American Community Survey 2010 - IPUMS Subset
United States, 2010
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Reference ID
USA_2010_CS_v01_M_v02_A_IPUMS
Producer(s)
U.S. Census Bureau, Minnesota Population Center
Created on
Dec 23, 2014
Last modified
Mar 29, 2019
Page views
59144
Downloads
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- Data files
- USA2010-H-H
- USA2010-P-H
United States, Metropolitan area (METROUS)
Data file: USA2010-H-H
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
60
End:
62
Width:
3
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | Household not in an identifiable metropolitan area |
| 4 | Abilene, TX |
| 8 | Akron, OH |
| 12 | Albany, GA |
| 16 | Albany-Schenectady-Troy, NY |
| 20 | Albuquerque, NM |
| 22 | Alexandria, LA |
| 24 | Allentown-Bethlehem-Easton, PA/NJ |
| 28 | Altoona, PA |
| 32 | Amarillo, TX |
| 38 | Anchorage, AK |
| 40 | Anderson, IN |
| 44 | Ann Arbor, MI |
| 45 | Anniston, AL |
| 46 | Appleton-Oskosh-Neenah, WI |
| 48 | Asheville, NC |
| 50 | Athens, GA |
| 52 | Atlanta, GA |
| 56 | Atlantic City, NJ |
| 58 | Auburn-Opelika, AL |
| 60 | Augusta-Aiken, GA-SC |
| 64 | Austin, TX |
| 68 | Bakersfield, CA |
| 72 | Baltimore, MD |
| 73 | Bangor, ME |
| 74 | Barnstable-Yarmouth, MA |
| 76 | Baton Rouge, LA |
| 78 | Battle Creek, MI |
| 84 | Beaumont-Port Arthur-Orange, TX |
| 86 | Bellingham, WA |
| 87 | Benton Harbor, MI |
| 88 | Billings, MT |
| 92 | Biloxi-Gulfport, MS |
| 96 | Binghamton, NY |
| 100 | Birmingham, AL |
| 101 | Bismarck, ND |
| 102 | Bloomington, IN |
| 104 | Bloomington-Normal, IL |
| 108 | Boise City, ID |
| 112 | Boston, MA |
| 114 | Bradenton, FL |
| 115 | Bremerton, WA |
| 116 | Bridgeport, CT |
| 120 | Brockton, MA |
| 124 | Brownsville - Harlingen-San Benito, TX |
| 126 | Bryan-College Station, TX |
| 128 | Buffalo-Niagara Falls, NY |
| 130 | Burlington, NC |
| 131 | Burlington, VT |
| 132 | Canton, OH |
| 135 | Casper, WY |
| 136 | Cedar Rapids, IA |
| 140 | Champaign-Urbana-Rantoul, IL |
| 144 | Charleston-N.Charleston,SC |
| 148 | Charleston, WV |
| 152 | Charlotte-Gastonia-Rock Hill, SC |
| 154 | Charlottesville, VA |
| 156 | Chattanooga, TN/GA |
| 158 | Cheyenne, WY |
| 160 | Chicago-Gary-Lake IL |
| 162 | Chico, CA |
| 164 | Cincinnati, OH/KY/IN |
| 166 | Clarksville- Hopkinsville, TN/KY |
| 168 | Cleveland, OH |
| 172 | Colorado Springs, CO |
| 174 | Columbia, MO |
| 176 | Columbia, SC |
| 180 | Columbus, GA/AL |
| 184 | Columbus, OH |
| 188 | Corpus Christi, TX |
| 190 | Cumberland, MD/WV |
| 192 | Dallas-Fort Worth, TX |
| 193 | Danbury, CT |
| 195 | Danville, VA |
| 196 | Davenport, IA-Rock Island-Moline, IL |
| 200 | Dayton-Springfield, OH |
