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|
Incompletely Identified Metropolitan Areas: 1980-present
Go Back to the Geographic Tools page
Many metropolitan areas are only partially identified in the 1980-2000 census samples and in the ACS and PRCS. For areas followed by a percentage figure below, a portion of the metropolitan area could not be identified, given the geographic information available in that year's PUMS files. People who lived in the non-identified parts of metropolitan areas were coded as "not identifiable" in the METAREA and METRO variables. For this reason, population estimates of these metropolitan areas generated using the IPUMS samples will be low by approximately the proportions indicated in the table below.
Users should not assume that the identifiable portion of a metropolitan area is a random subset of the entire metropolitan area. The specific parts of each metropolitan area that were uncodable can be determined by consulting the PUMA, Super-PUMA, and County Group contents files on the "Geographic Tools" page. The User Caution note at the bottom of the METAREA variable description explains this issue in more detail.
The lowest level of geography in the ACS and PRCS is the PUMA, which has the exact same boundaries as the PUMAs identified in the 2000 5% census sample. Some metropolitan area definitions have changed since 2000, but the Census Bureau has not associated ACS/PRCS PUMAs with more recent metropolitan area definitions. For this reason, the versions of METAREA in the ACS/PRCS are based on metropolitan boundaries from 2000.
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Abilene, TX |
40 |
|
|
|
|
|
20% |
| Aguadilla, PR |
60 |
|
|
|
23% |
|
|
| Akron, OH |
80 |
|
|
|
|
|
|
| Albany, GA |
120 |
|
|
|
|
|
|
| Albany-Schenectady-Troy, NY |
160 |
9% |
9% |
21% |
11% |
5% |
7% |
| Albuquerque, NM |
200 |
|
|
22% |
|
|
|
| Alexandria, LA |
220 |
|
|
|
|
|
11% |
| Allentown-Bethlehem-Easton, PA/NJ |
240 |
|
|
|
22% |
|
22% |
| Altoona, PA |
280 |
|
|
|
|
|
|
| Amarillo, TX |
320 |
|
|
|
|
|
|
| Anchorage, AK |
380 |
|
|
|
|
|
|
| Anderson, IN |
400 |
|
|
|
|
|
|
| Ann Arbor, MI |
440 |
17% |
17% |
|
|
|
|
| Anniston, AL |
450 |
|
|
|
|
|
|
| Appleton-Oskosh-Neenah, WI |
460 |
|
|
|
|
|
|
| Arecibo, PR |
470 |
43% |
43% |
|
29% |
|
25% |
| Asheville, NC |
480 |
|
|
|
|
|
|
| Athens, GA |
500 |
|
|
|
|
|
|
| Atlanta, GA |
520 |
3% |
3% |
6% |
14% |
|
12% |
| Atlantic City, NJ |
560 |
|
|
|
30% |
30% |
|
| Augusta-Aiken, GA-SC |
600 |
5% |
5% |
|
|
|
12% |
| Austin, TX |
640 |
7% |
