53 840 6 11 14 11 19 1953 Real estate and rental and leasing 6 474�� 572 360 670 302 785 2 837 52 319 4 8 9 10 12 854 Professional, scientific, and technical services 11 841�� 847 475 1 733 638 542 8 643 267 682 3 9 8 12 20 1555 Management of companies and enterprises 55�� 40 166 55 40 166 1 853 81 341 29 14 29 14 10 456 Administrative and support and waste management

and remediation services 6 515�� 627 571 1 147 575 694 18 021 266 512 5 9 13 9 17 1361 Educational services 3 101�� 107 914 271 80 178 1 277 20 075 7 13 33 18 20 1862 Health care and social assistance 16 295�� 791 267 1 903 559 114 14 968 290 871 3 5 7 8 13 971 Arts, entertainment, and recreation 4 300�� 142 775 369 104 000 2 478 27 837 7 9 16 12 21 1672 Accommodation and food services 3 853�� 824 102 2 349 761 471 23 520 212 080 8 10 9 11 14 1281 Other services (except public administration)6 14 924�� 591 872 1 981 385 581 10 142 146 669 3 10 9 15 21 1899 Industries not classified 122�� 4 080 122 4 080 14 746 30 35 30 35 92 34

WYOMING

Total for all sectors 12 945�� 1 129 837 2 524 D j D 5 8 4 D D D11 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 99�� 805 S D a D 35 40 S D D D21 Mining 137�� 23 800 30 21 623 158 6 150 26 31 49 35 27 2322 Utilities 5�� D S D a D 29 D S D D D23 Construction 529�� 157 823 242 148 030 2 481 46 007 20 38 27 41 81 6231�33 Manufacturing 200�� 56 230 71 53 402 504 14 184 8 3 14 4 4 542 Wholesale trade 236�� 108 150 66 D e D 38 27 32 D D D44�45 Retail trade 2 173�� D 537 D g D 11 D 9 D D D48�49 Transportation and warehousing4 188�� 30 662 60 27 548 291 7 109 21 21 44 23 27 1751 Information 144�� 36 276 30 34 540 611 12 553 16 14 28 15 16 1352 Finance and insurance5 293�� 23 076 76 18 834 213 5 757 29 22 30 27 42 4453 Real estate and rental and leasing 1 139�� 82 261 141 34 971 414 8 512 15 16 37 21 30 3254 Professional, scientific, and technical services 1 524�� 63 714 282 42 607 485 14 512 15 10 16 12 8 1955 Management of companies and enterprises 3�� D 3 D a D – D – D D D56 Administrative and support and waste management

and remediation services 994�� 46 735 133 41 212 795 13 560 18 28 25 33 25 1461 Educational services 258�� D 23 D b D 24 D 41 D D D62 Health care and social assistance 2 015�� D 228 D f D 11 D 20 D D D71 Arts, entertainment, and recreation 478�� D 44 D c D 31 D 41 D D D72 Accommodation and food services 462�� 90 514 368 88 778 2 269 22 471 17 12 18 13 21 1081 Other services (except public administration)6 2 075�� 65 565 188 40 988 829 13 591 9 11 17 16 23 1599 Industries not classified 1�� D 1 D a D – D – D D D

1All firms data include both firms with paid employees and firms with no paid employees.2For explanation of relative standard errors, see Reliability of Estimates in the introductory text.3Data do not include crop and animal production (NAICS 111, 112).4Data do not include large certificated passenger carriers that report to the Office of Airline Information, U.S. Department of Transportation. Railroad transportation and U.S. Postal Service are out

of scope for the 2002 Economic Census.5Data do not include funds, trusts, and other financial vehicles (NAICS 525), except real estate investment trusts (NAICS 525930).6Data do not include religious, grantmaking, civic, professional, and similar organizations (NAICS 813) and private households (NAICS 814).

Note: To maintain confidentiality, the Census Bureau suppresses data to protect the identity of any business or individual. The census results in this table contain nonsampling errors. Datausers who create their own estimates using data from this table should cite the Census Bureau as the source of the original data only. For the full technical documentation, see Appendix C.

18 Women�Owned Firms Survey of Business OwnersU.S. Census Bureau, 2002 Economic Census

Table 3. Statistics by Kind of Business for Selected Metropolitan and Micropolitan StatisticalAreas With 100 or More Women�Owned Firms: 2002�Con.

[Includes firms with paid employees and firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates arebased on the 2002 Survey of Business Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, eachowner had the option of selecting more than one race and therefore is included in each race selected. This table is based on the 2002 North American Industry Classification System (NAICS). Formeaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For definition of metropolitan and micropolitan statistical areas, see Appendix E. For informationon confidentiality protection, sampling error, and definitions, see note at the end of the table]

2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


HILO, HI MICROPOLITAN STATISTICALAREA

Total for all sectors 4 219�� 486 909 650 406 230 4 255 92 005 9 16 16 17 17 1711 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 S�� D S S S S S D S S S S21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction 47�� 8 168 1 D b D 51 11 – D D D31�33 Manufacturing 140�� 22 318 15 19 292 183 5 253 24 17 48 15 33 1942 Wholesale trade 64�� 10 777 17 9 392 36 1 075 47 30 69 35 67 4344�45 Retail trade 623�� 200 312 104 185 026 1 061 19 580 20 21 28 23 27 2048�49 Transportation and warehousing4 36�� 7 119 16 D c D 29 37 59 D D D51 Information 40�� 823 1 D a D 26 20 – D D D52 Finance and insurance5 25�� 3 200 S S S S 44 11 S S S S53 Real estate and rental and leasing 302�� 15 260 71 11 426 109 1 852 38 35 46 42 27 3854 Professional, scientific, and technical services 585�� 19 323 S S S S 23 30 S S S S55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 399�� 29 642 42 27 696 687 14 331 33 30 57 32 21 3361 Educational services S�� D S D b D S D S D D D62 Health care and social assistance 607�� 56 437 S S S S 23 48 S S S S71 Arts, entertainment, and recreation 203�� 13 841 8 2 248 54 619 45 38 53 24 12 2072 Accommodation and food services 216�� 68 026 94 62 215 1 022 18 892 38 27 74 29 48 2681 Other services (except public administration)6 776�� 29 262 S S S S 24 48 S S S S99 Industries not classified 1�� D 1 D a D – D – D D D

HILTON HEAD ISLAND�BEAUFORT, SCMICROPOLITAN STATISTICAL AREA


services (NAICS 113�115)3 1�� D – – – – – D – – – –21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction 120�� 28 693 S S S S 34 24 S S S S31�33 Manufacturing 60�� 51 871 S S S S 82 25 S S S S42 Wholesale trade 52�� D 6 D b D 85 D 96 D D D44�45 Retail trade 519�� 130 566 108 121 772 654 14 856 26 34 15 35 26 4048�49 Transportation and warehousing4 45�� 3 591 S S S S 67 46 S S S S51 Information 13�� D 2 D e D 72 D – D D D52 Finance and insurance5 141�� 5 535 12 D b D 50 30 56 D D D53 Real estate and rental and leasing 514�� 50 581 83 24 800 221 4 329 28 26 35 24 39 1554 Professional, scientific, and technical services 360�� 24 819 S S S S 47 24 S S S S55 Management of companies and enterprises 1�� D 1 D b D – D – D D D56 Administrative and support and waste management

and remediation services 714�� 29 354 53 20 746 501 7 766 23 26 23 28 43 3661 Educational services S�� D S D a D S D S D D D62 Health care and social assistance 564�� 20 103 S S S S 24 24 S S S S71 Arts, entertainment, and recreation 169�� 4 176 S S S S 47 48 S S S S72 Accommodation and food services 134�� 25 840 S S S S 53 31 S S S S81 Other services (except public administration)6 613�� 29 180 68 14 940 371 5 992 24 30 45 45 56 5099 Industries not classified S�� D S D a D S D S D D D

HOBBS, NM MICROPOLITANSTATISTICAL AREA

Total for all sectors 839�� 128 117 210 121 101 1 897 34 002 15 11 13 12 14 911 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 S�� S S S S S S S S S S S21 Mining 26�� 4 866 S S S S 54 47 S S S S22 Utilities –�� – – – – – – – – – – –23 Construction S�� S S S S S S S S S S S31�33 Manufacturing S�� S S S S S S S S S S S42 Wholesale trade S�� S S S S S S S S S S S44�45 Retail trade 214�� 36 944 32 35 273 284 5 671 48 36 31 36 31 1948�49 Transportation and warehousing4 45�� 5 444 S S S S 83 8 S S S S51 Information S�� S S S S S S S S S S S52 Finance and insurance5 S�� S S S S S S S S S S S53 Real estate and rental and leasing 16�� 12 002 S S S S 58 6 S S S S54 Professional, scientific, and technical services 73�� 2 090 S S S S 83 36 S S S S55 Management of companies and enterprises 1�� D 1 D a D – D – D D D56 Administrative and support and waste management

and remediation services 66�� 10 430 S S S S 71 5 S S S S61 Educational services S�� S S S S S S S S S S S62 Health care and social assistance 125�� 17 654 S S S S 58 17 S S S S71 Arts, entertainment, and recreation S�� S S S S S S S S S S S72 Accommodation and food services 55�� 9 863 55 9 863 263 1 839 38 37 38 37 53 4781 Other services (except public administration)6 145�� 5 579 S S S S 55 18 S S S S99 Industries not classified –�� – – – – – – – – – – –

HOMOSASSA SPRINGS, FLMICROPOLITAN STATISTICAL AREA


services (NAICS 113�115)3 S�� S S S S S S S S S S S21 Mining 1�� D 1 D a D – D – D D D22 Utilities 1�� D – – – – – D – – – –23 Construction S�� D S S S S S D S S S S31�33 Manufacturing S�� S S S S S S S S S S S42 Wholesale trade S�� S S S S S S S S S S S44�45 Retail trade 398�� 31 373 S S S S 45 33 S S S S





2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


HOMOSASSA SPRINGS, FLMICROPOLITAN STATISTICAL AREA�Con.