| 202 | Daytona Beach, FL |
| 203 | Decatur, AL |
| 204 | Decatur, IL |
| 208 | Denver-Boulder-Longmont, CO |
| 212 | Des Moines, IA |
| 216 | Detroit, MI |
| 218 | Dothan, AL |
| 219 | Dover, DE |
| 220 | Dubuque, IA |
| 224 | Duluth-Superior, MN/WI |
| 228 | Dutchess County, NY |
| 229 | Eau Claire, WI |
| 231 | El Paso, TX |
| 232 | Elkhart-Goshen, IN |
| 233 | Elmira, NY |
| 234 | Enid, OK |
| 236 | Erie, PA |
| 240 | Eugene-Springfield, OR |
| 244 | Evansville, IN/KY |
| 252 | Fargo-Moorhead, ND/MN |
| 256 | Fayetteville, NC |
| 258 | Fayetteville-Springdale, AR |
| 260 | Fitchburg-Leominster, MA |
| 262 | Flagstaff, AZ |
| 264 | Flint, MI |
| 265 | Florence, AL |
| 266 | Florence, SC |
| 267 | Fort Collins-Loveland, CO |
| 268 | Fort Lauderdale-Hollywood-Pompano Beach, FL |
| 270 | Fort Myers-Cape Coral, FL |
| 271 | Fort Pierce, FL |
| 272 | Fort Smith, AR/OK |
| 275 | Fort Walton Beach, FL |
| 276 | Fort Wayne, IN |
| 284 | Fresno, CA |
| 288 | Gadsden, AL |
| 290 | Gainesville, FL |
| 292 | Galveston-Texas City, TX |
| 297 | Glens Falls, NY |
| 298 | Goldsboro, NC |
| 299 | Grand Forks, ND/MN |
| 300 | Grand Rapids, MI |
| 301 | Grand Junction, CO |
| 304 | Great Falls, MT |
| 306 | Greeley, CO |
| 308 | Green Bay, WI |
| 312 | Greensboro-Winston Salem-High Point, NC |
| 315 | Greenville, NC |
| 316 | Greenville-Spartenburg-Anderson, SC |
| 318 | Hagerstown, MD |
| 320 | Hamilton-Middleton, OH |
| 324 | Harrisburg-Lebanon-Carlisle, PA |
| 328 | Hartford-Bristol-Middletown-New Britian, CT |
| 329 | Hickory-Morgantown, NC |
| 330 | Hattiesburg, MS |
| 332 | Honolulu, HI |
| 335 | Houma-Thibodoux, LA |
| 336 | Houston-Brazoria, TX |
| 340 | Huntington-Ashland, WV/KY/OH |
| 344 | Huntsville, AL |
| 348 | Indianapolis, IN |
| 350 | Iowa City, IA |
| 352 | Jackson, MI |
| 356 | Jackson, MS |
| 358 | Jackson, TN |
| 359 | Jacksonville, FL |
| 360 | Jacksonville, NC |
| 361 | Jamestown-Dunkirk, NY |
| 362 | Janesville-Beloit, WI |
| 366 | Johnson City-Kingsport-Bristol, TN/VA |
| 368 | Johnstown, PA |
| 371 | Joplin, MO |
| 372 | Kalamazoo-Portage, MI |
| 374 | Kankakee, IL |
| 376 | Kansas City, MO-KS |
| 380 | Kenosha, WI |
| 381 | Killeen-Temple, TX |
| 384 | Knoxville, TN |
| 385 | Kokomo, IN |
| 387 | LaCrosse, WI |
| 388 | Lafayette, LA |
| 392 | Lafayette-W. Lafayette,IN |
| 396 | Lake Charles, LA |
| 398 | Lakeland-Winterhaven, FL |
| 400 | Lancaster, PA |
| 404 | Lansing-E. Lansing, MI |
| 408 | Laredo, TX |
| 410 | Las Cruces, NM |
| 412 | Las Vegas, NV |
| 415 | Lawrence, KS |
| 420 | Lawton, OK |
| 424 | Lewiston-Auburn, ME |
| 428 | Lexington-Fayette, KY |
| 432 | Lima, OH |
| 436 | Lincoln, NE |
| 440 | Little Rock-North Little Rock, AR |