7% |
27% |
8% |
|
|
| Bakersfield, CA |
680 |
|
|
|
|
|
|
| Baltimore, MD |
720 |
2% |
2% |
12% |
1% |
8% |
|
| Bangor, ME |
730 |
|
|
|
|
|
|
| Barnstable-Yarmouth, MA |
740 |
11% |
11% |
|
|
|
|
| Baton Rouge, LA |
760 |
|
|
|
4% |
|
4% |
| Battle Creek, MI |
780 |
|
|
|
|
|
24% |
| Beaumont-Port Arthur-Orange, TX |
840 |
|
|
|
|
|
|
| Bellingham, WA |
860 |
|
|
|
|
|
|
| Benton Harbor, MI |
870 |
|
|
|
|
|
|
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Billings, MT |
880 |
|
|
|
|
|
|
| Biloxi-Gulfport, MS |
920 |
12% |
12% |
|
|
|
18% |
| Binghamton, NY |
960 |
|
|
|
20% |
|
29% |
| Birmingham, AL |
1000 |
13% |
13% |
39% |
12% |
|
8% |
| Bismarck, ND |
1010 |
|
|
|
|
|
|
| Bloomington, IN |
1020 |
|
|
|
|
|
|
| Bloomington-Normal, IL |
1040 |
|
|
|
|
|
|
| Boise City, ID |
1080 |
|
|
|
|
|
|
| Boston, MA |
1120 |
|
|
16% |
7% |
2% |
15% |
| Lawrence-Haverhill, MA/NH |
1121 |
33% |
33% |
|
69% |
28% |
37% |
| Lowell, MA/NH |
1122 |
4% |
4% |
|
3% |
3% |
55% |
| Salem-Gloucester, MA |
1123 |
|
|
|
2% |
|
|
| Bradenton, FL |
1140 |
|
|
|
|
|
|
| Bremerton, WA |
1150 |
|
|
|
|
|
|
| Bridgeport, CT |
1160 |
25% |
25% |
|
42% |
|
37% |
| Brockton, MA |
1200 |
|
|
|
44% |
|
|
| Brownsville - Harlingen-San Benito, TX |
1240 |
|
|
|
|
|
|
| Bryan-College Station, TX |
1260 |
|
|
|
|
|
|
| Buffalo-Niagara Falls, NY |
1280 |
|
|
|
|
|
|
| Niagara Falls, NY |
1281 |
|
|
|
|
|
|
| Burlington, NC |
1300 |
|
|
|
|
|
|
| Burlington, VT |
1310 |
|
|
|
|
|
|
| Canton, OH |
1320 |
|
|
|
7% |
|
6% |
| Caguas, PR |
1330 |
|
|
|
56% |
|
23% |
| Casper, WY |
1350 |
|
|
|
|
|
|
| Cedar Rapids, IA |
1360 |
|
|
|
|
|
|
| Champaign-Urbana-Rantoul, IL |
1400 |
|
|
|
|
|
|
| Charleston-N.Charleston,SC |
1440 |
18% |
18% |
18% |
|
|
|
| Charleston, WV |
1480 |
|
|
|
|
|
59% |
| Charlotte-Gastonia-Rock Hill, SC |
1520 |
|
|
54% |
12% |
|
|
| Charlottesville, VA |
1540 |
|
|
|
|
|
|
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Chattanooga, TN/GA |
1560 |
6% |
6% |
|
8% |
|
8% |
| Cheyenne, WY |
1580 |
|
|
|
|
|
|
| Chicago-Gary-Lake IL |
1600 |
1% |
1% |
1% |
|
|
|
| Aurora-Elgin, IL |
1601 |
|
|
|
11% |
|
|
| Gary-Hammond-East Chicago, IN |
1602 |
|
|
23% |
|
|
|
| Joliet, IL |
1603 |
|
|
|
|
|
|
| Lake County, IL |
1604 |
|
|
|
|
|
|
| Chico, CA |
1620 |
|
|
|
|
|
|
| Cincinnati, OH/KY/IN |
1640 |
10% |
10% |
49% |
12% |
|
12% |
| Clarksville- Hopkinsville, TN/KY |
1660 |
35% |
35% |
|
41% |
|
|
| Cleveland, OH |
1680 |
|
|
|
4% |
8% |
|
| Colorado Springs, CO |
1720 |
|
|
20% |
|
|
3% |
| Columbia, MO |
1740 |
|
|
|
|
|
|
