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Incidence Rates Table

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Incidence Rate Report for South Dakota by County

All Races (includes Hispanic), Both Sexes, Lung & Bronchus, All Ages
Sorted by Rate
County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

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Average Annual Count
over rate period
sort sort by countdescending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
South Dakota 6,10 58.5 (56.3, 60.8) 543 2007-2011 stable stable trend -2 (-5.2, 1.3)
US (SEER+NPCR) 1,10 64.9 (64.7, 65.0) 212,768 § 2007-2011 falling falling trend -2.7 (-3.8, -1.6)
Tripp County 6,10 34.4 (19.3, 59.1) 3 2007-2011 stable stable trend 5.3 (-40.1, 84.9)
Spink County 6,10 36.5 (21.4, 60.1) 4 2007-2011 stable stable trend -2.5 (-66.2, 180.9)
Brookings County 6,10 41.8 (31.2, 54.8) 11 2007-2011 stable stable trend -3.9 (-28.3, 28.7)
Hutchinson County 6,10 42.9 (28.2, 64.7) 6 2007-2011 stable stable trend -10.7 (-45.8, 47.1)
Grant County 6,10 45.0 (28.3, 69.1) 5 2007-2011 stable stable trend 13 (-13.4, 47.6)
Charles Mix County 6,10 46.4 (30.7, 68.0) 6 2007-2011 stable stable trend -10.3 (-39.1, 32.2)
Roberts County 6,10 47.0 (31.8, 67.6) 6 2007-2011 stable stable trend -6.5 (-60.4, 121.2)
Lawrence County 6,10 47.6 (37.1, 60.5) 14 2007-2011 stable stable trend -0.2 (-18.8, 22.7)
Lincoln County 6,10 48.0 (37.8, 59.9) 16 2007-2011 stable stable trend 0.4 (-12.3, 14.9)
Custer County 6,10 48.8 (32.8, 71.8) 6 2007-2011 stable stable trend -5.9 (-39.9, 47.2)
Beadle County 6,10 49.2 (37.2, 64.2) 12 2007-2011 stable stable trend -22.5 (-46.1, 11.4)
Hamlin County 6,10 50.3 (29.8, 80.4) 4 2007-2011 stable stable trend -25 (-48.0, 8.1)
Turner County 6,10 51.8 (34.8, 75.2) 6 2007-2011 stable stable trend 29 (-32.6, 147.0)
Bon Homme County 6,10 52.6 (34.2, 78.5) 5 2007-2011 stable stable trend 7.6 (-50.6, 134.3)
Shannon County 6,10 53.1 (30.0, 85.2) 3 2007-2011 stable stable trend 7.2 (-35.1, 77.1)
Brown County 6,10 55.8 (46.4, 66.6) 26 2007-2011 stable stable trend -2.2 (-21.9, 22.4)
Day County 6,10 57.1 (37.8, 85.4) 6 2007-2011 stable stable trend -14 (-65.9, 117.0)
Meade County 6,10 57.1 (44.6, 72.2) 14 2007-2011 stable stable trend 2.5 (-24.3, 38.7)
Hughes County 6,10 57.8 (43.3, 75.7) 11 2007-2011 stable stable trend -2 (-17.4, 16.1)
Lake County 6,10 57.9 (41.9, 78.8) 9 2007-2011 stable stable trend -20.5 (-41.1, 7.3)
Butte County 6,10 61.0 (43.5, 84.0) 8 2007-2011 rising rising trend 21.9 (5.9, 40.2)
Walworth County 6,10 61.5 (41.3, 91.0) 6 2007-2011 stable stable trend -8.1 (-48.9, 65.3)
Marshall County 6,10 61.9 (37.7, 97.8) 4 2007-2011 stable stable trend -1.2 (-54.9, 116.2)
Minnehaha County 6,10 63.2 (57.8, 69.1) 101 2007-2011 stable stable trend -5 (-13.6, 4.5)
Kingsbury County 6,10 63.4 (40.5, 96.9) 5 2007-2011 stable stable trend -16.6 (-41.1, 18.1)
Codington County 6,10 63.9 (52.0, 77.9) 20 2007-2011 stable stable trend -12.5 (-37.7, 22.9)
Clay County 6,10 64.2 (45.0, 88.9) 7 2007-2011 stable stable trend -1.9 (-28.6, 34.7)
Davison County 6,10 65.2 (51.5, 81.7) 16 2007-2011 stable stable trend -15.4 (-33.0, 6.9)