| 441 | Long Branch-Asbury Park, NJ |
| 442 | Longview-Marshall, TX |
| 444 | Lorain-Elyria, OH |
| 448 | Los Angeles-Long Beach, CA |
| 452 | Louisville, KY/IN |
| 460 | Lubbock, TX |
| 464 | Lynchburg, VA |
| 468 | Macon-Warner Robins, GA |
| 472 | Madison, WI |
| 476 | Manchester, NH |
| 480 | Mansfield, OH |
| 488 | McAllen-Edinburg-Pharr-Mission, TX |
| 489 | Medford, OR |
| 490 | Melbourne-Titusville-Cocoa-Palm Bay, FL |
| 492 | Memphis, TN/AR/MS |
| 494 | Merced, CA |
| 500 | Miami-Hialeah, FL |
| 504 | Midland, TX |
| 508 | Milwaukee, WI |
| 512 | Minneapolis-St. Paul, MN |
| 516 | Mobile, AL |
| 517 | Modesto, CA |
| 519 | Monmouth-Ocean, NJ |
| 520 | Monroe, LA |
| 524 | Montgomery, AL |
| 528 | Muncie, IN |
| 532 | Muskegon-Norton Shores-Muskegon Heights, MI |
| 533 | Myrtle Beach, SC |
| 534 | Naples, FL |
| 535 | Nashua, NH |
| 536 | Nashville, TN |
| 540 | New Bedford, MA |
| 546 | New Brunswick-Perth Amboy-Sayreville, NJ |
| 548 | New Haven-Meriden, CT |
| 552 | New London-Norwich, CT/RI |
| 556 | New Orleans, LA |
| 560 | New York-Northeastern NJ |
| 564 | Newark, OH |
| 566 | Newburgh-Middletown, NY |
| 572 | Norfolk-VA Beach-Newport News, VA |
| 576 | Norwalk, CT |
| 579 | Ocala, FL |
| 580 | Odessa, TX |
| 588 | Oklahoma City, OK |
| 591 | Olympia, WA |
| 592 | Omaha, NE/IA |
| 595 | Orange County, NY |
| 596 | Orlando, FL |
| 599 | Owensboro, KY |
| 601 | Panama City, FL |
| 602 | Parkersburg-Marietta,WV/OH |
| 603 | Pascagoula-Moss Point, MS |
| 608 | Pensacola, FL |
| 612 | Peoria, IL |
| 616 | Philadelphia, PA/NJ |
| 620 | Phoenix, AZ |
| 624 | Pine Bluff, AR |
| 628 | Pittsburgh-Beaver Valley, PA |
| 632 | Pittsfield, MA |
| 640 | Portland, ME |
| 644 | Portland-Vancouver, OR |
| 645 | Portsmouth-Dover-Rochester, NH/ME |
| 646 | Poughkeepsie, NY |
| 648 | Providence-Fall River-Pawtuckett, MA |
| 652 | Provo-Orem, UT |
| 656 | Pueblo, CO |
| 658 | Punta Gorda, FL |
| 660 | Racine, WI |
| 664 | Raleigh-Durham, NC |
| 666 | Rapid City, SD |
| 668 | Reading, PA |
| 669 | Redding, CA |
| 672 | Reno, NV |
| 674 | Richland-Kennewick-Pasco, WA |
| 676 | Richmond-Petersburg, VA |
| 678 | Riverside-San Bernadino,CA |
| 680 | Roanoke, VA |
| 682 | Rochester, MN |
| 684 | Rochester, NY |
| 688 | Rockford, IL |
| 689 | Rocky Mount, NC |
| 692 | Sacramento, CA |
| 696 | Saginaw-Bay City-Midland, MI |
| 698 | St. Cloud, MN |
| 700 | St. Joseph, MO |
| 704 | St. Louis, MO-IL |
| 708 | Salem, OR |
| 712 | Salinas-Sea Side-Monterey, CA |
| 714 | Salisbury-Concord, NC |
| 716 | Salt Lake City-Ogden, UT |
| 720 | San Angelo, TX |
| 724 | San Antonio, TX |
| 732 | San Diego, CA |
| 736 | San Francisco-Oakland-Vallejo, CA |
| 740 | San Jose, CA |
