Persons Below Poverty by New Mexico County


For a Microsoft Excel file containing these tables Click Here.

Persons Below the Poverty Level
New Mexico Counties
2003
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 330,759 314,775 to 346,744 17.7 16.8 to 18.5
Bernalillo 86,837 69,043 to 104,632 14.8 11.8 to 17.8
Catron 654 499 to 810 19.1 14.6 to 23.6
Chaves 12,737 9,846 to 15,628 21.2 16.4 to 26.1
Cibola 5,496 4,186 to 6,805 21.4 16.3 to 26.4
Colfax 2,115 1,631 to 2,598 15.6 12.1 to 19.2
Curry 8,340 6,445 to 10,235 18.7 14.5 to 23.0
De Baca 351 269 to 433 17.8 13.7 to 22.0
Dona Ana 44,388 34,945 to 53,830 24.5 19.3 to 29.8
Eddy 8,937 6,973 to 10,902 17.5 13.6 to 21.3
Grant 5,666 4,421 to 6,910 19.6 15.3 to 23.9
Guadalupe 830 637 to 1,022 21.1 16.2 to 25.9
Harding 104 78 to 130 13.3 10.0 to 16.7
Hidalgo 1,217 936 to 1,497 23.8 18.3 to 29.3
Lea 10,081 7,884 to 12,278 18.5 14.5 to 22.6
Lincoln 3,117 2,395 to 3,838 15.2 11.7 to 18.7
Los Alamos 566 418 to 714 3.0 2.2 to 3.8
Luna 6,790 5,221 to 8,359 26.2 20.2 to 32.3
McKinley 22,025 16,802 to 27,248 30.6 23.3 to 37.8
Mora 1,109 850 to 1,367 21.3 16.4 to 26.3
Otero 10,230 7,959 to 12,501 16.4 12.8 to 20.1
Quay 1,981 1,535 to 2,426 21.3 16.5 to 26.1
Rio Arriba 7,270 5,648 to 8,892 17.9 13.9 to 21.9
Roosevelt 3,718 2,895 to 4,541 21.5 16.8 to 26.3
Sandoval 12,164 9,494 to 14,834 11.9 9.3 to 14.5
San Juan 22,638 17,596 to 27,680 18.4 14.3 to 22.5
San Miguel 6,231 4,789 to 7,672 21.8 16.7 to 26.8
Santa Fe 16,829 13,153 to 20,505 12.3 9.6 to 15.0
Sierra 2,695 2,032 to 3,358 21.2 16.0 to 26.4
Socorro 4,389 3,378 to 5,400 25.2 19.4 to 31.0
Taos 6,100 4,785 to 7,415 19.5 15.3 to 23.7
Torrance 3,496 2,651 to 4,341 21.5 16.3 to 26.7
Union 595 460 to 731 15.6 12.0 to 19.1
Valencia 11,065 8,623 to 13,508 16.6 12.9 to 20.2
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