| Columbia, SC |
1760 |
|
|
|
|
|
|
| Columbus, GA/AL |
1800 |
32% |
32% |
|
|
|
29% |
| Columbus, OH |
1840 |
6% |
6% |
31% |
4% |
|
|
| Corpus Christi, TX |
1880 |
|
|
|
17% |
|
18% |
| Cumberland, MD/WV |
1900 |
|
|
|
|
74% |
|
| Dallas-Fort Worth, TX |
1920 |
4% |
4% |
11% |
|
|
|
| Fort Worth-Arlington, TX |
1921 |
2% |
2% |
10% |
12% |
|
|
| Danbury, CT |
1930 |
16% |
16% |
|
29% |
|
|
| Danville, VA |
1950 |
|
|
|
|
|
|
| Davenport, IA-Rock Island-Moline, IL |
1960 |
26% |
26% |
|
15% |
|
15% |
| Dayton-Springfield, OH |
2000 |
|
|
41% |
10% |
|
|
| Daytona Beach, FL |
2020 |
10% |
10% |
|
|
|
|
| Decatur, AL |
2030 |
|
|
|
|
|
|
| Decatur, IL |
2040 |
|
|
|
|
|
|
| Denver, CO |
2080 |
6% |
6% |
6% |
4% |
|
2% |
| Boulder-Longmont, CO |
2081 |
24% |
24% |
|
|
|
|
| Des Moines, IA |
2120 |
18% |
18% |
|
17% |
|
10% |
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Detroit, MI |
2160 |
|
|
6% |
2% |
|
2% |
| Dothan, AL |
2180 |
|
|
|
|
|
|
| Dubuque, IA |
2200 |
|
|
|
|
|
|
| Duluth-Superior, MN/WI |
2240 |
18% |
18% |
|
17% |
|
17% |
| Eau Claire, WI |
2290 |
|
|
|
|
|
|
| El Paso, TX |
2310 |
|
|
|
|
|
|
| Elkhart-Goshen, IN |
2320 |
|
|
|
|
|
|
| Elmira, NY |
2330 |
|
|
|
|
|
|
| Enid, OK |
2340 |
|
|
|
|
|
|
| Erie, PA |
2360 |
|
|
|
|
|
|
| Eugene-Springfield, OR |
2400 |
|
|
|
|
|
|
| Evansville, IN/KY |
2440 |
15% |
15% |
|
|
|
46% |
| Fargo-Moorhead, ND/MN |
2520 |
29% |
29% |
|
|
|
|
| Fayetteville, NC |
2560 |
|
|
|
|
|
|
| Fayetteville-Springdale, AR |
2580 |
|
|
|
|
|
44% |
| Fitchburg-Leominster, MA |
2600 |
|
|
|
|
|
|
| Flagstaff, AZ |
2620 |
5% |
5% |
|
|
|
|
| Flint, MI |
2640 |
45% |
45% |
|
|
41% |
14% |
| Florence, AL |
2650 |
|
|
|
|
|
|
| Florence, SC |
2660 |
|
|
|
|
|
|
| Fort Collins-Loveland, CO |
2670 |
5% |
5% |
|
|
|
|
| Fort Lauderdale-Hollywood-Pompano Beach, FL |
2680 |
|
|
|
|
|
|
| Fort Myers-Cape Coral, FL |
2700 |
|
|
|
|
|
|
| Fort Pierce, FL |
2710 |
|
|
|
|
|
|
| Fort Smith, AR/OK |
2720 |
19% |
19% |
|
|
|
|
| Fort Walton Beach, FL |
2750 |
|
|
|
|
|
|
| Fort Wayne, IN |
2760 |
8% |
8% |
8% |
17% |
|
23% |
| Fresno, CA |
2840 |
|
|
13% |
|
|
|
| Gadsden, AL |
2880 |
|
|
|
|
|
|
| Gainesville, FL |
2900 |
|
|
|
11% |
11% |
|
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Galveston-Texas City, TX |
2920 |
|
|
|
|
|
|
| Glens Falls, NY |
2970 |
|
|
|
|
|
|
| Grand Forks, ND/MN |
2990 |
|
|
|
|
|
|
| Grand Rapids, MI |
3000 |
10% |
10% |
10% |
|
|
|
| Grand Junction, CO |
3010 |
3% |
3% |
|
|
|
|
| Great Falls, MT |
3040 |
|
|
|
|
|
|
| Greeley, CO |
3060 |
|
|
|
|
|
|
