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Incidence Rates Table

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Incidence Rate Report for New Mexico by County

All Cancer Sites, 2009-2013

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
sort sort alphabetically by nameascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by rateascending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
New Mexico 3,8 379.1 (375.5, 382.7) 8,757 falling falling trend -2.8 (-4.2, -1.4)
US (SEER+NPCR) 1,10 448.4 (448.1, 448.7) 1,540,559 falling falling trend -1.9 (-2.6, -1.2)
Harding County 7,8 574.6 (371.9, 873.8) 8 rising rising trend 4.1 (1.8, 6.4)
Quay County 7,8 421.5 (371.2, 477.4) 57 stable stable trend 1.1 (0.0, 2.1)
Luna County 7,8 410.9 (379.9, 443.9) 142 stable stable trend 0.3 (-0.5, 1.1)
Sierra County 7,8 408.0 (366.9, 453.5) 96 stable stable trend -0.4 (-1.1, 0.4)
Valencia County 7,8 396.6 (377.4, 416.5) 338 falling falling trend -0.7 (-1.2, -0.3)
Bernalillo County 7,8 396.1 (389.4, 402.8) 2,828 stable stable trend -2.8 (-5.7, 0.1)
Otero County 7,8 386.8 (366.7, 407.7) 287 stable stable trend -0.1 (-0.5, 0.4)
Los Alamos County 7,8 386.7 (350.5, 425.9) 90 falling falling trend -1.5 (-2.1, -0.9)
Sandoval County 7,8 386.7 (372.2, 401.5) 573 falling falling trend -1.9 (-2.8, -1.0)
De Baca County 7,8 384.1 (283.1, 513.6) 12 stable stable trend 0.7 (-1.2, 2.7)
Cibola County 7,8 380.3 (348.9, 413.8) 112 stable stable trend -0.1 (-0.8, 0.5)
Dona Ana County 7,8 379.9 (368.2, 391.8) 819 stable stable trend 0.5 (-1.0, 1.9)
Torrance County 7,8 378.9 (339.8, 421.4) 76 stable stable trend -0.2 (-1.1, 0.6)
Colfax County 7,8 377.2 (337.9, 420.3) 76 rising rising trend 4.5 (1.8, 7.2)
Grant County 7,8 376.1 (349.5, 404.4) 171 stable stable trend -0.6 (-1.5, 0.3)
Socorro County 7,8 370.2 (333.4, 410.2) 78 stable stable trend 0.1 (-0.6, 0.8)
Eddy County 7,8 368.9 (347.3, 391.4) 227 stable stable trend -5.1 (-10.3, 0.4)
Mora County 7,8 367.9 (304.0, 443.0) 26 stable stable trend 0.0 (-1.4, 1.5)
Lincoln County 7,8 363.3 (331.8, 397.3) 119 falling falling trend -1.8 (-2.4, -1.2)
Chaves County 7,8 358.6 (339.1, 379.0) 261 falling falling trend -4.4 (-7.7, -0.9)
San Juan County 7,8 357.0 (342.0, 372.4) 443 stable stable trend -0.5 (-0.9, 0.0)
Lea County 7,8 356.7 (335.6, 378.8) 218 stable stable trend -0.7 (-1.3, 0.0)
Santa Fe County 7,8 356.2 (343.8, 369.0) 682 falling falling trend -5.8 (-9.2, -2.4)
Roosevelt County 7,8 354.8 (317.5, 395.4) 67 stable stable trend -4.4 (-8.8, 0.2)
Rio Arriba County 7,8 353.0 (328.9, 378.6) 167 stable stable trend -0.2 (-0.8, 0.4)
Hidalgo County 7,8 348.2 (282.4, 425.4) 21 stable stable trend 0.5 (-0.8, 1.8)
San Miguel County 7,8 345.1 (317.6, 374.6) 124 stable stable trend -0.3 (-1.0, 0.5)
Guadalupe County 7,8 344.5 (278.9, 421.8) 20 stable stable trend -1.3 (-2.7, 0.0)
Catron County 7,8 342.5 (277.9, 423.2) 27 falling falling trend -9.0 (-15.8, -1.6)
Curry County 7,8 339.6 (316.0, 364.5) 156 stable stable trend -0.7 (-1.3, 0.0)
Taos County 7,8 323.0 (299.3, 348.1) 153 falling falling trend -4.5 (-8.5, -0.3)
McKinley County 7,8 319.0 (299.2, 339.7) 202 stable stable trend -5.1 (-12.4, 2.8)
Union County 7,8 252.2 (198.1, 317.9) 15 falling falling trend -13.5 (-24.5, -0.8)
Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2016 9:05 am.
Data for the United States does not include data from Nevada
State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2014 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
3 Source: SEER November 2015 submission. State Cancer Registry also receives funding from CDC's National Program of Cancer Registries.
7 Source: SEER November 2015 submission.
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modifed by NCI. The 1969-2014 US Population Data File is used with SEER November 2015 data.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2014 US Population Data File is used with NPCR November 2015 data.

Please note that the data comes from different sources. Due to different years of data availablility, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.


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