Total for all sectors�Con.48�49 Transportation and warehousing4 S�� S S D a D S S S D D D51 Information S�� S S D a D S S S D D D52 Finance and insurance5 S�� S S S S S S S S S S S53 Real estate and rental and leasing 602�� 19 165 S S S S 30 48 S S S S54 Professional, scientific, and technical services S�� S S S S S S S S S S S55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 111�� 5 026 S S S S 73 24 S S S S61 Educational services S�� D S S S S S D S S S S62 Health care and social assistance 395�� 30 635 S S S S 40 46 S S S S71 Arts, entertainment, and recreation S�� S S D c D S S S D D D72 Accommodation and food services S�� S S S S S S S S S S S81 Other services (except public administration)6 S�� S S S S S S S S S S S99 Industries not classified –�� – – – – – – – – – – –

HONOLULU, HI METROPOLITANSTATISTICAL AREA


services (NAICS 113�115)3 9�� D S D b D 39 D S D D D21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction 330�� 192 230 123 189 432 1 061 37 762 30 35 27 36 41 2731�33 Manufacturing 621�� 100 451 115 91 400 1 015 22 997 12 12 15 12 15 1242 Wholesale trade 644�� 848 407 S S S S 15 13 S S S S44�45 Retail trade 3 144�� 708 926 594 652 170 4 906 85 592 10 7 9 8 10 1248�49 Transportation and warehousing4 156�� 46 538 S S S S 40 18 S S S S51 Information 200�� 20 794 28 14 197 213 6 384 18 11 68 13 19 1652 Finance and insurance5 321�� 49 875 75 36 316 339 16 241 21 33 22 43 31 3553 Real estate and rental and leasing 1 978�� 175 706 212 99 124 649 17 269 16 17 15 21 20 2854 Professional, scientific, and technical services 2 651�� 145 372 283 99 837 1 359 39 669 9 10 13 9 11 1255 Management of companies and enterprises 12�� D 12 D f D 8 D 8 D D D56 Administrative and support and waste management

and remediation services 1 407�� 176 986 208 147 559 4 799 70 954 15 21 23 22 36 3061 Educational services 371�� 16 834 S D e D 37 21 S D D D62 Health care and social assistance 2 076�� 172 897 271 109 541 1 876 44 379 14 26 25 25 18 2171 Arts, entertainment, and recreation 1 185�� 43 473 34 27 625 499 4 073 14 8 26 9 10 1072 Accommodation and food services 737�� 385 528 S S S S 15 15 S S S S81 Other services (except public administration)6 3 193�� 106 860 176 53 662 927 14 093 7 21 23 35 42 3499 Industries not classified 17�� D 17 D a D 31 D 31 D D D

HOOD RIVER, OR MICROPOLITANSTATISTICAL AREA

Total for all sectors S�� S S S S S S S S S S S11 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 –�� – – – – – – – – – – –21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction S�� D S S S S S D S S S S31�33 Manufacturing 26�� D S D b D 71 D S D D D42 Wholesale trade S�� S S S S S S S S S S S44�45 Retail trade S�� D S D e D S D S D D D48�49 Transportation and warehousing4 –�� – – – – – – – – – – –51 Information S�� D S D b D S D S D D D52 Finance and insurance5 –�� – – – – – – – – – – –53 Real estate and rental and leasing S�� D S S S S S D S S S S54 Professional, scientific, and technical services S�� S S S S S S S S S S S55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services S�� S S S S S S S S S S S61 Educational services S�� S S S S S S S S S S S62 Health care and social assistance S�� S S S S S S S S S S S71 Arts, entertainment, and recreation –�� – – – – – – – – – – –72 Accommodation and food services 2�� D 1 D b D – D – D D D81 Other services (except public administration)6 S�� S S S S S S S S S S S99 Industries not classified S�� D S D a D S D S D D D

HOPE, AR MICROPOLITAN STATISTICALAREA

Total for all sectors 582�� 43 658 63 36 886 273 4 342 33 21 23 24 21 1911 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 –�� – – – – – – – – – – –21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction S�� D S D a D S D S D D D31�33 Manufacturing 4�� D S D b D 45 D S D D D42 Wholesale trade –�� – – – – – – – – – – –44�45 Retail trade 58�� 20 557 39 20 342 142 2 199 38 45 39 46 41 4048�49 Transportation and warehousing4 S�� D S S S S S D S S S S51 Information 1�� D 1 D b D – D – D D D52 Finance and insurance5 –�� – – – – – – – – – – –53 Real estate and rental and leasing S�� D S S S S S D S S S S54 Professional, scientific, and technical services S�� D S D a D S D S D D D55 Management of companies and enterprises –�� – – – – – – – – – – –





2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


JUNEAU, AK MICROPOLITANSTATISTICAL AREA�Con.

Total for all sectors�Con.48�49 Transportation and warehousing4 24�� 2 458 S S S S 45 8 S S S S51 Information S�� D S D b D S D S D D D52 Finance and insurance5 S�� D S S S S S D S S S S53 Real estate and rental and leasing S�� D S D b D S D S D D D54 Professional, scientific, and technical services 97�� 5 108 S S S S 63 15 S S S S55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 27�� 2 154 S S S S 74 24 S S S S61 Educational services S�� S S S S S S S S S S S62 Health care and social assistance S�� S S D c D S S S D D D71 Arts, entertainment, and recreation S�� S S D a D S S S D D D72 Accommodation and food services S�� D S D c D S D S D D D81 Other services (except public administration)6 S�� D S D a D S D S D D D99 Industries not classified S�� D S D a D S D S D D D

KAHULUI�WAILUKU, HI MICROPOLITANSTATISTICAL AREA


services (NAICS 113�115)3 S�� D S S S S S D S S S S21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction 125�� 22 560 S D e D 28 38 S D D D31�33 Manufacturing 92�� 2 496 7 512 8 144 29 33 22 5 – –42 Wholesale trade S�� S S S S S S S S S S S44�45 Retail trade 718�� 198 122 108 186 740 1 092 20 250 24 9 23 9 13 1348�49 Transportation and warehousing4 42�� 21 902 22 21 715 319 6 895 29 36 58 36 53 3551 Information 60�� 2 887 10 1 627 14 225 16 19 93 24 66 4052 Finance and insurance5 S�� S S D b D S S S D D D53 Real estate and rental and leasing 511�� 29 764 44 13 751 94 1 816 25 33 57 46 63 7754 Professional, scientific, and technical services 631�� 61 467 S S S S 19 36 S S S S55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 538�� 21 852 48 14 079 799 5 183 44 25 47 29 8 2161 Educational services S�� D S D b D S D S D D D62 Health care and social assistance 322�� 6 785 10 2 608 104 1 472 39 25 68 4 – 371 Arts, entertainment, and recreation 338�� 13 946 S S S S 39 39 S S S S72 Accommodation and food services 202�� 109 596 S S S S 45 44 S S S S81 Other services (except public administration)6 768�� 26 560 62 15 995 222 4 821 23 22 33 33 30 2699 Industries not classified –�� – – – – – – – – – – –

KALAMAZOO�PORTAGE, MIMETROPOLITAN STATISTICAL AREA

Total for all sectors 6 709�� 706 322 1 009 606 410 8 639 152 611 15 11 13 10 9 811 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 S�� S S S S S S S S S S S21 Mining 1�� D – – – – – D – – – –22 Utilities S�� D S S S S S D S S S S23 Construction 179�� 55 249 S S S S 49 37 S S S S31�33 Manufacturing 70�� 106 635 S S S S 52 21 S S S S42 Wholesale trade 122�� 71 582 S S S S 48 27 S S S S44�45 Retail trade 1 196�� 164 975 186 150 884 1 069 15 430 32 28 22 29 18 2148�49 Transportation and warehousing4 78�� 6 786 15 2 828 41 1 124 38 28 94 5 1 251 Information S�� D S D b D S D S D D D52 Finance and insurance5 118�� 12 618 S S S S 65 47 S S S S53 Real estate and rental and leasing 404�� 22 024 35 5 112 63 1 200 32 34 30 31 47 3654 Professional, scientific, and technical services 618�� 57 062 S S S S 37 29 S S S S55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 430�� 34 930 45 27 481 698 16 633 33 34 18 40 38 4061 Educational services S�� S S D a D S S S D D D62 Health care and social assistance 1 971�� 84 204 191 62 294 1 997 30 050 14 29 23 35 32 4471 Arts, entertainment, and recreation S�� D S S S S S D S S S S72 Accommodation and food services 100�� 47 783 89 47 537 1 996 14 434 30 33 32 33 45 3881 Other services (except public administration)6 733�� 25 632 S S S S 28 32 S S S S99 Industries not classified S�� D S D a D S D S D D D

KALISPELL, MT MICROPOLITANSTATISTICAL AREA


services (NAICS 113�115)3 S�� S S S S S S S S S S S21 Mining –�� – – – – – – – – – – –22 Utilities 1�� D – – – – – D – – – –23 Construction 207�� 40 555 S S S S 40 32 S S S S31�33 Manufacturing 119�� 31 486 S S S S 42 2 S S S S42 Wholesale trade S�� D S D f D S D S D D D44�45 Retail trade 480�� 33 282 S S S S 44 21 S S S S48�49 Transportation and warehousing4 S�� S S D a D S S S D D D51 Information 36�� 173 – – – – 69 31 – – – –52 Finance and insurance5 110�� 10 508 S S S S 50 32 S S S S53 Real estate and rental and leasing 183�� 12 963 S S S S 34 42 S S S S54 Professional, scientific, and technical services 400�� 17 393 98 13 396 219 4 300 27 26 47 29 45 4955 Management of companies and enterprises 1�� D 1 D a D – D – D D D56 Administrative and support and waste management

and remediation services 341�� 20 952 48 16 954 447 10 320 49 26 52 31 20 18





2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


KALISPELL, MT MICROPOLITANSTATISTICAL AREA�Con.

Total for all sectors�Con.61 Educational services 44�� 1 730 S D a D 119 24 S D D D62 Health care and social assistance S�� D S S S S S D S S S S71 Arts, entertainment, and recreation 55�� 5 310 S S S S 72 33 S S S S72 Accommodation and food services 109�� 18 142 S S S S 34 30 S S S S81 Other services (except public administration)6 614�� 13 755 25 2 168 47 584 27 33 67 44 37 1499 Industries not classified –�� – – – – – – – – – – –

KAPAA, HI MICROPOLITAN STATISTICALAREA


services (NAICS 113�115)3 1�� D – – – – – D – – – –21 Mining 1�� D 1 D a D – D – D D D22 Utilities 1�� D – – – – – D – – – –23 Construction S�� S S S S S S S S S S S31�33 Manufacturing S�� S S S S S S S S S S S42 Wholesale trade 98�� 10 069 S S S S 56 41 S S S S44�45 Retail trade 295�� 193 775 130 187 596 1 409 34 866 22 25 26 26 28 3648�49 Transportation and warehousing4 6�� 4 674 4 D b D – – – D D D51 Information 9�� 8 344 3 D b D 51 – – D D D52 Finance and insurance5 S�� S S D b D S S S D D D53 Real estate and rental and leasing S�� S S S S S S S S S S S54 Professional, scientific, and technical services S�� S S S S S S S S S S S55 Management of companies and enterprises 1�� D 1 D a D – D – D D D56 Administrative and support and waste management

and remediation services S�� S S S S S S S S S S S61 Educational services S�� D S D a D S D S D D D62 Health care and social assistance S�� S S S S S S S S S S S71 Arts, entertainment, and recreation 66�� 4 698 S S S S 54 20 S S S S72 Accommodation and food services 70�� 16 438 S S S S 49 8 S S S S81 Other services (except public administration)6 421�� 14 808 S S S S 30 35 S S S S99 Industries not classified –�� – – – – – – – – – – –

