Return to Home Incidence > Table

Incidence Rates Table

Data Options

Incidence Rate Report for by County

Lung & Bronchus, 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 ratedescending
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 41.9 (40.7, 43.1) 967 falling falling trend -2.8 (-4.1, -1.6)
US (SEER+NPCR) 1,10 62.4 (62.3, 62.6) 214,614 falling falling trend -2.5 (-3.0, -2.0)
McKinley County 7,8 13.5 (9.7, 18.3) 9 falling falling trend -3.0 (-5.3, -0.7)
Los Alamos County 7,8 26.5 (18.1, 38.0) 7 stable stable trend -1.8 (-4.2, 0.6)
Santa Fe County 7,8 31.7 (28.1, 35.7) 59 stable stable trend -0.4 (-1.6, 0.9)
Rio Arriba County 7,8 34.8 (27.5, 43.5) 16 stable stable trend -0.7 (-2.8, 1.5)
Taos County 7,8 35.0 (27.5, 44.1) 16 stable stable trend -0.5 (-2.2, 1.3)
San Miguel County 7,8 37.3 (28.9, 47.7) 14 stable stable trend -1.1 (-2.5, 0.4)
Colfax County 7,8 38.1 (27.6, 52.3) 9 stable stable trend -0.9 (-3.1, 1.4)
Bernalillo County 7,8 39.4 (37.4, 41.6) 277 falling falling trend -1.3 (-1.6, -0.9)
Sandoval County 7,8 40.4 (35.7, 45.5) 58 stable stable trend -1.2 (-2.4, 0.1)
Catron County 7 41.2 (24.0, 77.3) 4
*
*
Dona Ana County 7,8 42.6 (38.7, 46.7) 92 stable stable trend -0.5 (-1.0, 0.0)
San Juan County 7,8 44.0 (38.8, 49.7) 53 stable stable trend -0.7 (-1.6, 0.2)
Grant County 7,8 44.7 (36.4, 54.7) 22 stable stable trend -0.6 (-2.1, 0.9)
Lincoln County 7,8 45.4 (36.0, 57.3) 17 stable stable trend 0.0 (-1.4, 1.5)
Curry County 7,8 46.8 (38.3, 56.6) 21 stable stable trend -0.3 (-1.8, 1.2)
Eddy County 7,8 47.3 (39.8, 55.7) 29 stable stable trend -1.0 (-2.3, 0.2)
Chaves County 7,8 47.5 (40.8, 55.1) 36 falling falling trend -8.1 (-14.6, -1.2)
Socorro County 7,8 47.8 (35.3, 63.7) 10 stable stable trend -0.6 (-3.1, 2.0)
Torrance County 7,8 49.0 (36.3, 65.1) 11 stable stable trend -1.1 (-2.8, 0.5)
Cibola County 7,8 50.6 (39.6, 63.7) 15 stable stable trend -0.2 (-2.1, 1.7)
Valencia County 7,8 50.8 (44.0, 58.3) 42 stable stable trend -0.3 (-1.6, 1.0)
Sierra County 7,8 55.1 (43.5, 70.9) 16 stable stable trend -0.7 (-2.5, 1.1)
Roosevelt County 7,8 55.2 (41.1, 72.5) 10 stable stable trend -5.2 (-10.7, 0.6)
Luna County 7,8 56.8 (46.5, 69.1) 22 stable stable trend 0.2 (-1.3, 1.8)
Lea County 7,8 57.7 (49.3, 67.1) 34 falling falling trend -1.2 (-2.3, -0.1)
Otero County 7,8 58.5 (51.0, 66.8) 45 stable stable trend 1.0 (-0.1, 2.0)
Quay County 7,8 62.1 (45.1, 84.7) 9 stable stable trend 0.8 (-1.6, 3.3)
De Baca County 7
*
3 or fewer
*
*
Guadalupe County 7
*
3 or fewer
*
*
Harding County 7
*
3 or fewer
*
*
Hidalgo County 7
*
3 or fewer
*
*
Mora County 7
*
3 or fewer
*
*
Union County 7,8
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/24/2016 1:02 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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

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.


Return to Top