IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / USA_2000_PHC_V01_M_V02_A_IPUMS / variable [F2]
central

Census of Population and Housing 2000 - IPUMS Subset

United States, 2000
Get Microdata
Reference ID
USA_2000_PHC_v01_M_v02_A_IPUMS
Producer(s)
U.S. Census Bureau, Minnesota Population Center
Metadata
DDI/XML JSON
Study website
Created on
Dec 23, 2014
Last modified
Mar 29, 2019
Page views
19844
Downloads
346
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • Data files
  • USA2000-H-H
  • USA2000-P-H

Place of work city (US2000A_0507)

Data file: USA2000-P-H

Overview

Valid: 0
Invalid: 0
Type: Discrete
Decimal: 0
Start: 405
End: 408
Width: 4
Range: -
Format:

Questions and instructions

Literal question
18. Was this person under 15 years of age on April 1, 2000?

[] Yes [Go on to question 33]
[] No





22. At what location did this person work last week? If this person worked at more than one location, print where he or she worked most last week.

a. Address (Number and street name)


____
____


(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)

____ b. Name of city, town, or post office

c. Is the work location inside the limits of that city or town?


[] Yes
[] No, outside the city/town limits


____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
Categories
Value Category
0 NIU
10 Akron, OH
90 Alexandria, VA
130 Allentown, PA
210 Anchorage, AK
270 Ann Arbor, MI
510 Bakersfield, CA
530 Baltimore, MD
590 Baton Rouge, LA
670 Beaumont, TX
680 Bellevue, WA
800 Boise, ID
810 Boston, MA
830 Bridgeport, CT
880 Brownsville, TX
890 Buffalo, NY
930 Cambridge, MA
1000 Cape Coral, FL
1090 Charlotte, NC
1110 Chattanooga, TN
1150 Chesapeake, VA
1190 Chicago, IL
1290 Cincinnati, OH
1410 Columbia, SC
1450 Columbus, OH
1500 Corona, CA
1520 Corpus Christi, TX
1670 Dayton, OH
1730 Des Moines, IA
1750 Detroit, MI
1800 Downey, CA
1990 El Monte, CA
2050 Elizabeth, NJ
2090 Erie, PA
2170 Evansville, IN
2240 Fayetteville, NC
2260 Fontana, CA
2270 Flint, MI
2300 Fort Collins, CO
2330 Fort Wayne, IN
2370 Fresno, CA
2470 Gary, IN
2530 Grand Rapids, MI
2550 Green Bay, WI
2570 Greensboro, NC
2650 Hampton, VA
2710 Hartford, CT
2950 Huntsville, AL
2970 Independence, MO
3010 Inglewood, CA
3020 Irvine, CA
3090 Jackson, MS
3150 Jersey City, NJ
3260 Kansas City, MO
3330 Knoxville, TN
3390 Lafayette, LA
3440 Lancaster, CA
3470 Lansing, MI
3590 Lexington-Fayette, KY
3650 Little Rock, AR
3670 Livonia, MI
3690 Long Beach, CA
3770 Lowell, MA
3870 Madison, WI
3910 Manchester, NH
3960 McAllen, TX
4010 Memphis, TN
4130 Milwaukee, WI
4150 Minneapolis, MN
4170 Mobile, AL
4190 Modesto, CA
4250 Montgomery, AL
4270 Moreno Valley, CA
4530 New Haven, CT
4570 New Orleans, LA
4610 New York, NY
4630 Newark, NJ
4750 Newport News, VA
4810 Norfolk, VA
4860 Norwalk, CA
4990 Oklahoma City, OK
5030 Ontario, CA
5130 Oxnard, CA
5140 Palmdale, CA
5170 Pasadena, TX
5210 Paterson, NJ
5270 Peoria, IL
5330 Philadelphia, PA
5370 Pittsburgh, PA
5450 Pomona, CA
5650 Providence, RI
5750 Raleigh, NC
5770 Rancho Cucamonga, CA
5810 Reno, NV
5870 Richmond, VA
5890 Riverside, CA
5930 Rochester, NY
5970 Rockford, IL
6030 Sacramento, CA
6090 Saint Louis, MO
6110 Saint Paul, MN
6190 Salinas, CA
6250 San Bernadino, CA
6290 San Francisco, CA
6340 Santa Clarita, CA
6370 Savannah, GA
6430 Seattle, WA
6500 Simi Valley, CA
6530 Sioux Falls, SD
6590 South Bend, IN
6630 Spokane, WA
6650 Springfield, IL
6670 Springfield, MA
6690 Springfield, MO
6730 Stamford, CT
6750 Sterling Heights, MI
6790 Stockton, CA
6850 Syracuse, NY
6870 Tacoma, WA
6960 Thousand Oaks, CA
6970 Toledo, OH
7000 Torrance, CA
7070 Tulsa, OK
7100 Vancouver, WA
7130 Virginia Beach, VA
7180 Warren, MI
7230 Washington, DC
7250 Waterbury, CT
7320 West Covina, CA
7410 Wichita, KS
7530 Winston-Salem, NC
7570 Worcester, MA
7590 Yonkers, NY
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Definition
This variable indicates in which metropolitan area, if any, the person worked in the week prior to the census.
Universe
Persons age 16+ who worked last week in identifiable cities

concept

Concept
Name Vocabulary
Work Variables -- PERSON IPUMS
Back to Catalog
IHSN Survey Catalog

© IHSN Survey Catalog, All Rights Reserved.