KEARNEY, NE MICROPOLITANSTATISTICAL AREA


services (NAICS 113�115)3 S�� D S S S S S D S S S S21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction S�� D S S S S S D S S S S31�33 Manufacturing 2�� D 1 D e D – D – D D D42 Wholesale trade 17�� 18 870 17 18 870 266 5 996 93 47 93 47 97 9144�45 Retail trade 107�� 16 779 22 15 488 176 2 200 46 20 48 23 18 1448�49 Transportation and warehousing4 46�� 10 102 S S S S 71 45 S S S S51 Information S�� D S S S S S D S S S S52 Finance and insurance5 S�� D S D b D S D S D D D53 Real estate and rental and leasing S�� D S D a D S D S D D D54 Professional, scientific, and technical services S�� D S D b D S D S D D D55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 181�� 5 890 S S S S 50 17 S S S S61 Educational services S�� D S D b D S D S D D D62 Health care and social assistance 311�� 5 087 S S S S 38 32 S S S S71 Arts, entertainment, and recreation S�� D S D a D S D S D D D72 Accommodation and food services S�� D S D c D S D S D D D81 Other services (except public administration)6 S�� D S S S S S D S S S S99 Industries not classified –�� – – – – – – – – – – –

KEENE, NH MICROPOLITANSTATISTICAL AREA


services (NAICS 113�115)3 S�� D S S S S S D S S S S21 Mining 1�� D 1 D a D – D – D D D22 Utilities –�� – – – – – – – – – – –23 Construction –�� – – – – – – – – – – –31�33 Manufacturing 63�� 26 156 S S S S 52 1 S S S S42 Wholesale trade 37�� 5 419 S D a D 47 19 S D D D44�45 Retail trade 358�� 90 263 S S S S 28 28 S S S S48�49 Transportation and warehousing4 7�� 1 101 3 D a D 49 22 64 D D D51 Information –�� – – – – – – – – – – –52 Finance and insurance5 S�� S S S S S S S S S S S53 Real estate and rental and leasing S�� D S S S S S D S S S S54 Professional, scientific, and technical services 149�� 7 858 S S S S 50 37 S S S S55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 66�� 7 434 S S S S 55 39 S S S S61 Educational services S�� D S D a D S D S D D D62 Health care and social assistance S�� D S S S S S D S S S S71 Arts, entertainment, and recreation 28�� 348 S S S S 97 49 S S S S72 Accommodation and food services 58�� 16 557 S S S S 54 43 S S S S81 Other services (except public administration)6 S�� D S D b D S D S D D D99 Industries not classified –�� – – – – – – – – – – –





2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


YUMA, AZ METROPOLITAN STATISTICALAREA�Con.

Total for all sectors�Con.48�49 Transportation and warehousing4 S�� D S D a D S D S D D D51 Information –�� – – – – – – – – – – –52 Finance and insurance5 35�� 2 965 S S S S 59 34 S S S S53 Real estate and rental and leasing S�� S S D b D S S S D D D54 Professional, scientific, and technical services S�� S S D b D S S S D D D55 Management of companies and enterprises –�� – – – – – – – – – – –56 Administrative and support and waste management

and remediation services 155�� 15 143 S S S S 42 5 S S S S61 Educational services S�� S S D c D S S S D D D62 Health care and social assistance 503�� 16 074 S S S S 39 41 S S S S71 Arts, entertainment, and recreation 6�� D S D b D 91 D S D D D72 Accommodation and food services 52�� 3 746 S D b D 44 17 S D D D81 Other services (except public administration)6 S�� S S D b D S S S D D D99 Industries not classified –�� – – – – – – – – – – –

ZANESVILLE, OH MICROPOLITANSTATISTICAL AREA

Total for all sectors 1 683�� 723 912 S S S S 25 3 S S S S11 Forestry, fishing & hunting, and agricultural support

services (NAICS 113�115)3 S�� D S S S S S D S S S S21 Mining –�� – – – – – – – – – – –22 Utilities –�� – – – – – – – – – – –23 Construction 17�� 30 915 17 30 915 240 5 470 45 5 45 5 7 631�33 Manufacturing 7�� D 7 D h D 64 D 64 D D D42 Wholesale trade S�� D S D c D S D S D D D44�45 Retail trade 229�� 79 671 S S S S 64 13 S S S S48�49 Transportation and warehousing4 S�� S S S S S S S S S S S51 Information 1�� D 1 D b D – D – D D D52 Finance and insurance5 S�� S S S S S S S S S S S53 Real estate and rental and leasing S�� S S D b D S S S D D D54 Professional, scientific, and technical services 20�� 2 459 S S S S 65 35 S S S S55 Management of companies and enterprises 1�� D 1 D c D – D – D D D56 Administrative and support and waste management

and remediation services 278�� 12 058 S S S S 44 22 S S S S61 Educational services S�� S S S S S S S S S S S62 Health care and social assistance S�� S S S S S S S S S S S71 Arts, entertainment, and recreation 31�� D S D b D 120 D S D D D72 Accommodation and food services 40�� 10 138 S S S S 30 23 S S S S81 Other services (except public administration)6 290�� 6 159 S S S S 42 38 S S S S99 Industries not classified –�� – – – – – – – – – – –


of scope for the 2002 Economic Census.5Data do not include funds, trusts, and other financial vehicles (NAICS 525), except real estate investment trusts (NAICS 525930).6Data do not include religious, grantmaking, civic, professional, and similar organizations (NAICS 813) and private households (NAICS 814).



Table 4. Statistics for Selected Counties With 100 or More Women�Owned Firms: 2002�Con.[Includes firms with paid employees and firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates arebased on the 2002 Survey of Business Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, eachowner had the option of selecting more than one race and therefore is included in each race selected. For explanation of terms, see Appendix A. For information on geographic areas, see Appendix D.For information on confidentiality protection, sampling error and definitions, see note at the end of the table]

Geographic area



Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


Georgia�Con.

Jeff Davis S�� S S S S S S S S S S SJefferson 234�� 32 647 S S S S 37 43 S S S SJenkins 342�� 21 148 S S S S 48 37 S S S SJones 430�� 24 840 S S S S 26 19 S S S SLaurens 1 156�� 89 148 S S S S 24 25 S S S SLee S�� S S S S S S S S S S SLiberty 898�� 86 492 171 79 483 1 244 18 757 25 17 41 18 33 23Lowndes 1 582�� 184 745 S S S S 27 20 S S S SLumpkin 583�� 35 996 S S S S 41 29 S S S SMcDuffie S�� S S S S S S S S S S S

McIntosh S�� S S S S S S S S S S SMacon S�� S S S S S S S S S S SMadison 752�� 27 281 65 16 523 304 3 558 31 35 35 48 65 50Marion 189�� 16 619 S S S S 51 12 S S S SMeriwether S�� S S S S S S S S S S SMiller 158�� 11 363 S S S S 116 39 S S S SMitchell S�� S S S S S S S S S S SMonroe 390�� 27 724 S S S S 47 49 S S S SMontgomery 200�� 6 522 S S S S 43 49 S S S SMorgan 351�� 31 970 S S S S 43 21 S S S S

Murray 271�� 35 803 S S S S 40 15 S S S SMuscogee 3 266�� 343 223 548 282 941 2 821 55 831 9 17 13 18 16 20Newton 1 631�� 195 759 182 167 011 1 347 26 109 26 16 21 16 21 23Oconee S�� S S S S S S S S S S SOglethorpe 126�� 3 752 S S S S 49 26 S S S SPaulding 1 948�� 112 847 S S S S 14 41 S S S SPeach 341�� 15 304 S S S S 48 39 S S S SPickens 574�� 75 092 S S S S 27 27 S S S SPierce 274�� 11 915 S S S S 48 43 S S S SPike S�� S S S S S S S S S S S

Polk 523�� 52 623 S S S S 36 29 S S S SPulaski 295�� 8 420 S S S S 42 46 S S S SPutnam 455�� 48 013 S S S S 38 42 S S S SRabun 402�� 18 057 29 10 499 83 1 942 24 32 37 45 46 45Richmond 3 258�� 364 798 532 320 699 4 652 91 464 15 10 14 10 8 11Rockdale 1 973�� 238 603 286 211 272 2 355 54 695 15 22 20 25 24 21Schley S�� S S D a D S S S D D DScreven 107�� 10 776 S S S S 62 43 S S S SSeminole 290�� 3 560 S S S S 45 38 S S S SSpalding S�� S S S S S S S S S S S

Stephens 323�� 39 613 26 35 436 598 9 625 41 14 36 16 21 25Sumter 325�� 51 262 S D f D 48 14 S D D DTattnall 524�� 46 474 32 42 356 417 9 287 34 6 28 5 7 5Telfair 160�� 14 650 S S S S 75 19 S S S STerrell 124�� 8 143 S S S S 70 44 S S S SThomas 520�� 165 156 S S S S 37 22 S S S STift 780�� 121 876 170 109 237 1 219 27 024 19 34 26 37 34 38Toombs 421�� 121 073 106 116 857 949 17 545 22 32 24 32 34 38Towns 280�� 21 176 S S S S 40 36 S S S STreutlen S�� S S S S S S S S S S S

Troup 917�� 119 582 S S S S 21 39 S S S STurner 275�� 13 970 S S S S 49 44 S S S SUnion 704�� 45 230 S S S S 23 30 S S S SUpson S�� S S S S S S S S S S SWalker 1 496�� 52 209 148 35 344 437 6 528 15 32 32 44 42 40Walton 1 391�� 234 313 S S S S 21 13 S S S SWare 672�� 48 660 S S S S 32 20 S S S SWayne 522�� 53 743 S S S S 34 36 S S S SWhite 474�� 35 254 96 28 765 376 7 996 41 29 30 36 35 41Whitfield 1 420�� 588 954 269 562 007 2 675 71 929 23 13 22 13 21 16Wilcox S�� S S S S S S S S S S SWilkes 178�� 81 094 S S S S 73 6 S S S SWilkinson S�� S S S S S S S S S S SWorth S�� S S S S S S S S S S S

Hawaii 29 897�� 4 562 205 4 544 3 913 035 38 569 810 868 3 6 4 6 8 7

Hawaii 4 219�� 486 909 650 406 230 4 255 92 005 9 16 16 17 17 17Honolulu 19 026�� 3 204 648 2 981 2 766 912 26 171 546 110 3 5 5 6 10 7Kauai 2 001�� 327 978 394 287 560 2 892 69 363 14 14 15 18 18 24Maui 4 713�� 542 670 580 452 332 5 251 103 391 12 12 15 13 16 22

