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Incidence Rates Table

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Incidence Rate Report for by County

Lung & Bronchus, 2009-2013

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

Sorted by Rate
County
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Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
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Average Annual Count
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Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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South Carolina 6,10 68.7 (67.7, 69.7) 3,746 falling falling trend -2.7 (-4.5, -0.9)
US (SEER+NPCR) 1,10 62.4 (62.3, 62.6) 214,614 falling falling trend -2.5 (-3.0, -2.0)
Union County 6,10 94.2 (80.8, 109.3) 36 stable stable trend -5.2 (-11.0, 1.0)
Colleton County 6,10 93.5 (81.8, 106.6) 48 stable stable trend -3.9 (-15.6, 9.4)
Cherokee County 6,10 87.7 (77.6, 98.8) 56 stable stable trend 4.5 (-10.8, 22.4)
Marlboro County 6,10 87.2 (73.2, 103.3) 29 stable stable trend 8.0 (-21.8, 49.3)
Dillon County 6,10 85.5 (72.6, 100.2) 32 stable stable trend 5.6 (-10.0, 23.9)
Berkeley County 6,10 84.8 (78.4, 91.6) 142 stable stable trend -2.4 (-9.7, 5.5)
Chesterfield County 6,10 81.2 (70.7, 93.0) 45 stable stable trend -6.1 (-27.1, 21.0)
Laurens County 6,10 80.2 (71.7, 89.5) 67 stable stable trend -2.3 (-11.0, 7.1)
Marion County 6,10 79.3 (67.3, 93.0) 33 stable stable trend -0.0 (-18.6, 22.8)
Hampton County 6,10 78.1 (63.3, 95.6) 20 stable stable trend 2.9 (-9.4, 16.8)
Chester County 6,10 77.4 (65.7, 90.6) 32 stable stable trend -1.0 (-10.5, 9.6)
Horry County 6,10 74.7 (70.8, 78.9) 286 falling falling trend -4.2 (-6.8, -1.5)
Pickens County 6,10 74.0 (67.5, 80.9) 99 stable stable trend -0.9 (-13.4, 13.4)
Kershaw County 6,10 73.6 (65.1, 82.9) 57 stable stable trend -4.5 (-18.6, 11.9)
Spartanburg County 6,10 73.1 (69.0, 77.5) 241 stable stable trend -2.4 (-11.9, 8.2)
Lee County 6,10 73.0 (58.0, 90.9) 17 stable stable trend -13.1 (-34.3, 15.0)
Florence County 6,10 72.8 (66.9, 79.2) 115 stable stable trend 5.2 (-0.1, 10.7)
Darlington County 6,10 72.4 (64.4, 81.2) 62 stable stable trend -0.5 (-9.3, 9.0)
Sumter County 6,10 72.0 (65.2, 79.3) 84 stable stable trend -0.8 (-11.4, 11.2)
Dorchester County 6,10 70.6 (63.9, 77.7) 89 stable stable trend 0.2 (-4.8, 5.5)
Richland County 6,10 70.1 (66.1, 74.2) 242 stable stable trend -2.8 (-10.8, 6.0)
Clarendon County 6,10 70.0 (59.7, 81.8) 35 stable stable trend 15.7 (-1.1, 35.3)
Anderson County 6,10 69.6 (64.8, 74.5) 166 stable stable trend -3.6 (-13.2, 7.1)
Oconee County 6,10 68.8 (61.9, 76.5) 75 stable stable trend -6.1 (-18.6, 8.4)
Lexington County 6,10 68.5 (64.2, 73.1) 196 stable stable trend -6.7 (-13.0, 0.2)
Abbeville County 6,10 68.1 (56.2, 82.0) 24 rising rising trend 5.0 (0.5, 9.8)
Lancaster County 6,10 67.5 (60.3, 75.3) 68 stable stable trend -3.1 (-13.6, 8.6)
McCormick County 6,10 67.4 (51.6, 88.4) 13 stable stable trend 8.8 (-21.3, 50.6)
York County 6,10 66.8 (62.1, 71.8) 157 stable stable trend -5.0 (-12.7, 3.5)
Williamsburg County 6,10 66.3 (55.8, 78.4) 29 rising rising trend 5.9 (0.8, 11.4)
Charleston County 6,10 65.5 (61.9, 69.3) 257 stable stable trend -4.4 (-10.2, 1.8)
Greenville County 6,10 64.6 (61.5, 67.9) 324 stable stable trend -3.0 (-6.5, 0.7)
Orangeburg County 6,10 63.3 (56.8, 70.4) 71 stable stable trend -1.7 (-6.0, 2.8)
Greenwood County 6,10 63.2 (55.8, 71.3) 54 stable stable trend 0.7 (-5.5, 7.3)
Allendale County 6,10 61.7 (43.6, 85.3) 8 stable stable trend 11.0 (-21.7, 57.3)
Calhoun County 6,10 59.7 (45.4, 77.4) 12 stable stable trend 22.5 (-8.7, 64.3)
Barnwell County 6,10 59.5 (46.8, 74.8) 15 stable stable trend -3.8 (-26.2, 25.3)
Georgetown County 6,10 59.2 (52.2, 66.9) 57 falling falling trend -16.5 (-27.8, -3.5)
Bamberg County 6,10 59.0 (45.3, 76.0) 13 stable stable trend 5.0 (-21.1, 39.7)
Newberry County 6,10 58.5 (49.2, 69.2) 29 stable stable trend -5.0 (-29.6, 28.3)
Edgefield County 6,10 58.5 (46.6, 72.6) 18 falling falling trend -15.3 (-26.8, -2.0)
Aiken County 6,10 58.5 (53.9, 63.5) 122 falling falling trend -5.7 (-10.3, -0.9)
Fairfield County 6,10 57.9 (46.4, 71.6) 18 stable stable trend -2.2 (-27.5, 31.8)
Saluda County 6,10 55.1 (42.9, 70.1) 14 stable stable trend -5.2 (-12.3, 2.4)
Jasper County 6,10 51.9 (40.2, 66.0) 14 stable stable trend 3.6 (-31.4, 56.5)
Beaufort County 6,10 49.0 (45.1, 53.3) 124 stable stable trend 1.2 (-11.3, 15.4)
Notes:
Created by statecancerprofiles.cancer.gov on 08/23/2016 9:31 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 1969-2014 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.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission.
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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