"Notes" "State" "State Code" "Gender" "Gender Code" Deaths Population Crude Rate
"Alabama" "01" "Female" "F" 1531 24989892 6.1
"Alabama" "01" "Male" "M" 5960 23485788 25.4
"Alaska" "02" "Female" "F" 370 3496504 10.6
"Alaska" "02" "Male" "M" 1430 3828862 37.3
"Arizona" "04" "Female" "F" 2826 34209189 8.3
"Arizona" "04" "Male" "M" 9703 33802465 28.7
"Arkansas" "05" "Female" "F" 1121 15128765 7.4
"Arkansas" "05" "Male" "M" 4164 14602365 28.5
"California" "06" "Female" "F" 9481 194712841 4.9
"California" "06" "Male" "M" 32173 192410234 16.7
"Colorado" "08" "Female" "F" 2544 26866083 9.5
"Colorado" "08" "Male" "M" 8398 27150297 30.9
"Connecticut" "09" "Female" "F" 946 18356364 5.2
"Connecticut" "09" "Male" "M" 2891 17475020 16.5
"Delaware" "10" "Female" "F" 248 4841915 5.1
"Delaware" "10" "Male" "M" 913 4542482 20.1
"District of Columbia" "11" "Female" "F" 105 3479576 3.0
"District of Columbia" "11" "Male" "M" 319 3133382 10.2
"Florida" "12" "Female" "F" 7228 102884917 7.0
"Florida" "12" "Male" "M" 23961 98382833 24.4
"Georgia" "13" "Female" "F" 2977 52060782 5.7
"Georgia" "13" "Male" "M" 10292 49543044 20.8
"Hawaii" "15" "Female" "F" 418 6996258 6.0
"Hawaii" "15" "Male" "M" 1536 7078842 21.7
"Idaho" "16" "Female" "F" 727 8280296 8.8
"Idaho" "16" "Male" "M" 2653 8310885 31.9
"Illinois" "17" "Female" "F" 2893 65254800 4.4
"Illinois" "17" "Male" "M" 10682 62959517 17.0
"Indiana" "18" "Female" "F" 1962 33509655 5.9
"Indiana" "18" "Male" "M" 7745 32539808 23.8
"Iowa" "19" "Female" "F" 842 15651482 5.4
"Iowa" "19" "Male" "M" 3565 15444428 23.1
"Kansas" "20" "Female" "F" 990 14543866 6.8
"Kansas" "20" "Male" "M" 3808 14421245 26.4
"Kentucky" "21" "Female" "F" 1432 22408624 6.4
"Kentucky" "21" "Male" "M" 5875 21741596 27.0
"Louisiana" "22" "Female" "F" 1401 23678725 5.9
"Louisiana" "22" "Male" "M" 5093 22652017 22.5
"Maine" "23" "Female" "F" 486 6799727 7.1
"Maine" "23" "Male" "M" 1886 6523735 28.9
"Maryland" "24" "Female" "F" 1243 30703638 4.0
"Maryland" "24" "Male" "M" 4644 28851410 16.1
"Massachusetts" "25" "Female" "F" 1503 34759801 4.3
"Massachusetts" "25" "Male" "M" 4787 32720412 14.6
"Michigan" "26" "Female" "F" 2861 50465011 5.7
"Michigan" "26" "Male" "M" 10770 48779634 22.1
"Minnesota" "27" "Female" "F" 1518 27518945 5.5
"Minnesota" "27" "Male" "M" 5602 27223496 20.6
"Mississippi" "28" "Female" "F" 825 15361094 5.4
"Mississippi" "28" "Male" "M" 3242 14482765 22.4
"Missouri" "29" "Female" "F" 2148 30916780 6.9
"Missouri" "29" "Male" "M" 8232 29766667 27.7
"Montana" "30" "Female" "F" 577 5115795 11.3
"Montana" "30" "Male" "M" 2009 5172749 38.8
"Nebraska" "31" "Female" "F" 470 9467247 5.0
"Nebraska" "31" "Male" "M" 1940 9394337 20.7
"Nevada" "32" "Female" "F" 1411 14299242 9.9
"Nevada" "32" "Male" "M" 4422 14456287 30.6
"New Hampshire" "33" "Female" "F" 509 6738771 7.6
"New Hampshire" "33" "Male" "M" 1789 6591250 27.1
"New Jersey" "34" "Female" "F" 1743 45575380 3.8
"New Jersey" "34" "Male" "M" 5688 43438609 13.1
"New Mexico" "35" "Female" "F" 1109 10524577 10.5
"New Mexico" "35" "Male" "M" 3548 10319674 34.4
"New York" "36" "Female" "F" 3914 101008925 3.9
"New York" "36" "Male" "M" 12807 95188238 13.5
"North Carolina" "37" "Female" "F" 3205 51345837 6.2
"North Carolina" "37" "Male" "M" 10239 48724857 21.0
"North Dakota" "38" "Female" "F" 236 3576033 6.6
"North Dakota" "38" "Male" "M" 1041 3735404 27.9
"Ohio" "39" "Female" "F" 3346 59254435 5.6
"Ohio" "39" "Male" "M" 12837 56801163 22.6
"Oklahoma" "40" "Female" "F" 1547 19557827 7.9
"Oklahoma" "40" "Male" "M" 5799 19194284 30.2
"Oregon" "41" "Female" "F" 1790 20283024 8.8
"Oregon" "41" "Male" "M" 5852 19893234 29.4
"Pennsylvania" "42" "Female" "F" 3893 65293950 6.0
"Pennsylvania" "42" "Male" "M" 14468 62477177 23.2
"Rhode Island" "44" "Female" "F" 274 5434143 5.0
"Rhode Island" "44" "Male" "M" 912 5115741 17.8
"South Carolina" "45" "Female" "F" 1696 25072604 6.8
"South Carolina" "45" "Male" "M" 5774 23677509 24.4
"South Dakota" "46" "Female" "F" 337 4238090 8.0
"South Dakota" "46" "Male" "M" 1235 4292061 28.8
"Tennessee" "47" "Female" "F" 2326 33724115 6.9
"Tennessee" "47" "Male" "M" 8291 32093577 25.8
"Texas" "48" "Female" "F" 7237 136732961 5.3
"Texas" "48" "Male" "M" 26328 134885667 19.5
"Utah" "49" "Female" "F" 1356 14806043 9.2