Idaho 28 824�� 3 216 407 4 541 2 746 341 26 633 535 586 3 6 4 7 4 5

Ada 8 209�� 1 233 958 1 370 1 093 097 9 585 216 812 6 13 6 15 7 6Adams S�� S S D a D S S S D D DBannock S�� S S S S S S S S S S SBear Lake S�� S S D a D S S S D D DBenewah S�� S S S S S S S S S S SBingham 713�� 131 241 135 123 740 1 357 20 383 23 8 33 9 21 14Blaine 837�� 157 935 S S S S 19 45 S S S SBoise 176�� 6 181 S S S S 60 40 S S S SBonner 1 011�� 92 787 193 73 584 865 14 866 25 9 36 10 23 13Bonneville 1 911�� 184 053 325 157 246 1 755 39 109 15 19 23 22 19 16

Boundary 185�� 4 915 S S S S 40 42 S S S SCanyon 2 496�� 157 342 215 122 095 1 186 24 588 11 12 22 15 28 21Caribou 183�� 13 416 S S S S 54 37 S S S SCassia 352�� 24 724 48 18 264 370 4 167 32 21 61 29 70 34Elmore 398�� 18 881 52 14 298 186 3 108 36 12 24 15 31 18Franklin 292�� 15 718 19 13 978 122 2 007 33 5 52 4 10 9Fremont 204�� 3 941 1 D a D 37 29 – D D DGem 211�� 13 116 S S S S 49 39 S S S S



Table 4. Statistics for Selected Counties With 100 or More Women�Owned Firms: 2002�Con.[Includes firms with paid employees and firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates arebased on the 2002 Survey of Business Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, eachowner had the option of selecting more than one race and therefore is included in each race selected. For explanation of terms, see Appendix A. For information on geographic areas, see Appendix D.For information on confidentiality protection, sampling error and definitions, see note at the end of the table]

Geographic area



Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


Wyoming 12 945�� 1 129 837 2 524 D j D 5 8 4 D D D

Albany 978�� 39 124 171 30 296 513 9 845 29 15 24 16 27 22Big Horn 326�� 17 093 S S S S 36 27 S S S SCampbell S�� S S D g D S S S D D DCarbon 254�� 18 095 91 14 629 216 3 948 27 27 28 35 35 24Converse 415�� 29 885 54 26 304 285 5 192 33 13 30 15 27 15Fremont 785�� 46 307 137 33 376 611 8 827 16 21 31 30 38 25Goshen 350�� 17 199 S S S S 24 42 S S S SJohnson 158�� 8 513 26 5 059 41 898 46 27 52 38 44 16Laramie 2 133�� 137 644 286 115 351 1 499 32 435 10 16 18 18 13 10Lincoln 263�� 23 038 S S S S 35 15 S S S S

Natrona 1 594�� 177 540 370 150 769 1 852 38 278 18 8 18 8 9 7Park 921�� 57 250 185 45 574 688 10 323 22 15 21 19 22 15Platte 109�� 7 004 35 5 911 124 1 616 51 20 30 19 36 23Sheridan 911�� 56 998 145 47 656 464 9 928 22 17 23 21 30 28Sublette 303�� 8 933 S S S S 68 41 S S S SSweetwater 785�� 87 065 S S S S 23 24 S S S STeton 776�� 145 549 272 120 285 1 040 24 471 20 25 28 30 25 25Uinta 444�� 51 013 118 45 801 485 10 520 24 22 38 23 22 38Washakie 244�� 29 421 S S S S 45 42 S S S SWeston 178�� 3 900 S S S S 51 39 S S S S

1All firms data include both firms with paid employees and firms with no paid employees.2For explanation of relative standard errors, see Reliability of Estimates in the introductory text.



Table 5. Statistics for Selected Places With 100 or More Women�Owned Firms: 2002�Con.[Includes firms with paid employees and firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates arebased on the 2002 Survey of Business Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, eachowner had the option of selecting more than one race and therefore is included in each race selected. For explanation of terms, see Appendix A. For information on geographic areas, see Appendix D.For information on confidentiality protection, sampling error and definitions, see note at the end of the table]

Geographic area



Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


Georgia�Con.

Hartwell 138�� 8 944 S S S S 55 35 S S S SHawkinsville 295�� 8 420 S S S S 42 46 S S S SHazlehurst S�� S S S S S S S S S S SHinesville 521�� 76 228 140 71 460 1 057 16 329 43 14 46 14 30 23Holly Springs S�� S S S S S S S S S S SJackson 241�� 51 912 S S S S 53 15 S S S SJefferson 135�� 17 920 S S S S 55 27 S S S SJesup 244�� 24 737 S S S S 58 45 S S S SJonesboro S�� S S S S S S S S S S SKennesaw 548�� 112 741 120 105 992 701 19 258 34 22 24 24 27 20

Kingsland 273�� 6 556 S S S S 45 47 S S S SLa Fayette 134�� 11 849 S S S S 45 39 S S S SLaGrange S�� S S S S S S S S S S SLawrenceville 1 870�� 180 991 235 130 642 869 31 263 14 17 19 26 18 19Lilburn 505�� 87 668 85 78 520 507 24 399 20 35 30 39 30 63Loganville S�� S S S S S S S S S S SLyons S�� S S S S S S S S S S SMcDonough 712�� 64 387 82 54 847 701 11 972 30 14 32 18 22 23Macon 2 282�� 230 788 362 187 507 1 891 37 053 20 12 13 13 21 21McRae S�� S S S S S S S S S S S

Madison 149�� 22 288 S S S S 51 25 S S S SManchester S�� S S S S S S S S S S SMarietta 1 982�� 674 727 487 631 578 4 602 122 999 14 6 17 6 15 11Metter 205�� D S D b D 56 D S D D DMilledgeville S�� S S S S S S S S S S SMillen S�� S S S S S S S S S S SMonroe 471�� 15 956 S S S S 26 37 S S S SMorrow 226�� 46 429 S S S S 69 25 S S S SMoultrie 134�� 42 741 S S S S 34 44 S S S SNashville S�� S S S S S S S S S S S

Newnan 443�� 37 332 S S S S 21 22 S S S SNorcross 903�� 506 952 188 472 035 2 255 79 893 23 9 14 9 35 25Peachtree City 928�� 210 558 125 190 193 1 054 35 032 23 12 23 14 16 16Perry 208�� 73 442 S S S S 47 33 S S S SPooler 163�� 3 271 S S S S 50 45 S S S SPowder Springs 632�� 25 913 S S S S 31 25 S S S SQuitman 168�� 3 352 S S S S 46 33 S S S SRichmond Hill 268�� 30 131 S S S S 44 35 S S S SRincon 126�� 6 818 S S S S 59 49 S S S SRiverdale 598�� 64 192 58 57 047 585 13 859 25 36 22 38 24 25

Rockmart S�� S S D b D S S S D D DRome 860�� 120 968 S S S S 29 16 S S S SRossville S�� S S S S S S S S S S SRoswell 3 352�� 415 843 600 336 567 3 515 90 939 10 8 15 8 9 15St. Marys 266�� 36 947 S S S S 37 41 S S S SSavannah 2 823�� 481 022 632 420 438 6 313 121 321 12 7 12 7 11 7Smyrna 1 942�� 309 144 217 259 588 2 582 68 695 14 11 12 11 12 15Snellville 677�� 55 980 82 46 758 395 11 409 33 28 25 33 33 56Soperton S�� S S S S S S S S S S SStatesboro 419�� 85 371 120 76 644 1 268 14 189 31 14 24 14 17 11

Stockbridge 573�� 48 905 92 36 726 256 5 754 23 22 20 18 42 23Stone Mountain 469�� 12 144 S S S S 27 38 S S S SSugar Hill 325�� 38 465 S S S S 50 34 S S S SSummerville S�� S S S S S S S S S S SSuwanee 344�� 42 859 95 38 026 408 7 240 25 18 27 21 31 27Swainsboro 198�� 19 558 S S S S 57 21 S S S SSylvania S�� S S S S S S S S S S SThomasville 262�� 134 828 S S S S 48 17 S S S STifton 437�� 68 579 S S S S 22 13 S S S STybee Island 193�� 24 758 S S S S 44 43 S S S S

Tyrone S�� S S S S S S S S S S SUnion City 386�� 9 503 22 6 117 69 1 086 44 25 27 43 33 32Valdosta 1 084�� 130 946 S S S S 41 27 S S S SVidalia 234�� 85 826 S S S S 32 27 S S S SVilla Rica S�� S S S S S S S S S S SWarner Robins 782�� 96 222 S S S S 27 22 S S S SWashington 138�� D S D b D 92 D S D D DWaycross 382�� 38 617 S S S S 48 22 S S S SWinder 368�� 18 569 S S S S 27 34 S S S SWoodstock 452�� 43 185 88 35 558 379 9 414 40 20 29 25 34 25

Hawaii 29 897�� 4 562 205 4 544 3 913 035 38 569 810 868 3 6 4 6 8 7

Ahuimanu CDP S�� S S D b D S S S D D DAiea CDP 152�� 33 899 63 33 268 517 5 493 40 35 50 36 50 43Haiku�Pauwela CDP S�� S S D a D S S S D D DHalawa CDP 254�� 42 972 S S S S 50 40 S S S SHeeia CDP S�� S S S S S S S S S S SHilo CDP 798�� 142 902 216 129 832 1 787 35 090 22 23 41 24 35 26Holualoa CDP 242�� 15 369 19 10 841 99 2 067 37 23 55 30 47 53Honolulu CDP 10 880�� 2 427 398 2 187 2 159 353 19 716 434 323 5 5 7 6 10 7Kahului CDP 522�� 68 012 S S S S 37 17 S S S SKailua CDP (Hawaii County) 676�� 114 775 201 95 791 767 23 431 22 24 34 27 33 43

Kailua CDP (Honolulu County) 1 395�� 111 626 196 84 927 1 226 20 763 13 18 30 20 33 22Kalaheo CDP 241�� 10 833 S S S S 53 49 S S S SKalaoa CDP 206�� 11 061 S S S S 41 45 S S S SKaneohe CDP 762�� 67 545 100 54 846 881 13 570 24 27 57 31 32 47Kapaa CDP S�� S S S S S S S S S S SKihei CDP 771�� 65 924 134 50 372 501 10 269 19 22 26 30 39 45Lahaina CDP 371�� 86 182 70 76 210 719 15 452 28 33 51 39 49 53Lihue CDP 356�� 102 458 S S S S 33 28 S S S S




Geographic area



Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


Hawaii�Con.