| Green Bay, WI |
3080 |
|
|
|
|
|
|
| Greensboro-Winston Salem-High Point, NC |
3120 |
|
|
|
10% |
|
19% |
| Greenville-Spartenburg-Anderson, SC |
3160 |
17% |
17% |
|
15% |
15% |
14% |
| Anderson, SC |
3161 |
|
|
|
|
|
|
| Hagerstown, MD |
3180 |
|
|
|
|
|
|
| Hamilton-Middleton, OH |
3200 |
|
|
|
|
|
|
| Harrisburg-Lebanon-Carlisle, PA |
3240 |
|
|
|
|
|
|
| Hartford-Bristol-Middleton-New Britian, CT |
3280 |
40% |
40% |
62% |
36% |
4% |
22% |
| Bristol, CT |
3281 |
|
|
|
|
|
|
| Middletown, CT |
3282 |
|
|
|
|
|
|
| New Britain, CT |
3283 |
|
|
|
26% |
|
26% |
| Hickory-Morgantown, NC |
3290 |
|
|
|
47% |
|
19% |
| Honolulu, HI |
3320 |
|
|
33% |
|
|
|
| Houma-Thibodoux, LA |
3350 |
46% |
46% |
|
|
|
|
| Houston-Brazoria, TX |
3360 |
|
|
|
2% |
|
6% |
| Brazoria, TX |
3361 |
|
|
|
|
|
|
| Huntington-Ashland, WV/KY/OH |
3400 |
|
|
|
|
|
66% |
| Huntsville, AL |
3440 |
|
|
|
|
|
|
| Indianapolis, IN |
3480 |
|
|
18% |
|
4% |
|
| Iowa City, IA |
3500 |
|
|
|
|
|
|
| Jackson, MI |
3520 |
|
|
|
|
|
|
| Jackson, MS |
3560 |
|
|
|
36% |
|
22% |
| Jacksonville, FL |
3590 |
|
|
|
26% |
26% |
7% |
| Jacksonville, NC |
3600 |
|
|
|
|
|
|
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Jamestown-Dunkirk, NY |
3610 |
|
|
|
|
|
|
| Janesville-Beloit, WI |
3620 |
|
|
|
|
|
|
| Johnson City-Kingsport-Bristol, TN/VA |
3660 |
35% |
35% |
|
34% |
1% |
67% |
| Johnstown, PA |
3680 |
|
|
|
|
|
31% |
| Joplin, MO |
3710 |
|
|
|
|
|
|
| Kalamazoo-Portage, MI |
3720 |
|
|
|
|
46% |
24% |
| Kankakee, IL |
3740 |
|
|
|
|
|
|
| Kansas City, MO-KS |
3760 |
5% |
5% |
14% |
6% |
6% |
|
| Kenosha, WI |
3800 |
|
|
|
|
|
|
| Killeen-Temple, TX |
3810 |
|
|
|
25% |
|
|
| Knoxville, TN |
3840 |
16% |
16% |
31% |
|
|
|
| Kokomo, IN |
3850 |
|
|
|
|
|
|
| LaCrosse, WI |
3870 |
16% |
16% |
|
|
|
|
| Lafayette, LA |
3880 |
35% |
35% |
|
21% |
|
|
| Lafayette-W. Lafayette,IN |
3920 |
|
|
|
|
|
|
| Lake Charles, LA |
3960 |
|
|
|
|
|
32% |
| Lakeland-Winterhaven, FL |
3980 |
|
|
|
|
|
|
| Lancaster, PA |
4000 |
|
|
|
|
|
|
| Lansing-E. Lansing, MI |
4040 |
|
|
|
|
|
11% |
| Laredo, TX |
4080 |
|
|
|
|
|
|
| Las Cruces, NM |
4100 |
|
|
|
|
|
|
| Las Vegas, NV |
4120 |
12% |
12% |
12% |
|
|
|
| Lawrence, KS |
4150 |
|
|
|
|
|
|
| Lawton, OK |
4200 |
|
|
|
|
|
|
| Lewiston-Auburn, ME |
4240 |
|
|
|
|
|
|
| Lexington-Fayette, KY |
4280 |
46% |
46% |
|
35% |
|
36% |
| Lima, OH |
4320 |
|
|
|
29% |
|
|
| Lincoln, NE |
4360 |
|
|
|
|
|
|
| Little Rock-North Little Rock, AR |
4400 |
|
|
|
19% |
|
|
| Longview-Marshall, TX |
4420 |
17% |
17% |
|
|
|
|
| Lorain-Elyria, OH |
