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
2002
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 327,444 311,714 to 343,174 17.7 16.9 to 18.6
Bernalillo 80,234 63,549 to 96,920 14.0 11.1 to 16.9
Catron 807 613 to 1,001 23.7 18.0 to 29.4
Chaves 12,920 10,052 to 15,788 21.7 16.9 to 26.5
Cibola 5,850 4,470 to 7,230 23.0 17.5 to 28.4
Colfax 2,243 1,737 to 2,748 16.4 12.7 to 20.1
Curry 8,242 6,411 to 10,072 18.6 14.4 to 22.7
De Baca 399 307 to 492 19.7 15.2 to 24.3
Dona Ana 44,400 34,953 to 53,847 25.0 19.6 to 30.3
Eddy 9,158 7,178 to 11,138 18.0 14.1 to 21.9
Grant 5,938 4,649 to 7,227 20.2 15.8 to 24.6
Guadalupe 913 704 to 1,123 22.4 17.3 to 27.5
Harding 111 82 to 140 14.8 11.0 to 18.6
Hidalgo 1,292 997 to 1,587 25.0 19.3 to 30.7
Lea 9,944 7,788 to 12,100 18.5 14.5 to 22.5
Lincoln 3,605 2,769 to 4,442 17.9 13.7 to 22.0
Los Alamos 509 376 to 641 2.7 2.0 to 3.4
Luna 7,507 5,791 to 9,224 29.4 22.7 to 36.1
McKinley 21,766 16,339 to 27,193 30.2 22.6 to 37.7
Mora 1,214 933 to 1,496 23.3 17.9 to 28.7
Otero 10,684 8,324 to 13,043 17.4 13.6 to 21.3
Quay 2,208 1,704 to 2,711 23.4 18.1 to 28.7
Rio Arriba 7,165 5,557 to 8,774 17.7 13.7 to 21.6
Roosevelt 4,059 3,171 to 4,946 23.3 18.2 to 28.4
Sandoval 10,934 8,546 to 13,322 11.1 8.7 to 13.5
San Juan 22,152 17,114 to 27,189 18.2 14.1 to 22.4
San Miguel 6,741 5,182 to 8,300 23.5 18.1 to 29.0
Santa Fe 16,547 12,935 to 20,159 12.3 9.6 to 15.0
Sierra 3,259 2,435 to 4,084 25.3 18.9 to 31.7
Socorro 4,783 3,686 to 5,881 27.1 20.9 to 33.4
Taos 6,530 5,131 to 7,929 20.9 16.5 to 25.4
Torrance 3,904 2,915 to 4,892 24.0 17.9 to 30.0
Union 680 521 to 838 17.8 13.7 to 22.0
Valencia 10,745 8,392 to 13,098 16.1 12.6 to 19.7
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