Death Rates Table
County
|
Met Healthy People Objective of ***? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) 
|
CI*Rank⋔ (95% Confidence Interval)
|
Average Annual Count
|
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval)
|
|---|---|---|---|---|---|---|
| Oklahoma | *** | 595.0 (589.0, 601.0) | N/A | 7,830 |
falling 
|
-0.8 (-1.0, -0.7) |
| United States | *** | 512.0 (511.4, 512.6) | N/A | 568,048 |
falling
|
-2.1 (-2.4, -1.8) |
| Cimarron County | *** | 504.3 (329.9, 740.7) | 73 (1, 77) | 5 |
stable 
|
-0.3 (-2.2, 1.6) |
| Harmon County | *** | 612.3 (421.3, 860.3) | 41 (1, 77) | 7 |
stable
|
0.2 (-1.5, 1.9) |
| Harper County | *** | 443.6 (307.8, 619.7) | 76 (14, 77) | 7 |
stable
|
-0.8 (-2.3, 0.8) |
| Beaver County | *** | 385.5 (276.9, 522.9) | 77 (51, 77) | 8 |
falling
|
-2.2 (-3.5, -1.0) |
| Roger Mills County | *** | 577.1 (421.4, 772.4) | 57 (1, 77) | 9 |
stable
|
-0.1 (-1.7, 1.5) |
| Ellis County | *** | 579.5 (427.1, 768.5) | 55 (1, 77) | 10 |
stable
|
-0.7 (-2.2, 0.9) |
| Grant County | *** | 553.6 (413.2, 726.3) | 63 (2, 77) | 11 |
stable
|
0.1 (-1.1, 1.3) |
| Dewey County | *** | 582.9 (442.2, 754.6) | 54 (1, 77) | 12 |
falling
|
-1.3 (-2.4, -0.1) |
| Alfalfa County | *** | 507.0 (388.9, 650.0) | 72 (7, 77) | 13 |
stable
|
-0.2 (-1.2, 0.8) |
| Cotton County | *** | 630.6 (496.6, 789.8) | 36 (1, 76) | 15 |
stable
|
-0.1 (-0.9, 0.7) |
| Coal County | *** | 637.7 (502.4, 798.7) | 34 (1, 76) | 16 |
stable
|
-0.8 (-1.6, 0.1) |
| Greer County | *** | 713.6 (563.8, 891.1) | 7 (1, 75) | 16 |
stable
|
-0.1 (-1.0, 0.8) |
| Jefferson County | *** | 683.5 (546.7, 844.0) | 12 (1, 74) | 18 |
stable
|
0.3 (-0.6, 1.3) |
| Woods County | *** | 535.3 (428.1, 661.5) | 66 (7, 77) | 18 |
stable
|
-0.6 (-1.6, 0.5) |
| Tillman County | *** | 640.7 (518.5, 783.0) | 32 (1, 74) | 19 |
stable
|
-0.9 (-2.0, 0.4) |
| Major County | *** | 604.5 (489.2, 738.9) | 45 (2, 76) | 20 |
rising 
|
1.1 (0.1, 2.2) |
| Washita County | *** | 525.0 (432.4, 631.7) | 68 (14, 77) | 23 |
stable
|
-0.1 (-1.0, 0.8) |
| Blaine County | *** | 630.8 (524.1, 753.1) | 35 (2, 73) | 25 |
stable
|
-0.5 (-1.4, 0.4) |
| Johnston County | *** | 600.6 (502.2, 712.7) | 47 (3, 75) | 27 |
stable
|
-0.8 (-1.6, 0.0) |
| Noble County | *** | 577.1 (483.3, 684.0) | 58 (6, 76) | 27 |
falling
|
-0.9 (-1.6, -0.3) |
| Kiowa County | *** | 750.9 (629.0, 889.5) | 2 (1, 61) | 27 |
stable
|
0.3 (-0.4, 1.1) |
| Latimer County | *** | 606.8 (510.3, 716.6) | 43 (2, 75) | 28 |
stable
|
-1.0 (-1.9, 0.0) |
| Kingfisher County | *** | 525.6 (442.3, 619.9) | 67 (20, 77) | 29 |
stable
|
-0.2 (-1.0, 0.6) |
| Love County | *** | 736.6 (619.1, 870.0) | 4 (1, 64) | 29 |
stable
|
1.4 (-1.0, 3.8) |
| Woodward County | *** | 454.2 (386.1, 530.8) | 75 (56, 77) | 32 |
falling
|
-1.1 (-2.1, -0.1) |
| Nowata County | *** | 747.6 (635.6, 873.8) | 3 (1, 59) | 32 |
stable
|
-0.4 (-1.3, 0.5) |
| Texas County | *** | 655.2 (557.5, 764.8) | 24 (1, 71) | 33 |