Makakilo City CDP 219�� 2 708 S S S S 35 23 S S S SMakawao CDP 251�� 7 947 S S S S 39 30 S S S SMaunawili CDP S�� S S S S S S S S S S SMililani Town CDP 434�� 25 543 S S S S 29 45 S S S SNapili�Honokowai CDP S�� S S D b D S S S D D DPearl City CDP 309�� 28 108 S S S S 46 14 S S S SPukalani CDP S�� S S S S S S S S S S SPupukea CDP 103�� 13 893 S D b D 83 14 S D D DWahiawa CDP 306�� 40 925 S S S S 36 28 S S S SWaianae CDP 222�� 22 915 S S S S 39 30 S S S S

Waikoloa Village CDP 161�� 7 035 10 3 738 47 621 41 15 80 19 16 26Wailea�Makena CDP 205�� 46 305 28 41 945 562 14 096 50 7 63 6 9 6Wailua Homesteads CDP S�� S S S S S S S S S S SWailuku CDP 425�� 90 720 175 86 918 1 008 18 292 33 22 35 23 38 36Waimalu CDP 478�� 42 156 S S S S 29 30 S S S SWaimanalo Beach CDP S�� S S S S S S S S S S SWaipahu CDP S�� S S S S S S S S S S SWaipio CDP 338�� 26 616 S S S S 36 28 S S S S

Idaho 28 824�� 3 216 407 4 541 2 746 341 26 633 535 586 3 6 4 7 4 5

Ammon S�� S S S S S S S S S S SBlackfoot 202�� 37 394 88 34 819 570 8 496 38 22 39 24 47 33Boise City 5 252�� 925 417 969 833 916 7 401 171 067 10 18 10 20 8 8Bonners Ferry S�� S S S S S S S S S S SBuhl S�� S S S S S S S S S S SBurley 169�� 15 025 S S S S 49 33 S S S SCaldwell 459�� 30 935 S S S S 25 39 S S S SChubbuck 366�� 11 433 S S S S 43 48 S S S SCoeur d’Alene 1 032�� 125 480 174 118 674 1 110 24 740 25 10 23 9 14 26Eagle 305�� 13 036 S S S S 25 34 S S S S

Garden City 203�� 28 752 53 22 915 237 5 815 38 15 34 19 24 26Grangeville 223�� 11 949 S D c D 55 28 S D D DHailey 378�� 18 835 S S S S 32 46 S S S SHayden 359�� 20 688 88 14 844 343 3 268 42 20 44 20 34 39Idaho Falls 1 318�� 121 132 256 100 098 1 189 26 615 23 26 30 30 27 24Jerome 139�� 8 276 S D b D 47 22 S D D DKetchum S�� S S S S S S S S S S SKuna 290�� 4 321 S S S S 34 33 S S S SLewiston S�� S S S S S S S S S S SMeridian 1 140�� 168 653 157 150 055 1 207 23 120 20 23 28 26 28 25

Moscow 297�� 18 516 46 16 228 251 5 903 42 20 29 23 19 29Mountain Home 245�� 12 059 30 9 006 134 2 381 38 16 32 21 43 23Nampa 1 311�� 77 034 120 60 149 766 14 721 17 17 35 20 43 30Payette S�� S S D e D S S S D D DPocatello S�� S S S S S S S S S S SPost Falls 264�� 19 933 71 15 944 257 4 930 26 31 33 41 53 49Preston 192�� 14 625 12 13 585 122 1 858 48 4 63 4 10 3Rigby 104�� 6 928 S S S S 57 49 S S S SRupert S�� S S S S S S S S S S SSt. Anthony S�� D S S S S S D S S S SSalmon 132�� 4 670 S S S S 46 42 S S S SSandpoint 256�� 31 991 S S S S 26 20 S S S STwin Falls 792�� 116 708 177 102 776 1 180 21 360 43 19 30 18 15 11Weiser S�� S S S S S S S S S S S

Illinois 284 950�� 46 860 478 40 392 41 372 947 351 372 9 532 470 1 3 2 3 5 5

Addison 543�� 288 726 181 275 544 1 164 61 219 26 9 30 9 18 19Aledo S�� S S S S S S S S S S SAlgonquin 574�� 24 660 74 19 274 260 6 459 35 41 23 47 42 39Alsip 520�� 1 702 039 S S S S 36 5 S S S SAlton 669�� 100 834 S S S S 49 17 S S S SAnna 137�� 17 022 S S S S 50 12 S S S SAntioch 257�� 20 732 S S S S 49 43 S S S SArcola 113�� 61 073 10 D e D 73 3 62 D D DArlington Heights 1 946�� 169 726 288 113 099 1 257 34 037 17 16 15 13 17 12Aurora 2 270�� 288 312 435 256 687 3 856 87 689 16 11 19 13 15 13

Barrington 696�� 212 325 194 196 507 1 406 51 248 23 21 24 23 45 49Bartlett 1 175�� 68 821 S S S S 23 27 S S S SBartonville 234�� 16 628 S S S S 62 26 S S S SBatavia 805�� 80 073 S S S S 31 31 S S S SBeach Park 340�� 3 420 8 870 32 281 38 34 102 42 102 41Beardstown S�� S S S S S S S S S S SBelleville 942�� 122 780 226 115 143 5 200 50 688 25 37 34 38 89 61Bellwood 509�� 33 853 13 29 835 223 6 992 23 12 52 12 45 21Belvidere 688�� 50 407 72 37 733 587 12 870 28 16 52 15 21 26Bensenville 214�� 153 571 S S S S 28 48 S S S S

Benton 123�� 15 940 S S S S 52 22 S S S SBerkeley S�� D S D b D S D S D D DBerwyn 939�� 89 379 168 80 338 1 244 29 787 17 36 30 40 38 41Bethalto S�� D S D c D S D S D D DBloomingdale 571�� 72 141 S S S S 34 37 S S S SBloomington 1 600�� 208 308 211 187 966 1 615 45 352 26 10 17 11 13 15Blue Island 210�� 88 282 21 85 941 787 20 359 41 7 68 8 15 5Bolingbrook 1 044�� 1 469 224 S S S S 26 3 S S S SBourbonnais S�� S S S S S S S S S S SBradley 318�� 54 538 S S S S 51 20 S S S S




Geographic area



Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


Wisconsin�Con.

New Richmond S�� S S S S S S S S S S SOak Creek 645�� 84 818 S S S S 23 35 S S S SOconomowoc S�� S S S S S S S S S S SOconto S�� S S S S S S S S S S SOnalaska 298�� 11 422 S S S S 37 39 S S S SOregon 322�� 7 320 S S S S 35 34 S S S SOshkosh S�� S S S S S S S S S S SPark Falls S�� S S S S S S S S S S SPewaukee city 374�� 85 361 S S S S 54 8 S S S SPewaukee village 222�� 40 332 S S S S 37 23 S S S S

Platteville S�� S S D e D S S S D D DPleasant Prairie 306�� 44 815 S S S S 38 8 S S S SPlover 402�� 15 270 S S S S 47 32 S S S SPortage S�� S S S S S S S S S S SPort Washington S�� S S S S S S S S S S SPrairie du Sac 192�� 28 225 S D b D 50 6 S D D DRacine 803�� 121 155 269 111 878 2 067 38 623 22 18 21 19 17 16Reedsburg S�� S S D a D S S S D D DRhinelander 104�� 24 604 S S S S 51 37 S S S SRice Lake 393�� 33 453 62 30 254 270 5 317 33 30 56 31 54 50

Richfield 283�� 14 676 S S S S 52 37 S S S SRichland Center S�� S S D b D S S S D D DRiver Falls 307�� 8 895 S S S S 56 35 S S S SRothschild S�� S S S S S S S S S S SSt. Francis 242�� 20 981 S S S S 38 23 S S S SSauk City 160�� 22 458 S S S S 54 19 S S S SSaukville S�� S S S S S S S S S S SShawano 158�� 13 461 S S S S 39 32 S S S SSheboygan 669�� 324 769 168 319 615 2 329 57 123 25 2 42 2 13 7Shorewood 491�� 29 713 S S S S 41 32 S S S S

Slinger S�� S S S S S S S S S S SSouth Milwaukee 264�� 21 169 S S S S 47 10 S S S SSparta S�� S S S S S S S S S S SStevens Point 465�� 41 509 100 36 430 453 13 173 48 21 21 23 14 17Stoughton S�� S S S S S S S S S S SSturgeon Bay S�� S S S S S S S S S S SSun Prairie 802�� 75 449 37 58 910 650 14 364 29 11 79 5 36 5Superior 435�� 78 136 S S S S 31 24 S S S SSussex 203�� 26 648 51 24 506 227 2 685 32 38 74 42 67 35Tomah 246�� 41 597 S S S S 43 22 S S S S

Two Rivers 386�� 46 666 S S S S 38 12 S S S SVerona 144�� 19 500 S S S S 49 42 S S S SViroqua 165�� 7 514 S S S S 46 44 S S S SWaterloo 112�� 7 875 S D b D 109 42 S D D DWatertown 653�� 32 851 52 22 673 196 4 126 34 15 43 13 34 23Waukesha 1 425�� 625 989 158 605 990 2 415 90 153 22 13 25 14 19 18Waunakee 186�� 4 718 S D a D 45 47 S D D DWaupaca S�� S S S S S S S S S S SWaupun S�� S S S S S S S S S S SWausau 578�� 54 572 S S S S 34 30 S S S S

Wauwatosa 829�� 195 443 165 180 853 2 133 57 976 16 13 25 12 8 10West Allis 1 574�� 331 673 283 304 482 3 846 63 982 14 12 31 12 37 21West Bend S�� S S S S S S S S S S SWeston 371�� 22 418 S S S S 41 27 S S S SWhitefish Bay 475�� 24 161 S S S S 54 29 S S S SWhitewater S�� S S S S S S S S S S SWisconsin Rapids 137�� 25 954 14 23 122 231 3 943 32 11 40 12 65 24

Wyoming 12 945�� 1 129 837 2 524 D j D 5 8 4 D D D

Casper 1 144�� 114 978 270 94 327 1 286 24 705 22 10 19 10 10 9Cheyenne 1 298�� 115 962 246 102 308 1 345 29 129 14 14 21 15 14 11Cody 560�� 31 974 114 24 761 467 6 021 35 17 29 19 27 21Douglas 191�� 16 590 S S S S 54 8 S S S SEvanston 279�� 37 092 93 33 266 364 8 262 23 27 35 31 30 48Gillette S�� S S D g D S S S D D DGreen River S�� S S S S S S S S S S SJackson 547�� 111 091 230 92 923 904 20 208 17 20 30 23 25 22Lander S�� S S S S S S S S S S SLaramie 798�� 32 195 127 25 695 500 8 861 26 15 27 14 27 21

Mills 100�� 10 398 S S S S 53 25 S S S SNewcastle S�� S S S S S S S S S S SPowell 118�� 8 872 25 7 226 93 1 570 37 20 35 25 34 32Rawlins 190�� 10 594 S S S S 37 24 S S S SRiverton 203�� 9 791 37 6 071 82 1 304 31 23 34 32 31 24Rock Springs 422�� 42 689 S S S S 27 44 S S S SSheridan 544�� 44 929 83 37 346 314 7 104 21 23 35 28 30 34Torrington 284�� 13 733 S S S S 30 47 S S S SWorland S�� S S S S S S S S S S S

1All firms data include both firms with paid employees and firms with no paid employees.2For explanation of relative standard errors, see Reliability of Estimates in the introductory text.



