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
2000
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 85,686 77,390 to 93,982 24.4 22.1 to 26.8
Bernalillo 16,687 12,570 to 20,804 17.4 13.1 to 21.7
Catron 190 132 to 248 37.1 25.9 to 48.4
Chaves 3,546 2,669 to 4,423 29.4 22.2 to 36.7
Cibola 1,676 1,219 to 2,133 31.2 22.7 to 39.8
Colfax 573 426 to 720 23.5 17.5 to 29.5
Curry 2,488 1,868 to 3,108 27.4 20.6 to 34.2
De Baca 110 80 to 140 30.6 22.2 to 39.1
Dona Ana 11,853 8,986 to 14,720 33.1 25.1 to 41.1
Eddy 2,405 1,817 to 2,993 23.9 18.1 to 29.8
Grant 1,335 1,004 to 1,666 24.2 18.2 to 30.2
Guadalupe 215 156 to 274 26.7 19.4 to 34.1
Harding 23 14 to 32 18.7 11.6 to 25.7
Hidalgo 439 322 to 556 36.5 26.7 to 46.3
Lea 2,858 2,149 to 3,567 25.3 19.0 to 31.5
Lincoln 891 659 to 1,123 28.3 21.0 to 35.7
Los Alamos 83 55 to 111 2.5 1.6 to 3.3
Luna 2,344 1,728 to 2,960 45.4 33.4 to 57.3
McKinley 7,740 5,362 to 10,118 38.6 26.8 to 50.5
Mora 293 212 to 374 31.4 22.8 to 40.1
Otero 3,554 2,609 to 4,499 28.2 20.7 to 35.7
Quay 538 400 to 676 31.7 23.5 to 39.8
Rio Arriba 1,962 1,471 to 2,453 24.0 18.0 to 30.0
Roosevelt 1,044 785 to 1,303 30.9 23.2 to 38.5
Sandoval 2,786 2,060 to 3,512 14.4 10.7 to 18.2
San Juan 7,048 5,096 to 9,000 27.0 19.6 to 34.5
San Miguel 1,611 1,184 to 2,038 28.5 21.0 to 36.1
Santa Fe 3,748 2,740 to 4,756 17.2 12.6 to 21.9
Sierra 651 474 to 828 34.6 25.2 to 44.0
Socorro 1,361 983 to 1,739 39.1 28.2 to 49.9
Taos 1,509 1,136 to 1,882 29.0 21.8 to 36.1
Torrance 990 680 to 1,300 27.0 18.5 to 35.4
Union 217 156 to 278 27.0 19.5 to 34.5
Valencia 2,918 2,201 to 3,635 21.0 15.8 to 26.1
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