stable
|
3.2 (-0.6, 7.2) |
| Haskell County | *** | 662.5 (567.3, 769.2) | 20 (1, 69) | 35 |
falling
|
-0.8 (-1.5, -0.1) |
| Atoka County | *** | 645.0 (553.0, 748.1) | 31 (2, 71) | 36 |
stable
|
3.6 (-0.9, 8.2) |
| Craig County | *** | 599.4 (515.2, 693.6) | 48 (5, 74) | 36 |
falling
|
-1.0 (-1.7, -0.4) |
| Pushmataha County | *** | 703.4 (605.0, 813.5) | 9 (1, 63) | 37 |
stable
|
-0.3 (-1.2, 0.6) |
| Okfuskee County | *** | 823.7 (708.7, 952.0) | 1 (1, 30) | 37 |
stable
|
0.4 (-0.3, 1.1) |
| Murray County | *** | 670.8 (577.9, 774.5) | 16 (1, 68) | 38 |
stable
|
-0.7 (-1.5, 0.1) |
| Hughes County | *** | 734.5 (633.7, 846.9) | 5 (1, 58) | 39 |
stable
|
0.0 (-0.6, 0.5) |
| Pawnee County | *** | 638.1 (553.6, 731.9) | 33 (2, 70) | 42 |
stable
|
0.1 (-0.5, 0.8) |
| Choctaw County | *** | 679.5 (590.7, 778.1) | 14 (1, 65) | 43 |
stable
|
0.1 (-0.6, 0.8) |
| Marshall County | *** | 593.5 (517.0, 678.4) | 51 (7, 74) | 44 |
stable
|
-0.5 (-1.2, 0.3) |
| Beckham County | *** | 682.2 (596.6, 776.6) | 13 (1, 65) | 47 |
stable
|
-0.1 (-0.8, 0.5) |
| Adair County | *** | 651.5 (571.0, 740.1) | 26 (2, 70) | 49 |
falling
|
-1.0 (-1.6, -0.3) |
| Jackson County | *** | 626.7 (551.4, 709.4) | 37 (4, 71) | 51 |
stable
|
0.2 (-0.3, 0.6) |
| Custer County | *** | 657.9 (582.9, 739.8) | 22 (2, 63) | 57 |
stable
|
0.1 (-0.5, 0.8) |
| McIntosh County | *** | 621.4 (553.6, 695.4) | 38 (5, 69) | 63 |
stable
|
-0.3 (-1.0, 0.3) |
| Seminole County | *** | 666.8 (594.9, 745.2) | 17 (2, 63) | 63 |
stable
|
0.0 (-0.4, 0.4) |
| Caddo County | *** | 684.3 (614.8, 759.7) | 11 (1, 54) | 71 |
stable
|
0.2 (-0.5, 0.8) |
| Garvin County | *** | 712.7 (641.5, 789.5) | 8 (1, 45) | 75 |
stable
|
0.4 (-0.2, 0.9) |
| McClain County | *** | 616.9 (556.4, 682.1) | 40 (7, 69) | 79 |
falling
|
-0.9 (-1.6, -0.2) |
| McCurtain County | *** | 648.7 (586.6, 715.7) | 28 (3, 62) | 81 |
falling
|
-0.9 (-1.4, -0.4) |
| Lincoln County | *** | 604.3 (546.6, 666.4) | 46 (11, 69) | 82 |
stable
|
-0.5 (-1.1, 0.0) |
| Pontotoc County | *** | 619.3 (561.0, 682.1) | 39 (7, 67) | 84 |
stable
|
-0.5 (-1.0, 0.0) |
| Logan County | *** | 542.5 (491.2, 597.7) | 64 (35, 75) | 85 |
falling
|
-1.0 (-1.5, -0.4) |
| Ottawa County | *** | 720.5 (653.9, 792.1) | 6 (1, 41) | 87 |
falling
|
-0.7 (-1.1, -0.3) |
| Bryan County | *** | 568.3 (518.6, 621.5) | 61 (25, 72) | 98 |
falling
|
-1.2 (-1.8, -0.7) |
| Cherokee County | *** | 605.3 (553.0, 661.2) | 44 (12, 68) | 101 |
stable
|
-0.2 (-0.7, 0.3) |
| Okmulgee County | *** | 664.7 (607.5, 725.9) | 18 (3, 55) | 101 |
stable
|
-6.8 (-13.8, 0.9) |
| Osage County | *** | 519.6 (475.0, 567.3) | 71 (45, 76) | 102 |
falling
|
-0.8 (-1.3, -0.4) |
| Mayes County | *** | 664.4 (607.8, 724.9) | 19 (3, 55) | 104 |
falling
|
-0.7 (-1.3, -0.2) |
| Sequoyah County | *** | 657.3 (601.5, 716.9) | 23 (4, 58) | 104 |
falling
|
-0.8 (-1.4, -0.3) |
| Stephens County | *** | 597.7 (547.8, 650.9) | 49 (17, 68) | 108 |