"Utah" "49" "Male" "M" 4530 14990157 30.2
"Vermont" "50" "Female" "F" 222 3169269 7.0
"Vermont" "50" "Male" "M" 892 3086687 28.9
"Virginia" "51" "Female" "F" 2498 42287884 5.9
"Virginia" "51" "Male" "M" 8603 40900330 21.0
"Washington" "53" "Female" "F" 2641 35773795 7.4
"Washington" "53" "Male" "M" 8586 35725309 24.0
"West Virginia" "54" "Female" "F" 693 9286171 7.5
"West Virginia" "54" "Male" "M" 2718 9071296 30.0
"Wisconsin" "55" "Female" "F" 1760 28980481 6.1
"Wisconsin" "55" "Male" "M" 6509 28626477 22.7
"Wyoming" "56" "Female" "F" 281 2833086 9.9
"Wyoming" "56" "Male" "M" 1176 2949340 39.9
"---"
"Dataset: Underlying Cause of Death, 1999-2019"
"Query Parameters:"
"ICD-10 Codes: X60-X84 (Intentional self-harm)"
"Year/Month: 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; 2018; 2019"
"Group By: State; Gender"
"Show Totals: False"
"Show Zero Values: True"
"Show Suppressed: True"
"Calculate Rates Per: 100,000"
"Rate Options: Default intercensal populations for years 2001-2009 (except Infant Age Groups)"
"---"
"Help: See http://wonder.cdc.gov/wonder/help/ucd.html for more information."
"---"
"Query Date: Jul 4, 2021 5:16:28 AM"
"---"
"Suggested Citation: Centers for Disease Control and Prevention, National Center for Health Statistics. Underlying Cause of Death"
"1999-2019 on CDC WONDER Online Database, released in 2020. Data are from the Multiple Cause of Death Files, 1999-2019, as"
"compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. Accessed"
"at http://wonder.cdc.gov/ucd-icd10.html on Jul 4, 2021 5:16:28 AM"
"---"
Caveats:
"1. As of April 3, 2017, the underlying cause of death has been revised for 125 deaths in 2014. More information:"
"http://wonder.cdc.gov/wonder/help/ucd.html#2014-Revision."
"2. The population figures for year 2019 are bridged-race estimates of the July 1 resident population, from the Vintage 2019"
"postcensal series released by NCHS on July 9, 2020. The population figures for year 2018 are bridged-race estimates of the July"
"1 resident population, from the Vintage 2018 postcensal series released by NCHS on June 25, 2019. The population figures for"
"year 2017 are bridged-race estimates of the July 1 resident population, from the Vintage 2017 postcensal series released by NCHS"
"on June 27, 2018. The population figures for year 2016 are bridged-race estimates of the July 1 resident population, from the"
"Vintage 2016 postcensal series released by NCHS on June 26, 2017. The population figures for year 2015 are bridged-race"
"estimates of the July 1 resident population, from the Vintage 2015 postcensal series released by NCHS on June 28, 2016. The"
"population figures for year 2014 are bridged-race estimates of the July 1 resident population, from the Vintage 2014 postcensal"
"series released by NCHS on June 30, 2015. The population figures for year 2013 are bridged-race estimates of the July 1 resident"
"population, from the Vintage 2013 postcensal series released by NCHS on June 26, 2014. The population figures for year 2012 are"
"bridged-race estimates of the July 1 resident population, from the Vintage 2012 postcensal series released by NCHS on June 13,"
"2013. The population figures for year 2011 are bridged-race estimates of the July 1 resident population, from the Vintage 2011"
"postcensal series released by NCHS on July 18, 2012. Population figures for 2010 are April 1 Census counts. The population"
"figures for years 2001 - 2009 are bridged-race estimates of the July 1 resident population, from the revised intercensal"
"county-level 2000 - 2009 series released by NCHS on October 26, 2012. Population figures for 2000 are April 1 Census counts."
"Population figures for 1999 are from the 1990-1999 intercensal series of July 1 estimates. Population figures for the infant age"
"groups are the number of live births.
Note: Rates and population figures for years 2001 - 2009 differ slightly from"
"previously published reports, due to use of the population estimates which were available at the time of release."
"3. The population figures used in the calculation of death rates for the age group 'under 1 year' are the estimates of the"
"resident population that is under one year of age. More information: http://wonder.cdc.gov/wonder/help/ucd.html#Age Group."