4440 |
|
|
|
|
|
|
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Los Angeles-Long Beach, CA |
4480 |
|
|
|
|
|
|
| Anaheim-Santa Ana-Garden Grove, CA |
4481 |
|
|
|
|
|
|
| Louisville, KY/IN |
4520 |
10% |
10% |
32% |
14% |
|
24% |
| Lubbock, TX |
4600 |
|
|
|
|
|
|
| Lynchburg, VA |
4640 |
|
|
|
|
|
|
| Macon-Warner Robins, GA |
4680 |
|
|
|
47% |
|
41% |
| Madison, WI |
4720 |
|
|
|
|
|
|
| Manchester, NH |
4760 |
46% |
46% |
|
26% |
29% |
|
| Mansfield, OH |
4800 |
27% |
27% |
|
|
|
|
| Mayaguez, PR |
4840 |
|
|
|
53% |
|
|
| McAllen-Edinburg-Pharr-Mission, TX |
4880 |
|
|
|
|
|
|
| Medford, OR |
4890 |
|
|
|
|
|
|
| Melbourne-Titusville-Cocoa-Palm Bay, FL |
4900 |
|
|
|
|
|
|
| Memphis, TN/AR/MS |
4920 |
12% |
12% |
54% |
16% |
|
15% |
| Merced, CA |
4940 |
|
|
|
|
|
|
| Miami-Hialeah, FL |
5000 |
1% |
1% |
16% |
|
|
9% |
| Midland, TX |
5040 |
|
|
|
|
|
|
| Milwaukee, WI |
5080 |
|
|
|
|
|
|
| Minneapolis-St. Paul, MN |
5120 |
3% |
3% |
11% |
7% |
|
3% |
| Mobile, AL |
5160 |
|
|
|
21% |
|
18% |
| Modesto, CA |
5170 |
|
|
|
|
|
|
| Monmouth-Ocean, NJ |
5190 |
|
|
|
|
|
|
| Monroe, LA |
5200 |
|
|
|
|
|
|
| Montgomery, AL |
5240 |
|
|
|
29% |
|
|
| Muncie, IN |
5280 |
|
|
|
|
|
|
| Muskegon-Norton Shores-Muskegon Heights, MI |
5320 |
|
|
|
|
|
|
| Naples, FL |
5340 |
|
|
|
|
|
|
| Nashua, NH |
5350 |
39% |
39% |
|
44% |
|
|
| Nashville, TN |
5360 |
|
|
29% |
|
|
|
| New Bedford, MA |
5400 |
|
|
|
34% |
|
|
| New Haven-Meriden, CT |
5480 |
34% |
34% |
|
56% |
26% |
41% |
| New London-Norwich, CT/RI |
5520 |
|
|
|
54% |
60% |
|
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| New Orleans, LA |
5560 |
7% |
7% |
30% |
24% |
|
7% |
| New York, NY |
5600 |
|
|
7% |
1% |
|
1% |
| Nassau-Suffolk, NY |
5601 |
|
|
|
|
|
|
| Bergen-Passaic, NJ |
5602 |
|
|
|
|
|
|
| Jersey City, NJ |
5603 |
|
|
|
|
|
|
| Middlesex-Somerset-Hunterdon, NJ |
5604 |
|
|
14% |
|
|
|
| Newark, NJ |
5605 |
|
|
|
7% |
|
|
| Newburgh-Middletown, NY |
5660 |
12% |
12% |
|
|
|
|
| Norfolk-VA Beach-Newport News, VA |
5720 |
1% |
1% |
1% |
13% |
|
1% |
| Norwalk, CT |
5760 |
|
|
|
|
|
12% |
| Ocala, FL |
5790 |
|
|
|
|
|
|
| Odessa, TX |
5800 |
|
|
|
|
|
|
| Oklahoma City, OK |
5880 |
17% |
17% |
53% |
9% |
|
|
| Olympia, WA |
5910 |
|
|
|
|
|
|
| Omaha, NE/IA |
5920 |
18% |
18% |
18% |
13% |
|
30% |
| Orange County, NY |
5950 |
|
|
|
|
|
|
| Orlando, FL |
5960 |
|
|
|
|
|
|
| Owensboro, KY |
5990 |
|
|
|
|
|
|
| Panama City, FL |
6010 |
|
|
|
|
|
|
| Parkersburg-Marietta,WV/OH |
6020 |
|
|
|
|
|
|
| Pascagoula-Moss Point, MS |
6030 |