Potter County 6,10 66.4 (37.6, 120.1) 3 2007-2011 stable stable trend 0 (0.0, 0.0)
Yankton County 6,10 66.4 (53.3, 81.9) 18 2007-2011 stable stable trend -2.5 (-18.6, 16.7)
McCook County 6,10 66.9 (43.8, 99.5) 5 2007-2011 stable stable trend 0 (0.0, 0.0)
Deuel County 6,10 67.7 (42.7, 104.7) 5 2007-2011 stable stable trend -13.2 (-48.1, 45.2)
Union County 6,10 68.9 (52.0, 89.6) 12 2007-2011 stable stable trend 16.8 (-4.0, 42.1)
Gregory County 6,10 69.1 (42.5, 109.0) 5 2007-2011 stable stable trend 21.4 (-14.9, 73.0)
Pennington County 6,10 71.4 (64.5, 78.9) 78 2007-2011 stable stable trend 3.3 (-4.8, 12.2)
Brule County 6,10 74.0 (48.3, 110.0) 5 2007-2011 stable stable trend 15.3 (-32.8, 97.9)
Fall River County 6,10 75.6 (55.8, 102.7) 10 2007-2011 stable stable trend -11.5 (-32.3, 15.7)
Douglas County 6,10 76.8 (43.9, 129.2) 4 2007-2011 stable stable trend 6.2 (-35.6, 75.1)
Todd County 6,10 80.8 (48.1, 125.1) 4 2007-2011 stable stable trend -0.9 (-38.0, 58.3)
Dewey County 6,10 86.1 (49.7, 137.4) 3 2007-2011 stable stable trend 3.8 (-51.8, 123.6)
Stanley County 6,10 86.4 (48.3, 145.2) 3 2007-2011 stable stable trend -0.2 (-53.1, 112.2)
Lyman County 6,10 88.8 (53.2, 140.1) 4 2007-2011 stable stable trend 0 (0.0, 0.0)
Aurora County 6,10
*
3 or fewer
2007-2011 stable stable trend 0 (0.0, 0.0)
Bennett County 6,10
*
3 or fewer
2007-2011 * *
Buffalo County 6,10
*
3 or fewer
2007-2011 * *
Campbell County 6,10
*
3 or fewer
2007-2011 * *
Clark County 6,10
*
3 or fewer
2007-2011 * *
Corson County 6,10
*
3 or fewer
2007-2011 * *
Edmunds County 6,10
*
3 or fewer
2007-2011 * *
Faulk County 6,10
*
3 or fewer
2007-2011 * *
Haakon County 6,10
*
3 or fewer
2007-2011 * *
Hand County 6,10
*
3 or fewer
2007-2011 * *
Hanson County 6,10
*
3 or fewer
2007-2011 * *
Harding County 6,10
*
3 or fewer
2007-2011 * *
Hyde County 6,10
*
3 or fewer
2007-2011 * *
Jackson County 6,10
*
3 or fewer
2007-2011 * *
Jerauld County 6,10
*
3 or fewer
2007-2011 * *
Jones County 6,10
*
3 or fewer
2007-2011 * *
McPherson County 6,10
*
3 or fewer
2007-2011 * *
Mellette County 6,10
*
3 or fewer
2007-2011 * *
Miner County 6,10
*
3 or fewer
2007-2011 stable stable trend 14.8 (-19.8, 64.3)
Moody County 6,10
*
3 or fewer
2007-2011 * *
Perkins County 6,10
*
3 or fewer
2007-2011 * *
Sanborn County 6,10
*
3 or fewer
2007-2011 * *
Sully County 6,10
*
3 or fewer
2007-2011 * *
Ziebach County 6,10
*
3 or fewer
2007-2011 * *
Notes:
Created by statecancerprofiles.cancer.gov on 12/18/2014 2:33 pm.
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 1969-2012 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.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2013 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2013 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases were reported in a specific area-sex-race category.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission and SEER November 2013 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
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 1969-2012 US Population Data File is used with NPCR January 2014 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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