falling
|
-0.8 (-1.4, -0.3) |
| Payne County | *** | 519.7 (477.2, 564.9) | 70 (47, 76) | 113 |
falling
|
-0.7 (-1.2, -0.3) |
| Carter County | *** | 650.7 (598.0, 706.9) | 27 (5, 57) | 114 |
falling
|
-0.5 (-0.8, -0.1) |
| Kay County | *** | 646.9 (594.8, 702.4) | 29 (6, 61) | 116 |
stable
|
-0.1 (-0.4, 0.3) |
| Grady County | *** | 608.7 (559.5, 661.0) | 42 (13, 67) | 116 |
stable
|
-0.3 (-0.8, 0.2) |
| Delaware County | *** | 571.3 (525.2, 620.3) | 60 (26, 72) | 118 |
falling
|
-1.0 (-1.5, -0.5) |
| Pittsburg County | *** | 660.4 (608.1, 715.9) | 21 (4, 56) | 120 |
falling
|
-0.5 (-0.9, -0.1) |
| Garfield County | *** | 574.3 (529.7, 621.6) | 59 (25, 71) | 125 |
stable
|
-0.4 (-0.7, 0.0) |
| Le Flore County | *** | 684.7 (631.9, 740.8) | 10 (3, 45) | 127 |
stable
|
-0.3 (-0.8, 0.2) |
| Wagoner County | *** | 477.0 (440.1, 516.1) | 74 (64, 77) | 129 |
falling
|
-1.2 (-1.7, -0.6) |
| Washington County | *** | 595.0 (549.6, 643.2) | 50 (17, 68) | 130 |
stable
|
-0.3 (-0.7, 0.1) |
| Pottawatomie County | *** | 646.3 (601.9, 693.1) | 30 (6, 56) | 160 |
falling
|
-0.4 (-0.7, -0.1) |
| Muskogee County | *** | 677.9 (632.2, 726.1) | 15 (3, 47) | 167 |
falling
|
-0.4 (-0.8, -0.1) |
| Creek County | *** | 654.1 (611.4, 699.1) | 25 (6, 55) | 178 |
falling
|
-0.4 (-0.7, -0.1) |
| Rogers County | *** | 578.2 (540.9, 617.4) | 56 (28, 70) | 183 |
falling
|
-0.8 (-1.2, -0.4) |
| Comanche County | *** | 592.7 (556.0, 631.3) | 52 (25, 66) | 198 |
falling
|
-0.8 (-1.2, -0.5) |
| Canadian County | *** | 539.9 (507.3, 574.0) | 65 (47, 73) | 214 |
falling
|
-0.9 (-1.2, -0.5) |
| Cleveland County | *** | 520.2 (497.6, 543.6) | 69 (58, 74) | 413 |
falling
|
-0.7 (-1.0, -0.4) |
| Tulsa County | *** | 565.6 (550.7, 580.8) | 62 (47, 66) | 1,131 |
falling
|
-1.3 (-1.6, -1.0) |
| Oklahoma County | *** | 592.6 (578.4, 606.9) | 53 (37, 60) | 1,381 |
falling
|
-0.8 (-0.9, -0.7) |
Notes:
Created by statecancerprofiles.cancer.gov on 05/25/2022 7:07 pm.
State Cancer Registries may provide more current or more local data.
† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The 1969-2018 US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.
Please note that the data comes 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 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.
Data for United States does not include Puerto Rico.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.
Created by statecancerprofiles.cancer.gov on 05/25/2022 7:07 pm.
State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.
† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The 1969-2018 US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.
Please note that the data comes 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 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.
Data for United States does not include Puerto Rico.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.