Persons Below Poverty by New Mexico County


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Persons Below the Poverty Level
New Mexico Counties
2001
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 326,653 311,872 to 341,434 18.0 17.2 to 18.8
Bernalillo 75,708 60,400 to 91,015 13.5 10.7 to 16.2
Catron 857 652 to 1,061 24.8 18.9 to 30.7
Chaves 12,908 10,138 to 15,678 22.0 17.3 to 26.7
Cibola 6,066 4,672 to 7,461 24.3 18.7 to 29.8
Colfax 2,375 1,855 to 2,895 17.3 13.5 to 21.1
Curry 8,441 6,624 to 10,258 19.4 15.2 to 23.6
De Baca 445 343 to 546 21.6 16.7 to 26.6
Dona Ana 43,823 34,784 to 52,863 25.3 20.1 to 30.5
Eddy 9,152 7,237 to 11,068 18.2 14.4 to 22.0
Grant 6,005 4,743 to 7,267 20.3 16.0 to 24.5
Guadalupe 1,049 813 to 1,285 26.0 20.2 to 31.8
Harding 132 100 to 164 17.8 13.5 to 22.1
Hidalgo 1,428 1,113 to 1,743 27.3 21.3 to 33.3
Lea 9,843 7,769 to 11,917 18.4 14.5 to 22.2
Lincoln 3,655 2,832 to 4,478 18.8 14.6 to 23.1
Los Alamos 483 357 to 610 2.7 2.0 to 3.4
Luna 7,863 6,121 to 9,605 31.6 24.6 to 38.7
McKinley 22,886 17,249 to 28,523 31.5 23.7 to 39.2
Mora 1,338 1,034 to 1,642 25.8 19.9 to 31.6
Otero 11,027 8,684 to 13,369 18.2 14.4 to 22.1
Quay 2,350 1,832 to 2,868 24.8 19.4 to 30.3
Rio Arriba 7,410 5,805 to 9,014 18.3 14.3 to 22.2
Roosevelt 4,153 3,273 to 5,033 24.1 19.0 to 29.2
Sandoval 10,924 8,597 to 13,251 11.5 9.1 to 14.0
San Juan 22,404 17,425 to 27,384 19.0 14.8 to 23.2
San Miguel 7,045 5,465 to 8,624 24.7 19.1 to 30.2
Santa Fe 16,327 12,876 to 19,779 12.4 9.8 to 15.0
Sierra 3,226 2,427 to 4,026 25.5 19.2 to 31.8
Socorro 5,065 3,927 to 6,202 29.2 22.7 to 35.8
Taos 6,821 5,402 to 8,239 22.3 17.7 to 27.0
Torrance 3,811 2,874 to 4,747 23.8 18.0 to 29.7
Union 745 578 to 911 19.0 14.7 to 23.2
Valencia 10,889 8,580 to 13,198 16.6 13.1 to 20.1
Note:  These are estimates modeled from the relation between poverty and tax and program data
for the states and a subset of counties using estmimates of poverty from the Current Population
Survey (CPS) Annual Social and Economic Supplement (ASEC).  The modeled relations are used
to obtain estimates for all states and counties.  Estimating measures of uncertainty is an integral
part of the overall process.  Estimated standard errors provide confidence intervals around each
estimate that can be used to evaluate the quality of the estimate.
Source: U.S. Census Bureau, Data Integration Division, Small Area Estimates Branch,
Small Area Income and Poverty Estimates (SAIPE).
Table prepared by:  Bureau of Business and Economic Research, University of New Mexico.


Bureau of Business & Economic Research, UNM / bber@unm.edu
Last Revised: 1/14/08