|
|
|
|
|
|
| Pensacola, FL |
6080 |
|
|
|
|
|
|
| Peoria, IL |
6120 |
|
|
|
10% |
|
9% |
| Philadelphia, PA/NJ |
6160 |
|
|
4% |
|
|
|
| Phoenix, AZ |
6200 |
6% |
6% |
6% |
|
|
|
| Pine Bluff, AR |
6240 |
|
|
|
|
|
|
| Pittsburgh-Beaver Valley, PA |
6280 |
3% |
3% |
38% |
7% |
|
|
| Beaver County |
6281 |
|
|
|
|
|
|
| Pittsfield, MA |
6320 |
|
|
|
|
|
|
| Ponce, PR |
6360 |
48% |
48% |
|
19% |
|
13% |
| Portland, ME |
6400 |
1% |
1% |
|
|
1% |
|
| Portland-Vancouver, OR |
6440 |
7% |
7% |
25% |
5% |
5% |
|
| Vancouver, WA |
6441 |
|
|
|
|
|
|
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Portsmouth-Dover-Rochester, NH/ME |
6450 |
|
|
|
|
|
|
| Poughkeepsie, NY |
6460 |
|
|
|
|
|
|
| Providence-Fall River-Pawtuckett, MA |
6480 |
14% |
14% |
48% |
60% |
24% |
38% |
| Fall River, MA/RI |
6481 |
|
|
|
20% |
11% |
|
| Pawtucket-Woonsocket-Attleboro, RI-MA |
6482 |
|
|
|
67% |
34% |
|
| Provo-Orem, UT |
6520 |
|
|
|
|
|
|
| Pueblo, CO |
6560 |
5% |
5% |
|
|
|
|
| Racine, WI |
6600 |
|
|
|
|
|
|
| Raleigh-Durham, NC |
6640 |
|
|
47% |
18% |
|
15% |
| Rapid City, SD |
6660 |
|
|
|
|
|
|
| Reading, PA |
6680 |
|
|
|
|
|
|
| Redding, CA |
6690 |
|
|
|
|
|
|
| Reno, NV |
6720 |
|
|
|
47% |
|
|
| Richland-Kennewick-Pasco, WA |
6740 |
|
|
|
|
|
24% |
| Richmond-Petersburg, VA |
6760 |
|
|
41% |
15% |
|
|
| Riverside-San Bernadino,CA |
6780 |
|
|
17% |
|
|
32% |
| Roanoke, VA |
6800 |
|
|
|
46% |
|
|
| Rochester, MN |
6820 |
|
|
|
|
|
|
| Rochester, NY |
6840 |
6% |
6% |
58% |
4% |
|
28% |
| Rockford, IL |
6880 |
14% |
14% |
|
|
|
10% |
| Sacramento, CA |
6920 |
|
|
|
|
|
|
| Saginaw-Bay City-Midland, MI |
6960 |
|
|
|
19% |
|
|
| St. Cloud, MN |
6980 |
|
|
|
38% |
|
34% |
| St. Joseph, MO |
7000 |
|
|
|
|
|
|
| St. Louis, MO-IL |
7040 |
|
|
|
3% |
|
5% |
| Salem, OR |
7080 |
18% |
18% |
|
18% |
13% |
18% |
| Salinas-Sea Side-Monterey, CA |
7120 |
30% |
30% |
|
|
|
|
| Salt Lake City-Ogden, UT |
7160 |
|
|
|
32% |
|
3% |
| San Angelo, TX |
7200 |
|
|
|
|
|
|
| San Antonio, TX |
7240 |
2% |
2% |
13% |
9% |
|
8% |
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| San Diego, CA |
7320 |
|
|
|
|
|
|
| San Francisco, CA |
7360 |
|
|
14% |
|
|
|
| Oakland, CA |
7361 |
|
|
|
|
|
|
| Vallejo-Fairfield-Napa, CA |
7362 |
|
|
|
|
|
|
| San Juan, PR |
7440 |
9% |
9% |
63% |
20% |
|
|
| San Jose, CA |
7400 |
|
|
|
|
|
|
| Santa Barbara-Santa Maria-Lompoc, CA |
7470 |
|
|
|
|
|
|
| Santa Cruz, CA |
7480 |
|
|
|
|
|
|
| Santa Fe, NM |
7490 |
|
|
|
|
|
|
| Santa Rosa-Petaluma, CA |
7500 |
|
|
|
|
|
|
| Sarasota, FL |
7510 |
|
|
|
|
|
