Persons Under 18 Years of Age Below Poverty by New Mexico County


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Persons Under 18 Years of Age Below the Poverty Level
New Mexico Counties
2002
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 126,361 117,491 to 135,232 25.2 23.5 to 27.0
Bernalillo 28,453 21,851 to 35,056 19.7 15.2 to 24.3
Catron 216 154 to 279 34.2 24.3 to 44.2
Chaves 5,111 3,884 to 6,338 30.8 23.4 to 38.1
Cibola 2,104 1,544 to 2,665 27.3 20.1 to 34.6
Colfax 787 594 to 980 24.6 18.6 to 30.7
Curry 3,562 2,695 to 4,428 26.4 19.9 to 32.8
De Baca 119 88 to 151 27.6 20.3 to 35.0
Dona Ana 18,134 13,900 to 22,367 34.9 26.7 to 43.0
Eddy 3,586 2,738 to 4,434 25.5 19.4 to 31.5
Grant 2,170 1,654 to 2,686 29.8 22.8 to 36.9
Guadalupe 271 199 to 344 26.6 19.5 to 33.7
Harding 18 12 to 24 14.8 9.8 to 19.7
Hidalgo 506 378 to 635 33.6 25.1 to 42.2
Lea 3,898 2,968 to 4,828 24.4 18.6 to 30.3
Lincoln 1,178 888 to 1,468 27.1 20.5 to 33.8
Los Alamos 115 82 to 149 2.6 1.8 to 3.3
Luna 3,072 2,304 to 3,840 41.9 31.4 to 52.4
McKinley 11,649 8,552 to 14,746 44.3 32.5 to 56.1
Mora 359 269 to 449 28.9 21.7 to 36.2
Otero 4,190 3,098 to 5,282 23.8 17.6 to 30.0
Quay 718 539 to 896 33.1 24.9 to 41.3
Rio Arriba 2,584 1,953 to 3,214 23.0 17.4 to 28.6
Roosevelt 1,490 1,128 to 1,852 30.2 22.9 to 37.5
Sandoval 4,091 3,109 to 5,073 14.9 11.3 to 18.4
San Juan 10,010 7,376 to 12,643 26.7 19.7 to 33.7
San Miguel 2,170 1,628 to 2,712 29.5 22.1 to 36.9
Santa Fe 5,070 3,848 to 6,291 16.3 12.4 to 20.3
Sierra 880 652 to 1,109 35.5 26.3 to 44.7
Socorro 1,734 1,286 to 2,182 36.0 26.7 to 45.3
Taos 2,016 1,540 to 2,492 27.9 21.3 to 34.5
Torrance 1,356 978 to 1,734 28.7 20.7 to 36.7
Union 229 169 to 290 24.5 18.1 to 31.0
Valencia 4,515 3,436 to 5,594 23.4 17.8 to 29.0
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