Persons Below Poverty by New Mexico County


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Persons Below the Poverty Level
New Mexico Counties
2000
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 309,103 293,536 to 324,669 17.3 16.4 to 18.1
Bernalillo 71,582 57,291 to 85,873 13.0 10.4 to 15.5
Catron 769 599 to 939 22.3 17.4 to 27.3
Chaves 12,565 9,932 to 15,198 21.3 16.8 to 25.7
Cibola 5,443 4,238 to 6,649 22.1 17.2 to 27.0
Colfax 2,158 1,697 to 2,618 15.8 12.4 to 19.1
Curry 8,254 6,502 to 10,005 19.0 15.0 to 23.0
De Baca 424 330 to 518 20.6 16.0 to 25.1
Dona Ana 40,315 32,196 to 48,434 23.6 18.8 to 28.3
Eddy 9,008 7,166 to 10,849 18.0 14.3 to 21.7
Grant 5,495 4,365 to 6,625 18.3 14.5 to 22.1
Guadalupe 891 695 to 1,087 21.8 17.0 to 26.6
Harding 115 88 to 141 14.7 11.2 to 18.1
Hidalgo 1,355 1,058 to 1,652 25.2 19.6 to 30.7
Lea 9,652 7,642 to 11,663 18.2 14.4 to 22.0
Lincoln 3,394 2,613 to 4,175 17.5 13.5 to 21.6
Los Alamos 480 355 to 606 2.7 2.0 to 3.4
Luna 6,953 5,415 to 8,492 28.2 22.0 to 34.5
McKinley 21,644 16,147 to 27,142 29.1 21.7 to 36.5
Mora 1,250 970 to 1,530 24.2 18.8 to 29.6
Otero 9,967 7,902 to 12,032 16.6 13.2 to 20.1
Quay 2,160 1,700 to 2,621 22.4 17.6 to 27.2
Rio Arriba 7,460 5,889 to 9,032 18.3 14.5 to 22.2
Roosevelt 3,924 3,117 to 4,730 22.7 18.0 to 27.3
Sandoval 10,872 8,590 to 13,154 11.8 9.3 to 14.3
San Juan 21,479 16,765 to 26,193 18.7 14.6 to 22.8
San Miguel 6,774 5,264 to 8,283 23.7 18.4 to 29.0
Santa Fe 15,880 12,375 to 19,386 12.3 9.6 to 15.1
Sierra 2,852 2,176 to 3,529 22.2 16.9 to 27.5
Socorro 4,845 3,779 to 5,911 27.9 21.8 to 34.0
Taos 6,461 5,137 to 7,784 21.5 17.1 to 25.9
Torrance 3,639 2,740 to 4,539 22.5 17.0 to 28.1
Union 677 526 to 828 17.0 13.2 to 20.8
Valencia 10,364 8,218 to 12,511 15.9 12.6 to 19.2
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