Persons Below Poverty by New Mexico County


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Persons Below the Poverty Level
New Mexico Counties
2005
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 345,231 337,115 to 353,347 18.4 17.9 to 18.8
Bernalillo 81,184 74,225 to 88,143 13.8 12.6 to 14.9
Catron 760 603 to 916 22.5 17.8 to 27.1
Chaves 13,191 11,127 to 15,256 22.1 18.7 to 25.6
Cibola 6,139 4,986 to 7,291 24.0 19.5 to 28.5
Colfax 2,258 1,817 to 2,699 16.9 13.6 to 20.2
Curry 8,666 7,275 to 10,056 19.5 16.4 to 22.7
De Baca 369 293 to 446 19.1 15.1 to 23.0
Dona Ana 49,095 44,244 to 53,947 26.8 24.1 to 29.4
Eddy 9,814 8,152 to 11,476 19.5 16.2 to 22.8
Grant 5,689 4,672 to 6,706 19.6 16.1 to 23.1
Guadalupe 920 734 to 1,106 24.3 19.4 to 29.2
Harding 122 97 to 147 16.5 13.1 to 19.9
Hidalgo 1,354 1,086 to 1,623 26.9 21.6 to 32.2
Lea 9,150 7,670 to 10,630 16.8 14.0 to 19.5
Lincoln 3,455 2,778 to 4,131 16.7 13.4 to 20.0
Los Alamos 614 488 to 740 3.3 2.6 to 4.0
Luna 8,286 6,896 to 9,675 31.7 26.4 to 37.0
McKinley 23,965 20,302 to 27,629 33.9 28.7 to 39.0
Mora 1,158 923 to 1,393 23.0 18.3 to 27.7
Otero 10,670 8,989 to 12,351 17.4 14.6 to 20.1
Quay 1,963 1,584 to 2,343 21.8 17.5 to 26.0
Rio Arriba 8,500 7,225 to 9,775 21.1 18.0 to 24.3
Roosevelt 4,245 3,437 to 5,054 24.7 20.0 to 29.4
Sandoval 12,244 10,426 to 14,062 11.5 9.8 to 13.2
San Juan 21,722 18,284 to 25,161 17.5 14.7 to 20.2
San Miguel 7,899 6,654 to 9,144 28.1 23.7 to 32.6
Santa Fe 17,634 14,981 to 20,287 12.8 10.9 to 14.8
Sierra 3,156 2,542 to 3,770 25.3 20.4 to 30.2
Socorro 5,899 4,901 to 6,897 34.0 28.2 to 39.7
Taos 6,198 5,113 to 7,283 19.8 16.3 to 23.3
Torrance 4,181 3,385 to 4,977 25.8 20.9 to 30.7
Union 775 624 to 927 20.3 16.3 to 24.2
Valencia 13,954 11,813 to 16,096 20.8 17.6 to 24.0

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