|
| Savannah, GA |
7520 |
21% |
21% |
|
11% |
|
12% |
| Scranton-Wilkes-Barre, PA |
7560 |
|
|
|
25% |
|
11% |
| Seattle-Everett, WA |
7600 |
3% |
3% |
3% |
|
|
|
| Sharon, PA |
7610 |
|
|
|
|
|
|
| Sheboygan, WI |
7620 |
|
|
|
|
|
|
| Sherman-Denison, TX |
7640 |
|
|
|
|
|
|
| Shreveport, LA |
7680 |
|
|
|
|
|
|
| Sioux City, IA/NE |
7720 |
16% |
16% |
|
|
|
14% |
| Sioux Falls, SD |
7760 |
28% |
28% |
|
|
|
|
| South Bend-Mishawaka, IN |
7800 |
|
|
|
|
|
14% |
| Spokane, WA |
7840 |
|
|
|
|
|
|
| Springfield, IL |
7880 |
45% |
45% |
|
6% |
|
6% |
| Springfield, MO |
7920 |
|
|
|
14% |
|
11% |
| Springfield-Holyoke-Chicopee, MA |
8000 |
|
|
17% |
32% |
|
2% |
| Stamford, CT |
8040 |
|
|
|
47% |
|
48% |
| State College, PA |
8050 |
|
|
|
|
|
|
| Steubenville-Weirton,OH/WV |
8080 |
|
|
|
|
|
|
| Stockton, CA |
8120 |
|
|
|
|
|
|
| Syracuse, NY |
8160 |
|
|
|
10% |
|
10% |
| Tacoma, WA |
8200 |
|
|
|
|
|
|
| Tallahassee, FL |
8240 |
|
|
|
|
45% |
7% |
Metropolitan
Area |
IPUMS
code |
ACS/
PRCS |
2000
5% data |
2000
1% data |
1990
5% data |
1990
1% data |
1980
5% data |
| Tampa-St. Petersburg-Clearwater, FL |
8280 |
|
|
|
|
|
|
| Terre Haute, IN |
8320 |
|
|
|
19% |
|
36% |
| Texarkana, TX/AR |
8360 |
|
|
|
|
|
|
| Toledo, OH/MI |
8400 |
|
|
|
6% |
|
10% |
| Topeka, KS |
8440 |
|
|
|
|
|
|
| Trenton, NJ |
8480 |
|
|
|
|
|
|
| Tucson, AZ |
8520 |
|
|
|
|
|
|
| Tulsa, OK |
8560 |
13% |
13% |
13% |
15% |
|
|
| Tuscaloosa, AL |
8600 |
|
|
|
|
|
|
| Tyler, TX |
8640 |
|
|
|
|
|
|
| Utica-Rome, NY |
8680 |
|
|
|
21% |
|
21% |
| Ventura-Oxnard-Simi Valley |
8730 |
|
|
|
|
|
|
| Victoria, TX |
8750 |
|
|
|
|
|
|
| Vineland-Milville-Bridgetown, NJ |
8760 |
|
|
|
|
|
|
| Visalia-Tulare -Porterville, CA |
8780 |
|
|
|
|
|
|
| Waco, TX |
8800 |
|
|
|
|
|
|
| Washington, DC/MD/VA |
8840 |
4% |
4% |
13% |
3% |
6% |
2% |
| Waterbury, CT |
8880 |
53% |
53% |
|
51% |
|
55% |
| Waterloo-Cedar Falls, IA |
8920 |
|
|
|
16% |
|
|
| Wausau, WI |
8940 |
|
|
|
|
|
|
| West Palm Beach-Boca Raton -Delray Beach, FL |
8960 |
|
|
|
|
|
|
| Wheeling, WV/OH |
9000 |
|
|
|
|
|
|
| Wichita, KS |
9040 |
|
|
|
17% |
|
11% |
| Wichita Falls, TX |
9080 |
6% |
6% |
|
|
|
7% |
| Williamsport, PA |
9140 |
|
|
|
|
|
|
| Wilmington, DE/NJ/MD |
9160 |
15% |
15% |
|
24% |
|
24% |
| Wilmington, NC |
9200 |
|
|
|
|
|
26% |
| Worcester, MA |
9240 |
44% |
44% |
|
37% |
|
57% |
| Yakima, WA |
9260 |
|
|
|
|
|
|
| York, PA |
9280 |
|
|
|
19% |
|
|
| Youngstown-Warren, OH-PA |
9320 |
|
|
19% |
|
|
|
| Yuba City, CA |
9340 |
|
|
|
|
|
|
| Yuma, AZ |
9360 |
|
|
|
|
|
|
|
DATA