Table 9. Statistics for Women�Owned Firms With No Paid Employees by State: 2002[Includes firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates are based on the 2002 Survey ofBusiness Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, each owner had the option of selectingmore than one race and therefore is included in each race selected. For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For information onconfidentiality protection, sampling error, and definitions, see note at the end of the table]

Geographic area

Relative standard error ofestimate (percent)1 for

column�Firms

(number)


A B A B

United States 5 572 715�� 136 677 702 – 1

Alabama 70 018�� 1 497 887 2 5Alaska 13 374�� 331 077 4 13Arizona 94 042�� 2 427 416 2 3Arkansas 42 158�� 792 878 3 6California 754 877�� 23 634 795 – 2Colorado 113 729�� 2 688 639 1 3Connecticut 71 074�� 2 124 052 2 7Delaware 12 433�� 368 243 4 5District of Columbia 13 253�� D 6 DFlorida 372 260�� 10 108 416 1 4

Georgia 169 190�� 4 263 922 1 4Hawaii 25 353�� 649 171 4 6Idaho 24 283�� 470 066 3 9Illinois 244 558�� 5 487 531 1 3Indiana 102 640�� 2 030 874 1 4Iowa 55 071�� 869 724 2 4Kansas 50 357�� 928 803 2 6Kentucky 66 844�� 1 337 552 2 5Louisiana 74 688�� 1 622 595 2 6Maine 27 502�� 571 316 4 12

Maryland 119 462�� 2 951 645 1 4Massachusetts 139 288�� 3 860 426 1 4Michigan 188 675�� 3 826 782 2 3Minnesota 107 169�� 2 108 929 2 4Mississippi 39 954�� 980 040 3 10Missouri 101 228�� 2 015 175 2 4Montana 19 884�� 384 113 4 7Nebraska 32 664�� 482 463 3 5Nevada 41 198�� 1 387 919 3 6New Hampshire 26 007�� 618 084 4 6

New Jersey 154 355�� 4 443 285 1 3New Mexico 35 856�� 715 280 2 9New York 439 857�� 11 606 057 1 3North Carolina 148 378�� 3 222 528 1 3North Dakota 11 228�� 195 640 5 14Ohio 199 518�� 4 177 513 1 2Oklahoma 64 259�� 1 255 197 2 3Oregon 74 755�� 1 725 286 2 5Pennsylvania 192 494�� 4 260 457 2 3Rhode Island 19 626�� 506 710 6 8

South Carolina 65 112�� 1 460 068 1 6South Dakota 12 829�� 202 945 5 8Tennessee 103 727�� 2 419 761 1 4Texas 405 392�� 10 250 037 1 2Utah 42 232�� 812 434 2 4Vermont 16 511�� 312 292 4 5Virginia 133 469�� 3 064 131 1 3Washington 115 420�� 2 561 317 2 5West Virginia 26 758�� 460 678 3 7Wisconsin 87 287�� 1 647 168 1 4Wyoming 10 422�� D 6 D

1For explanation of relative standard errors, see Reliability of Estimates in the introductory text.



Table 12. Statistics for All U.S. Firms by State, Kind of Business, and Gender: 2002�Con.[Includes firms with paid employees and firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates arebased on the 2002 Survey of Business Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, eachowner had the option of selecting more than one race and therefore is included in each race selected. This table is based on the 2002 North American Industry Classification System (NAICS). Formeaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For information on confidentiality protection, sampling error, and definitions, see note at the endof the table]

2002NAICScode

Geographic area, kind of business,and gender



Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


HAWAII

Total for all sectors

All firms 99 224�� 66 500 138 23 517 63 454 894 425 043 12 502 639 – – – – – –Female�owned 29 897�� 4 562 205 4 544 3 913 035 38 569 810 868 3 6 4 6 8 7Male�owned 51 035�� 22 136 639 12 996 20 208 040 150 889 4 437 047 2 2 2 2 2 2Equally male�/female�owned 13 864�� 3 616 206 3 404 3 056 253 33 981 704 245 6 4 6 4 11 7Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 2 911�� 36 033 052 2 532 36 008 569 202 388 6 602 653 7 1 6 1 2 1

11 Forestry, fishing & hunting,and agricultural supportservices (NAICS 113�115)

All firms3 1 745�� 76 103 52 D e D – – – D D DFemale�owned3 141�� 4 610 S D b D 75 28 S D D DMale�owned3 939�� D 13 D e D 22 D 68 D D DEqually male�/female�owned3 594�� D S D c D 28 D S D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race3 2�� D 1 D a D – D – D D D

21 Mining

All firms 13�� D 9 D c D – D – D D DFemale�owned 1�� D 1 D a D – D – D D DMale�owned 6�� D 4 D b D – D – D D DEqually male�/female�owned 3�� D 1 D a D – D – D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 2�� D 2 D b D – D – D D D

22 Utilities

All firms 41�� D 23 D h D – D – D D DFemale�owned 1�� D – – – – – D – – – –Male�owned S�� D S D b D S D S D D DEqually male�/female�owned 3�� 11 – – – – – – – – – –Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 13�� D 13 D h D – D – D D D

23 Construction

All firms 7 555�� 6 329 617 2 462 6 009 852 27 502 1 170 284 – – – – – –Female�owned 607�� 229 115 146 213 953 1 366 43 427 21 29 26 31 33 23Male�owned S�� S S D j D S S S D D DEqually male�/female�owned 869�� 473 581 S S S S 19 19 S S S SPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 109�� 1 119 756 107 D h D 40 2 41 D D D

31�33 Manufacturing

All firms 2 919�� 3 635 937 928 3 563 322 13 793 452 431 – – – – – –Female�owned 882�� 127 280 153 112 785 1 229 28 790 9 10 14 10 11 9Male�owned 1 403�� 853 528 544 D i D 6 5 6 D D DEqually male�/female�owned 434�� 108 743 135 D f D 12 8 15 D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 84�� 2 506 310 84 2 506 310 4 805 210 978 14 1 14 1 1 1

42 Wholesale trade

All firms 4 237�� 10 196 967 1 708 10 028 416 19 482 686 964 – – – – – –Female�owned 956�� 880 719 291 831 034 2 195 61 312 15 12 19 14 25 25Male�owned 2 152�� 3 719 133 857 3 623 325 8 944 319 198 9 7 9 7 12 11Equally male�/female�owned 702�� 559 665 301 520 126 1 572 44 567 17 10 20 10 29 24Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 255�� 4 897 524 255 4 897 524 5 810 266 798 15 3 15 3 5 8

44�45 Retail trade

All firms 12 162�� 13 456 920 3 367 13 102 805 64 770 1 341 350 – – – – – –Female�owned 4 752�� 1 301 136 909 1 211 531 8 467 160 288 8 6 8 6 5 10Male�owned 4 711�� 4 497 689 1 557 4 371 131 19 788 455 095 5 4 4 4 4 3Equally male�/female�owned 2 244�� 839 951 661 765 466 5 117 102 586 12 13 8 14 15 15Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 323�� 6 899 225 323 6 899 225 32 166 642 627 10 – 10 – – –

48�49 Transportation andwarehousing

All firms4 2 843�� 1 218 456 649 1 154 108 15 627 469 671 – – – – – –Female�owned4 240�� 80 233 94 76 065 805 20 601 28 13 21 14 21 13Male�owned4 2 241�� 635 201 374 D i D 6 3 9 D D DEqually male�/female�owned4 200�� 93 517 84 86 207 741 21 935 22 25 22 27 14 14Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race4 88�� 336 603 87 D i D 8 – 9 D D D




2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


HAWAII�Con.

51 Information

All firms 1 267�� 2 339 406 346 2 307 123 11 696 581 443 – – – – – –Female�owned 310�� 32 849 42 24 404 302 8 899 13 8 67 9 16 12Male�owned 674�� D 179 D g D 11 D 13 D D DEqually male�/female�owned 152�� D 29 D b D 25 D 40 D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 95�� 2 021 204 85 2 020 036 9 514 498 357 14 – 15 – 1 –

52 Finance and insurance

All firms5 3 290�� 6 711 845 799 6 568 233 18 702 902 759 – – – – – –Female�owned5 435�� 66 978 99 51 323 447 20 737 17 25 19 31 24 27Male�owned5 2 142�� 502 609 417 377 662 2 574 114 712 14 9 7 10 8 8Equally male�/female�owned5 383�� 32 411 28 21 682 183 9 672 37 18 48 22 21 31Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race5 277�� 6 079 251 227 6 078 110 15 711 764 497 9 1 5 1 2 1

53 Real estate and rental andleasing

All firms 10 852�� 3 008 822 1 682 2 378 557 14 614 436 510 – – – – – –Female�owned 2 984�� 243 159 366 142 506 1 038 28 344 12 13 13 16 19 30Male�owned 5 257�� 1 259 352 834 822 498 6 548 200 265 5 11 13 16 13 16Equally male�/female�owned 2 121�� 335 581 292 173 880 1 494 47 536 8 26 17 23 27 28Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 484�� 1 261 823 S S S S 26 3 S S S S

54 Professional, scientific, andtechnical services

All firms 14 360�� 2 706 109 2 879 2 296 858 21 194 882 113 – – – – – –Female�owned 4 102�� 232 059 452 161 796 2 167 65 523 8 16 9 19 20 28Male�owned 8 366�� 1 436 349 1 956 1 200 386 11 163 476 959 5 4 5 5 5 6Equally male�/female�owned 1 640�� 131 401 229 83 406 924 33 539 16 20 11 21 16 23Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 247�� 806 621 238 804 830 6 767 303 194 15 7 14 7 5 5

55 Management of companiesand enterprises

All firms 190�� 88 337 190 88 337 7 109 337 878 – – – – – –Female�owned 13�� D 13 D f D 7 D 7 D D DMale�owned 50�� D 50 D g D 3 D 3 D D DEqually male�/female�owned 5�� 118 5 118 98 3 696 – – – – – –Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 90�� 60 297 90 60 297 4 943 244 085 – – – – – –

56 Administrative and supportand waste managementand remediation services

All firms 6 861�� 1 827 300 1 530 1 702 360 33 265 741 113 – – – – – –Female�owned 2 426�� 232 064 323 191 474 6 373 91 462 14 16 12 16 27 23Male�owned 3 113�� 715 955 738 D j D 8 8 13 D D DEqually male�/female�owned 1 020�� 164 168 354 152 096 3 389 67 060 19 30 18 33 33 35Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 171�� 772 006 170 D j D 24 11 24 D D D

61 Educational services

All firms 1 813�� 636 641 422 611 571 13 274 358 991 – – – – – –Female�owned 563�� 20 733 98 D e D 26 16 34 D D DMale�owned 959�� D 142 D h D 15 D 14 D D DEqually male�/female�owned 142�� D S D e D 63 D S D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 135�� D 134 D i D 18 D 18 D D D

62 Health care and socialassistance

All firms 8 301�� 4 517 077 2 733 4 324 873 51 519 1 807 264 – – – – – –Female�owned 3 340�� 263 701 439 178 701 2 878 76 975 10 24 21 27 19 22Male�owned 3 633�� 1 183 263 1 771 D i D 10 13 5 D D DEqually male�/female�owned 771�� 174 454 S S S S 28 37 S S S SPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 291�� 2 851 571 289 D k D 19 1 19 D D D




2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


HAWAII�Con.