| 746 | San Luis Obispo-Atascad-P Robles, CA |
| 747 | Santa Barbara-Santa Maria-Lompoc, CA |
| 748 | Santa Cruz, CA |
| 749 | Santa Fe, NM |
| 750 | Santa Rosa-Petaluma, CA |
| 751 | Sarasota, FL |
| 752 | Savannah, GA |
| 756 | Scranton-Wilkes-Barre, PA |
| 760 | Seattle-Everett, WA |
| 761 | Sharon, PA |
| 762 | Sheboygan, WI |
| 764 | Sherman-Denison, TX |
| 768 | Shreveport, LA |
| 772 | Sioux City, IA/NE |
| 776 | Sioux Falls, SD |
| 780 | South Bend-Mishawaka, IN |
| 784 | Spokane, WA |
| 788 | Springfield, IL |
| 792 | Springfield, MO |
| 800 | Springfield-Holyoke-Chicopee, MA |
| 804 | Stamford, CT |
| 805 | State College, PA |
| 808 | Steubenville-Weirton,OH/WV |
| 812 | Stockton, CA |
| 814 | Sumter, SC |
| 816 | Syracuse, NY |
| 820 | Tacoma, WA |
| 824 | Tallahassee, FL |
| 828 | Tampa-St. Petersburg-Clearwater, FL |
| 832 | Terre Haute, IN |
| 836 | Texarkana, TX/AR |
| 840 | Toledo, OH/MI |
| 844 | Topeka, KS |
| 848 | Trenton, NJ |
| 852 | Tucson, AZ |
| 856 | Tulsa, OK |
| 860 | Tuscaloosa, AL |
| 864 | Tyler, TX |
| 868 | Utica-Rome, NY |
| 873 | Ventura-Oxnard-Simi Valley |
| 875 | Victoria, TX |
| 876 | Vineland-Milville-Bridgetown, NJ |
| 878 | Visalia-Tulare -Porterville, CA |
| 880 | Waco, TX |
| 884 | Washington, DC/MD/VA |
| 888 | Waterbury, CT |
| 892 | Waterloo-Cedar Falls, IA |
| 894 | Wausau, WI |
| 896 | West Palm Beach-Boca Raton -Delray Beach, FL |
| 900 | Wheeling, WV/OH |
| 904 | Wichita, KS |
| 908 | Wichita Falls, TX |
| 914 | Williamsport, PA |
| 916 | Wilmington, DE/NJ/MD |
| 920 | Wilmington, NC |
| 924 | Worcester, MA |
| 926 | Yakima, WA |
| 927 | Yolo, CA |
| 928 | York, PA |
| 932 | Youngstown-Warren, OH-PA |
| 934 | Yuba City, CA |
| 936 | Yuma, AZ |
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
METROUS indicates the household's census metropolitan area in the United States from 1970 to present. METROUS is harmonized by name and does not account for boundary changes over time.
Metropolitan areas are counties or combinations of counties centering on a substantial urban area. METROUS identifies the household's metropolitan area of enumeration if the household was located in a metropolitan area large enough to meet confidentiality requirements.
The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Metropolitan areas are counties or combinations of counties centering on a substantial urban area. METROUS identifies the household's metropolitan area of enumeration if the household was located in a metropolitan area large enough to meet confidentiality requirements.
The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
concept
Concept
| Name | Vocabulary |
|---|---|
| Geography: M-Z Variables -- HOUSEHOLD | IPUMS |