DOI: 10.3886/icpsr13520.v2
title: Census of Population and Housing, 2000 [United States]: Summary File 4, District of Columbia
title: Version 2

description: Summary File 4 (SF 4) from the United States 2000 Census
contains the sample data, which is the information compiled from the
questions asked of a sample of all people and housing units.
Population items include basic population totals: urban and rural,
households and families, marital status, grandparents as caregivers,
language and ability to speak English, ancestry, place of birth,
citizenship status, year of entry, migration, place of work, journey
to work (commuting), school enrollment and educational attainment,
veteran status, disability, employment status, industry, occupation,
class of worker, income, and poverty status. Housing items include
basic housing totals: urban and rural, number of rooms, number of
bedrooms, year moved into unit, household size and occupants per room,
units in structure, year structure built, heating fuel, telephone
service, plumbing and kitchen facilities, vehicles available, value of
home, monthly rent, and shelter costs. In Summary File 4, the sample
data are presented in 213 population tables (matrices) and 110 housing
tables, identified with "PCT" and "HCT" respectively. Each table is
iterated for 336 population groups: the total population, 132 race
groups, 78 American Indian and Alaska Native tribe categories
(reflecting 39 individual tribes), 39 Hispanic or Latino groups, and
86 ancestry groups. The presentation of SF4 tables for any of the 336
population groups is subject to a population threshold. That is, if
there are fewer than 100 people (100-percent count) in a specific
population group in a specific geographic area, and there are fewer
than 50 unweighted cases, their population and housing characteristics
data are not available for that geographic area in SF4. For the
ancestry iterations, only the 50 unweighted cases test can be
performed. See Appendix H: Characteristic Iterations, for a complete
list of characteristic iterations.
description: Datasets: 
DS256: Arab/Arabic (495-499)
DS0: Study-Level Files
DS1: Total Population
DS257: Egyptian (402-403)
DS2: White Alone
DS3: White Alone or in Combination With One or More Other Races
DS4: Black or African American Alone
DS260: Lebanese (425-426)
DS5: Black or African American Alone or in Combination With One or More Other Races
DS261: Moroccan (406-407)
DS6: American Indian and Alaska Native Alone
DS7: American Indian Alone
DS9: American Indian and Alaska Native Alone or in Combination With One or More Other Races
DS10: American Indian Alone or in Any Combination
DS11: Alaska Native Alone or in Any Combination
DS267: Austrian (003-004)
DS12: Asian Alone
DS13: Asian Indian Alone
DS269: Belgian (008-010)
DS270: Brazilian (360-364)
DS271: British (011-014)
DS16: Chinese Alone
DS17: Chinese, Except Taiwanese, Alone
DS273: Canadian (931-934)
DS275: Croatian (109-110)
DS19: Filipino Alone
DS276: Czech (111-113)
DS278: Danish (020, 023)
DS22: Japanese Alone
DS279: Dutch (021, 029)
DS23: Korean Alone
DS280: English (015, 022)
DS282: European (195)
DS283: Finnish (024-025)
DS284: French (except Basque) (016, 026-028, 083)
DS285: French Canadian (935)
DS29: Vietnamese Alone
DS286: German (032-045)
DS31: Asian Alone or in Combination With One or More Other Races
DS287: Greek (046-048)
DS32: Asian Indian Alone or in Any Combination
DS288: Guyanese (370-374)
DS289: Hungarian (125-126)
DS35: Chinese Alone or in Any Combination
DS291: Iranian (416)
DS292: Irish (050, 081)
DS36: Chinese, Except Taiwanese, Alone or in Any Combination
DS38: Filipino Alone or in Any Combination
DS294: Italian (030-031, 051-074)
DS296: Lithuanian (129)
DS41: Japanese Alone or in Any Combination
DS42: Korean Alone or in Any Combination
DS300: Norwegian (082)
DS302: Polish (142-143)
DS303: Portuguese (084-086)
DS48: Vietnamese Alone or in Any Combination
DS304: Romanian (144-147)
DS305: Russian (148-151)
DS306: Scandinavian (098)
DS307: Scotch-Irish (087)
DS308: Scottish (088)
DS311: Slovak (153)