71 Arts, entertainment, andrecreation

All firms 5 097�� 674 210 436 560 552 9 536 168 919 – – – – – –Female�owned 1 789�� 75 957 65 41 079 853 7 598 12 9 23 11 18 15Male�owned 2 350�� D 178 D h D 15 D 11 D D DEqually male�/female�owned 669�� 46 138 62 D f D 36 10 11 D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 128�� D 127 D h D 8 D 8 D D D

72 Accommodation and foodservices

All firms 3 723�� 5 810 573 2 495 5 743 948 87 244 1 660 962 – – – – – –Female�owned 1 220�� 579 588 715 554 546 7 970 138 482 14 15 20 14 20 17Male�owned 1 491�� D 1 022 D k D 9 D 9 D D DEqually male�/female�owned 633�� 480 407 456 474 817 11 724 132 078 17 24 19 24 33 25Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 275�� D 273 D k D 26 D 26 D D D

81 Other services (exceptpublic administration)

All firms6 12 453�� 1 075 053 1 305 796 133 11 576 239 249 – – – – – –Female�owned6 5 158�� 177 490 354 90 642 1 380 23 100 6 12 18 22 28 22Male�owned6 5 793�� 573 937 694 425 463 6 504 128 499 6 7 12 6 10 8Equally male�/female�owned6 1 284�� 121 364 237 86 286 1 284 27 359 21 17 25 22 19 26Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race6 170�� 190 014 118 187 826 2 707 60 641 41 6 41 6 7 5

99 Industries not classified

All firms 86�� D 86 D b D – D – D D DFemale�owned 18�� D 18 D b D 29 D 29 D D DMale�owned 49�� D 49 D a D 23 D 23 D D DEqually male�/female�owned S�� D S D a D S D S D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race –�� – – – – – – – – – – –

IDAHO


All firms 121 560�� 72 736 482 33 106 69 365 388 444 989 11 973 711 – – – – – –Female�owned 28 824�� 3 216 407 4 541 2 746 341 26 633 535 586 3 6 4 7 4 5Male�owned 62 435�� 27 712 442 18 872 25 812 055 189 208 4 991 406 2 2 3 2 2 2Equally male�/female�owned 25 643�� 5 609 417 7 010 4 773 177 50 566 943 231 3 8 5 9 7 7Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 3 203�� 36 387 624 2 624 36 315 444 175 080 5 520 474 4 – 5 – 1 1

11 Forestry, fishing & hunting,and agricultural supportservices (NAICS 113�115)

All firms3 3 059�� 547 273 632 457 623 3 635 106 590 – – – – – –Female�owned3 271�� 16 760 S S S S 26 46 S S S SMale�owned3 1 954�� D 468 D g D 10 D 12 D D DEqually male�/female�owned3 840�� 109 820 178 D f D 19 25 29 D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race3 19�� D 19 D e D 51 D 51 D D D

21 Mining

All firms 249�� 348 103 111 D g D – – – D D DFemale�owned 20�� 31 434 S D c D 60 2 S D D DMale�owned 146�� D 56 D f D 18 D 14 D D DEqually male�/female�owned 47�� D S D e D 27 D S D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 23�� 184 804 23 184 804 858 39 237 9 – 9 – – –

22 Utilities

All firms 216�� 1 575 631 111 1 568 795 3 698 201 910 – – – – – –Female�owned S�� S S S S S S S S S S SMale�owned 87�� D 19 D e D 23 D 39 D D DEqually male�/female�owned S�� D S D b D S D S D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 90�� D 81 D h D 16 D 19 D D D




2002NAICScode




Firms(number)


Firms(number)


Employees(number)

Annualpayroll

($1,000)


WYOMING�Con.

55 Management of companiesand enterprises

All firms 65�� D 65 D f D – D – D D DFemale�owned 3�� D 3 D a D – D – D D DMale�owned 28�� D 28 D b D – D – D D DEqually male�/female�owned 4�� D 4 D a D – D – D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 26�� D 26 D f D 15 D 15 D D D

56 Administrative and supportand waste managementand remediation services

All firms 3 018�� 303 601 754 272 947 6 293 115 365 – – – – – –Female�owned 994�� 46 735 133 41 212 795 13 560 18 28 25 33 25 14Male�owned 1 317�� D 342 108 134 2 758 41 473 15 D 23 16 31 22Equally male�/female�owned 457�� 64 030 158 59 696 1 624 22 979 27 27 32 29 66 43Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 59�� D 53 71 752 2 138 42 526 29 D 32 – 2 –

61 Educational servicesAll firms 735�� D 128 D g D – D – D D D

Female�owned 258�� D 23 D b D 24 D 41 D D DMale�owned 268�� D 31 D c D 46 D 22 D D DEqually male�/female�owned 108�� D S D a D 74 D S D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 44�� D 43 D g D 28 D 29 D D D

62 Health care and socialassistance

All firms 4 472�� 1 152 194 1 335 1 077 561 18 112 460 303 – – – – – –Female�owned 2 015�� D 228 D f D 11 D 20 D D DMale�owned 1 405�� D 598 D h D 15 D 13 D D DEqually male�/female�owned 535�� 82 790 168 74 071 1 099 26 456 32 29 35 32 22 26Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 218�� 442 043 214 439 914 9 356 191 676 21 1 22 1 3 2

71 Arts, entertainment, andrecreation

All firms 2 194�� 184 216 390 D h D – – – D D DFemale�owned 478�� D 44 D c D 31 D 41 D D DMale�owned 1 204�� D 185 D f D 14 D 23 D D DEqually male�/female�owned 274�� 12 110 33 9 153 260 2 433 39 5 39 7 1 5Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 115�� 80 624 102 D g D 19 10 16 D D D

72 Accommodation and foodservices

All firms 2 092�� 1 007 236 1 579 987 283 24 147 271 001 – – – – – –Female�owned 462�� 90 514 368 88 778 2 269 22 471 17 12 18 13 21 10Male�owned 787�� 534 529 695 528 937 13 608 154 400 11 6 14 6 6 6Equally male�/female�owned 623�� 169 194 385 163 167 4 088 40 198 19 16 19 16 17 19Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race 107�� 172 292 101 172 098 3 105 43 086 23 3 25 3 4 6

81 Other services (exceptpublic administration)

All firms6 5 799�� 471 527 1 072 375 188 4 760 102 550 – – – – – –Female�owned6 2 075�� 65 565 188 40 988 829 13 591 9 11 17 16 23 15Male�owned6 2 759�� D 606 D g D 15 D 20 D D DEqually male�/female�owned6 842�� 98 488 235 84 468 1 061 24 461 30 28 31 34 29 37Publicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race6 44�� D 40 D e D 39 D 44 D D D

99 Industries not classified

All firms 87�� D 87 D c D – D – D D DFemale�owned 1�� D 1 D a D – D – D D DMale�owned 57�� D 57 D b D 68 D 68 D D DEqually male�/female�owned S�� D S D c D S D S D D DPublicly held and other firms notclassifiable by gender, Hispanic orLatino origin, and race –�� – – – – – – – – – – –


of scope for the 2002 Economic Census.5Data do not include funds, trusts, and other financial vehicles (NAICS 525), except real estate investment trusts (NAICS 525930).


Table 12. Statistics for All U.S. Firms by State, Kind of Business, and Gender: 2002�Con.6Data do not include religious, grantmaking, civic, professional, and similar organizations (NAICS 813) and private households (NAICS 814).



Table 16. Statistics for All U.S. Firms With No Paid Employees by State and Gender: 2002�Con.[Includes firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates are based on the 2002 Survey ofBusiness Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, each owner had the option of selectingmore than one race and therefore is included in each race selected. For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For information onconfidentiality protection, sampling error, and definitions, see note at the end of the table]

Geographic area and gender

All firmsRelative standard error of

estimate (percent)1 forcolumn�

Firms(number)


A B A B

FLORIDA

Total for all sectorsAll firms 1 179 028�� 53 784 657 – –

Female�owned 372 260�� 10 108 416 1 4Male�owned 663 207�� 35 223 237 1 2Equally male�/female�owned 130 564�� 7 890 467 2 5Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 9 637�� 1 619 926 6 11

GEORGIA

Total for all sectorsAll firms 515 856�� 23 194 892 – –

Female�owned 169 190�� 4 263 922 1 4Male�owned 292 514�� 15 554 791 1 2Equally male�/female�owned 47 678�� 2 624 357 3 7Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 3 535�� 580 278 13 21

HAWAII


Female�owned 25 353�� 649 171 4 6Male�owned 38 039�� 1 928 599 3 6Equally male�/female�owned 10 460�� 559 953 8 16Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 379�� 24 483 43 33

IDAHO


Female�owned 24 283�� 470 066 3 9Male�owned 43 563�� 1 900 387 3 4Equally male�/female�owned 18 632�� 836 240 5 9Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 579�� 72 180 11 10

ILLINOIS


Female�owned 244 558�� 5 487 531 1 3Male�owned 384 495�� 18 711 776 1 3Equally male�/female�owned 75 376�� 3 498 473 3 5Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 6 607�� 1 103 981 6 9

INDIANA



IOWA


Female�owned 55 071�� 869 724 2 4Male�owned 89 748�� 3 624 122 1 4Equally male�/female�owned 27 078�� 1 009 788 4 9Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 1 193�� 184 701 3 11

KANSAS


Female�owned 50 357�� 928 803 2 6Male�owned 81 292�� 3 418 806 1 2Equally male�/female�owned 26 511�� 1 049 633 4 4Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 1 057�� 186 628 9 8

KENTUCKY



LOUISIANA





Table 16. Statistics for All U.S. Firms With No Paid Employees by State and Gender: 2002�Con.[Includes firms with no paid employees. The U.S. totals are based on the 2002 Economic Census, whereas the gender, Hispanic or Latino origin, and race estimates are based on the 2002 Survey ofBusiness Owners (see Survey Methodology in the introductory text). Details may not add to total because a Hispanic or Latino firm may be of any race. Moreover, each owner had the option of selectingmore than one race and therefore is included in each race selected. For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For information onconfidentiality protection, sampling error, and definitions, see note at the end of the table]

Geographic area and gender

All firmsRelative standard error of

estimate (percent)1 forcolumn�

Firms(number)


A B A B

WISCONSIN


All firms 280 652�� 11 274 142 – –Female�owned 87 287�� 1 647 168 1 4Male�owned 152 567�� 7 069 059 1 2Equally male�/female�owned 37 067�� 1 689 143 4 6Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 2 128�� 379 028 6 13

WYOMING


All firms 36 958�� 1 363 114 – –Female�owned 10 422�� D 6 DMale�owned 18 679�� D 4 DEqually male�/female�owned 6 478�� 286 087 8 19Publicly held and other firms not classifiable by gender, Hispanic or Latino origin, and race 247�� 22 183 8 9

1For explanation of relative standard errors, see Reliability of Estimates in the introductory text.



