Persons Below Poverty by New Mexico County


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Persons Below the Poverty Level
New Mexico Counties
2004
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 316,088 296,900 to 335,276 16.7 15.6 to 17.7
Bernalillo 84,378 66,790 to 101,965 14.1 11.2 to 17.1
Catron 613 464 to 761 18.0 13.7 to 22.4
Chaves 12,062 9,264 to 14,859 20.0 15.4 to 24.7
Cibola 5,368 4,064 to 6,672 20.8 15.7 to 25.8
Colfax 1,940 1,486 to 2,394 14.4 11.0 to 17.8
Curry 7,744 5,946 to 9,541 17.3 13.3 to 21.3
De Baca 313 239 to 388 16.1 12.3 to 19.9
Dona Ana 42,588 33,343 to 51,834 23.0 18.0 to 28.0
Eddy 8,368 6,470 to 10,266 16.4 12.7 to 20.2
Grant 5,237 4,055 to 6,419 17.9 13.9 to 21.9
Guadalupe 745 570 to 921 19.5 14.9 to 24.0
Harding 95 71 to 118 12.7 9.6 to 15.8
Hidalgo 1,077 823 to 1,331 21.2 16.2 to 26.2
Lea 9,678 7,533 to 11,822 17.6 13.7 to 21.5
Lincoln 3,020 2,303 to 3,738 14.5 11.1 to 17.9
Los Alamos 607 450 to 764 3.2 2.4 to 4.1
Luna 6,384 4,876 to 7,891 24.3 18.5 to 30.0
McKinley 19,591 14,934 to 24,247 27.4 20.9 to 33.9
Mora 997 761 to 1,234 19.6 14.9 to 24.2
Otero 9,427 7,302 to 11,552 15.2 11.8 to 18.6
Quay 1,831 1,416 to 2,246 20.1 15.6 to 24.7
Rio Arriba 7,354 5,702 to 9,005 18.1 14.0 to 22.1
Roosevelt 3,471 2,680 to 4,262 20.0 15.4 to 24.6
Sandoval 12,345 9,587 to 15,103 11.5 8.9 to 14.1
San Juan 20,675 16,006 to 25,343 16.5 12.8 to 20.2
San Miguel 6,126 4,685 to 7,567 21.4 16.3 to 26.4
Santa Fe 16,580 12,895 to 20,266 12.0 9.3 to 14.6
Sierra 2,564 1,928 to 3,199 20.4 15.3 to 25.4
Socorro 4,121 3,154 to 5,088 23.6 18.0 to 29.1
Taos 5,534 4,309 to 6,760 17.5 13.6 to 21.4
Torrance 3,654 2,760 to 4,548 22.4 16.9 to 27.9
Union 577 445 to 709 15.0 11.5 to 18.4
Valencia 11,025 8,551 to 13,499 16.3 12.6 to 20.0
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