DS313: Subsaharan African (500-599)
DS314: African (599)
DS60: Native Hawaiian and Other Pacific Islander Alone or in Combination With One or More Other Races
DS316: Ethiopian (522-524)
DS318: Nigerian (553-560)
DS320: Swedish (089-090)
DS321: Swiss (091-096)
DS322: Turkish (434)
DS323: Ukrainian (171-174)
DS324: United States or American (939-994)
DS325: Welsh (097)
DS70: Some Other Race Alone
DS326: West Indian (Excluding Hispanic Origin Groups) (300-359)
DS71: Some Other Race Alone or in Combination With One or More Other Races
DS72: Two or More Races
DS73: Two Races Including Some Other Race
DS74: Two Races Excluding Some Other Race, and Three or More Races
DS75: Two Races Excluding Some Other Race
DS332: Haitian (336-359)
DS76: Three or More Races
DS333: Jamaican (308-309)
DS77: White, Black or African American
DS334: Trinidadian and Tobagonian (314-316)
DS78: White, American Indian and Alaska Native
DS335: West Indian (335)
DS79: White, Asian
DS337: Geographic Header File
DS81: White, Some Other Race
DS82: Black or African American, American Indian and Alaska Native
DS83: Black or African American, Asian
DS85: Black or African American, Some Other Race
DS90: Asian, Some Other Race
DS92: White, Black or African American, American Indian and Alaska Native
DS143: Cherokee Alone or in Any Combination
DS173: Latin American Indian Alone or in Any Combination
DS212: Hispanic or Latino (of Any Race)
DS213: Mexican
DS214: Puerto Rican
DS215: Cuban
DS216: Other Hispanic or Latino
DS217: Dominican (Dominican Republic)
DS218: Central American
DS220: Guatemalan
DS221: Honduran
DS222: Nicaraguan
DS223: Panamanian
DS224: Salvadoran
DS225: South American
DS226: Argentinian
DS229: Colombian
DS232: Peruvian
DS236: All Other Hispanic or Latino
DS237: Not Hispanic or Latino
DS238: Not Hispanic or Latino, White Alone
DS239: Not Hispanic or Latino, White Alone or in Combination With One or More Other Races
DS240: Not Hispanic or Latino, Black or African American Alone
DS241: Not Hispanic or Latino, Black or African American Alone or in Combination With One or More Other Races
DS242: Not Hispanic or Latino, American Indian and Alaska Native Alone
DS243: Not Hispanic or Latino, American Indian and Alaska Native Alone or in Combination With One or More Other Races
DS244: Not Hispanic or Latino, Asian Alone
DS245: Not Hispanic or Latino, Asian Alone or in Combination With One or More Other Races
DS247: Not Hispanic or Latino, Native Hawaiian and Other Pacific Islander Alone or in Combination With One or More Other Races
DS248: Not Hispanic or Latino, Some Other Race Alone
DS249: Not Hispanic or Latino, Some Other Race Alone or in Combination With One or More Other Races
DS250: Not Hispanic or Latino, Two or More Races
DS255: Arab (400-415, 417-418, 421-430, 435-481, 490-499)
description: All persons in housing units in the District of Columbia
in 2000.
description: Because of the number of files per state in
Summary File 4, ICPSR has given each state its own ICPSR study number
in the range ICPSR 13512-13563. The study number for the national file
is 13570. Data for each state are being released as they become
available.The data are provided in 38 segments (files) per
iteration. These segments are PCT1-PCT4, PCT5-PCT16, PCT17-PCT34,
PCT35-PCT37, PCT38-PCT45, PCT46-PCT49, PCT50-PCT61, PCT62-PCT67,
PCT68-PCT71, PCT72-PCT76, PCT77-PCT78, PCT79-PCT81, PCT82-PCT84,
PCT85-PCT86 (partial), PCT86 (partial), PCT87-PCT103, PCT104-PCT120,
PCT121-PCT131, PCT132-PCT137, PCT138-PCT143, PCT144, PCT145-PCT150,
PCT151-PCT156, PCT157-PCT162, PCT163-PCT208, PCT209-PCT213, HCT1-HCT9,
HCT10-HCT18, HCT19-HCT22, HCT23-HCT25, HCT26-HCT29, HCT30-HCT39,
HCT40-HCT55, HCT56-HCT61, HCT62-HCT70, HCT71-HCT81, HCT82-HCT86, and
HCT87-HCT110. The iterations are Parts 1-336, the Geographic Header
File is Part 337. The Geographic Header File is in fixed-format ASCII
and the table files are in comma-delimited ASCII format. A merged
iteration will have 7,963 variables.For Parts 251-336, the part
names contain numbers within parentheses that refer to the Ancestry
Code List (page G1 of the codebook).