Appendix D.Geographic Notes

ALABAMA

Arab is in Cullman and Marshall Counties.

Bayou La Batre is now tabulated separately due to a population increase. This change deletesterritory from the Balance of Mobile County.

Birmingham is in Jefferson and Shelby Counties.

Boaz is in Etowah and Marshall Counties.

Calera is in Chilton and Shelby Counties; it is now tabulated separately due to a populationincrease. This change deletes territory from the Balances of Chilton and Shelby Counties.

Centreville is no longer tabulated separately due to a population decrease. This change adds ter-ritory to the Balance of Bibb County.

Chelsea is now tabulated separately due to a population increase. This change deletes territoryfrom the Balance of Shelby County.

Childersburg is in Shelby and Talladega Counties.

Cordova is no longer tabulated separately due to a population decrease. This change adds terri-tory to the Balance of Walker County.

Decatur is in Limestone and Morgan Counties.

Dothan is in Dale, Henry, and Houston Counties.

East Brewton is no longer tabulated separately due to a population decrease. This change addsterritory to the Balance of Escambia County.

Enterprise is in Coffee and Dale Counties.

Glencoe is in Calhoun and Etowah Counties.

Haleyville is in Marion and Winston Counties.

Helena is in Jefferson and Shelby Counties; it annexed into Jefferson County in March 1996, butthis change was not submitted to the Census Bureau until August 1998. This change deletes terri-tory from the Balance of Jefferson County.

Hoover is in Jefferson and Shelby Counties.

Huntsville is in Limestone and Madison Counties.

La Fayette name corrected from Lafayette in August 1999.

Leeds is in Jefferson, St. Clair, and Shelby Counties.

Linden is no longer tabulated separately due to a population decrease. This change adds territoryto the Balance of Marengo County.

Lipscomb is no longer tabulated separately due to a population decrease. This change adds terri-tory to the Balance of Jefferson County.

Madison is in Limestone and Madison Counties.

Millbrook is in Autauga and Elmore Counties; it annexed into Autauga County in February 1999.This change deletes territory from the Balance of Autauga County.

Appendix D D–1Survey of Business Owners


Balance of Dooly County no longer includes Unadilla, which is tabulated separately due to apopulation increase.

Balance of Douglas County gained territory due to the disincorporation of Lithia Springs.

Balance of Evans County includes Claxton, which is no longer tabulated separately due to apopulation decrease.

Balance of Franklin County includes Royston (part), which is no longer tabulated separatelydue to a population decrease.

Balance of Hall County no longer includes Oakwood, which is tabulated separately due to apopulation increase.

Balance of Hart County includes Royston (part), which is no longer tabulated separately due toa population decrease.

Balance of Henry County includes Locust Grove, which is no longer tabulated separately due toa population decrease.

Balance of Houston County no longer includes Byron (part), which is tabulated separately dueto a population increase.

Balance of Laurens County includes East Dublin, which is no longer tabulated separately due toa population decrease.

Balance of Liberty County no longer includes Walthourville, which is tabulated separately dueto a population increase.

Balance of Madison County includes Royston (part), which is no longer tabulated separatelydue to a population decrease.

Balance of Peach County lost territory due to the annexation of Warner Robins into the countyand no longer includes Byron (part), which is tabulated separately due to a population increase.

Balance of Tattnall County includes Reidsville, which is no longer tabulated separately due to apopulation decrease.

Balance of Wilkinson County includes Gordon, which is no longer tabulated separately due to apopulation decrease.

HAWAII

Ewa Gentry CDP is now tabulated separately due to a population increase. This change deletesterritory from the Balance of Honolulu County.

Iroquois Point CDP is no longer tabulated separately due to a population decrease. This changeadds territory to the Balance of Honolulu County.

Island of Lanai code changed from 43700 to 19200.

Island of Molokai (balance) erroneously reported with name Island of Molokai in 1997; theterm ‘‘(balance)’’ after the island refers to the portion of the island excluding a CDP recognized forthe 2002 Economic Census. Island of Molokai (balance) contains all of the Island of Molokai(including Kalawao County and part of Maui County) except Kaunakakai CDP.

Waikoloa Village CDP is now tabulated separately due to a population increase. This changedeletes territory from the Balance of Hawaii County.

Balance of Hawaii County no longer includes Waikoloa Village CDP, which is tabulated sepa-rately due to a population increase.

Balance of Honolulu County no longer includes Ewa Gentry CDP, which is tabulated separatelydue to a population increase, and includes Iroquois Point CDP, which is no longer tabulated sepa-rately due to a population decrease.

Appendix D D–11Survey of Business Owners


Appendix E.Metropolitan and Micropolitan Statistical Areas

ALBANY-CORVALLIS-LEBANON, OR COMBINED STATISTICAL AREA

Albany-Lebanon, OR Micropolitan Statistical Area

Linn County, OR

Corvallis, OR Metropolitan Statistical Area

Benton County, OR

ALBANY-SCHENECTADY-AMSTERDAM, NY COMBINED STATISTICAL AREA

Albany-Schenectady-Troy, NY Metropolitan Statistical Area

Albany County, NY

Rensselaer County, NY

Saratoga County, NY

Schenectady County, NY

Schoharie County, NY

Amsterdam, NY Micropolitan Statistical Area

Montgomery County, NY

Glens Falls, NY Metropolitan Statistical Area

Warren County, NY

Washington County, NY

Gloversville, NY Micropolitan Statistical Area

Fulton County, NY

Hudson, NY Micropolitan Statistical Area

Columbia County, NY

AMES-BOONE, IA COMBINED STATISTICAL AREA

Ames, IA Metropolitan Statistical Area

Story County, IA

Boone, IA Micropolitan Statistical Area

Boone County, IA

APPLETON-OSHKOSH-NEENAH, WI COMBINED STATISTICAL AREA

Appleton, WI Metropolitan Statistical Area

Calumet County, WI

Outagamie County, WI

Appendix E E–1Survey of Business Owners


HICKORY-MORGANTON-LENOIR, NC METROPOLITAN STATISTICAL AREA

Alexander County, NC

Burke County, NC

Caldwell County, NC

Catawba County, NC

HILO, HI MICROPOLITAN STATISTICAL AREA

Hawaii County, HI

HILTON HEAD ISLAND-BEAUFORT, SC MICROPOLITAN STATISTICAL AREA

Beaufort County, SC

Jasper County, SC

HOBBS, NM MICROPOLITAN STATISTICAL AREA

Lea County, NM

HOMOSASSA SPRINGS, FL MICROPOLITAN STATISTICAL AREA

Citrus County, FL

HONOLULU, HI METROPOLITAN STATISTICAL AREA

Honolulu County, HI

HOOD RIVER, OR MICROPOLITAN STATISTICAL AREA

Hood River County, OR

HOPE, AR MICROPOLITAN STATISTICAL AREA

Hempstead County, AR

Nevada County, AR

HOT SPRINGS, AR METROPOLITAN STATISTICAL AREA

Garland County, AR

HOUGHTON, MI MICROPOLITAN STATISTICAL AREA

Houghton County, MI

Keweenaw County, MI

HOUMA-BAYOU CANE-THIBODAUX, LA METROPOLITAN STATISTICAL AREA

Lafourche Parish, LA

Terrebonne Parish, LA

HUNTINGDON, PA MICROPOLITAN STATISTICAL AREA

Huntingdon County, PA

E–56 Appendix E Survey of Business Owners


JACKSONVILLE, IL MICROPOLITAN STATISTICAL AREA

Morgan County, IL

Scott County, IL

JACKSONVILLE, NC METROPOLITAN STATISTICAL AREA

Onslow County, NC

JAMESTOWN, ND MICROPOLITAN STATISTICAL AREA

Stutsman County, ND

JAMESTOWN-DUNKIRK-FREDONIA, NY MICROPOLITAN STATISTICAL AREA

Chautauqua County, NY

JANESVILLE, WI METROPOLITAN STATISTICAL AREA

Rock County, WI

JASPER, IN MICROPOLITAN STATISTICAL AREA

Dubois County, IN

Pike County, IN

JEFFERSON CITY, MO METROPOLITAN STATISTICAL AREA

Callaway County, MO

Cole County, MO

Moniteau County, MO

Osage County, MO

JESUP, GA MICROPOLITAN STATISTICAL AREA

Wayne County, GA

JOHNSTOWN, PA METROPOLITAN STATISTICAL AREA

Cambria County, PA

JONESBORO, AR METROPOLITAN STATISTICAL AREA

Craighead County, AR

Poinsett County, AR

JOPLIN, MO METROPOLITAN STATISTICAL AREA

Jasper County, MO

Newton County, MO

JUNEAU, AK MICROPOLITAN STATISTICAL AREA

Juneau City and Borough, AK

KAHULUI-WAILUKU, HI MICROPOLITAN STATISTICAL AREA

Maui County, HI

E–58 Appendix E Survey of Business Owners


KALAMAZOO-PORTAGE, MI METROPOLITAN STATISTICAL AREA

Kalamazoo County, MI

Van Buren County, MI

KALISPELL, MT MICROPOLITAN STATISTICAL AREA

Flathead County, MT

KAPAA, HI MICROPOLITAN STATISTICAL AREA

Kauai County, HI

KEARNEY, NE MICROPOLITAN STATISTICAL AREA

Buffalo County, NE

Kearney County, NE

KEENE, NH MICROPOLITAN STATISTICAL AREA

Cheshire County, NH

KENNETT, MO MICROPOLITAN STATISTICAL AREA

Dunklin County, MO

KENNEWICK-RICHLAND-PASCO, WA METROPOLITAN STATISTICAL AREA

Benton County, WA

Franklin County, WA

KEOKUK-FORT MADISON, IA-MO MICROPOLITAN STATISTICAL AREA

Lee County, IA

Clark County, MO

KERRVILLE, TX MICROPOLITAN STATISTICAL AREA

Kerr County, TX

KETCHIKAN, AK MICROPOLITAN STATISTICAL AREA

Ketchikan Gateway Borough, AK

KEY WEST-MARATHON, FL MICROPOLITAN STATISTICAL AREA

Monroe County, FL

KILL DEVIL HILLS, NC MICROPOLITAN STATISTICAL AREA

Dare County, NC

KILLEEN-TEMPLE-FORT HOOD, TX METROPOLITAN STATISTICAL AREA

Bell County, TX

Coryell County, TX

Lampasas County, TX

Appendix E E–59Survey of Business Owners


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