Related Children Ages 5 to 17 in Families in Poverty
by New Mexico County


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Related Children Ages 5 to 17 in Families in Poverty
New Mexico Counties
2005
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 82,630 78,815 to 86,445 24.0 22.9 to 25.1
Bernalillo 17,735 15,168 to 20,302 17.8 15.2 to 20.4
Catron 171 128 to 214 39.0 29.1 to 48.8
Chaves 3,311 2,599 to 4,023 29.4 23.1 to 35.8
Cibola 1,556 1,186 to 1,926 29.8 22.7 to 36.9
Colfax 509 387 to 631 24.1 18.3 to 29.8
Curry 2,478 1,934 to 3,022 27.2 21.3 to 33.2
De Baca 71 53 to 89 25.4 19.0 to 31.7
Dona Ana 12,675 10,727 to 14,623 35.5 30.0 to 41.0
Eddy 2,275 1,790 to 2,760 23.9 18.8 to 28.9
Grant 1,291 978 to 1,604 26.6 20.1 to 33.0
Guadalupe 182 138 to 226 29.1 22.1 to 36.2
Harding 18 13 to 23 19.9 14.7 to 25.0
Hidalgo 345 261 to 429 33.2 25.1 to 41.2
Lea 2,285 1,807 to 2,763 21.1 16.7 to 25.5
Lincoln 784 594 to 974 25.8 19.5 to 32.0
Los Alamos 74 55 to 93 2.4 1.8 to 3.0
Luna 2,206 1,713 to 2,699 42.7 33.2 to 52.3
McKinley 7,118 5,801 to 8,435 39.9 32.5 to 47.3
Mora 232 174 to 290 29.1 21.9 to 36.3
Otero 2,844 2,220 to 3,468 23.7 18.5 to 28.9
Quay 454 343 to 565 31.9 24.1 to 39.7
Rio Arriba 1,744 1,377 to 2,111 24.0 18.9 to 29.0
Roosevelt 1,025 785 to 1,265 32.2 24.6 to 39.7
Sandoval 2,579 2,059 to 3,099 12.7 10.1 to 15.2
San Juan 5,643 4,380 to 6,906 21.6 16.8 to 26.5
San Miguel 1,555 1,217 to 1,893 31.4 24.6 to 38.2
Santa Fe 3,652 2,847 to 4,457 16.9 13.2 to 20.7
Sierra 665 505 to 825 38.2 29.0 to 47.4
Socorro 1,261 981 to 1,541 39.6 30.8 to 48.4
Taos 1,291 998 to 1,584 27.3 21.1 to 33.5
Torrance 1,038 804 to 1,272 31.6 24.5 to 38.8
Union 169 128 to 210 25.7 19.4 to 32.0
Valencia 3,394 2,698 to 4,090 25.7 20.4 to 30.9
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