Others titles
- US Opioid Overdose Crude and Age Adjusted Mortality
- US Opioid Overdose Increase Of Deaths
Keywords
- Opioid Overdose
- Crude Mortality Rates
- Age-Adjusted Mortality Rates
- US States
- States FIPS Codes
- Opioid Overdose Deaths
- Opioid Overdose Increase
- Statistical Significance
State Level Opioid Overdose Mortality Rates
This dataset contains mortality statistics for opioid drugs poisoning in the US at state level starting from 2013 to 2016. The indicators used crude and age-adjusted mortality. At the same time it contains data about the number of deaths and the increase of the number, along with statistical significance (for a probability level of 95%) of increase between the years.
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Description
Opioids—prescription and illicit—are the main driver of drug overdose deaths. Opioids were involved in 42,249 deaths in 2016.
The source of the data is the National Center for Health Statistics published by the Centers for Disease Control and Prevention. Deaths included here have the underlying cause-of-death ICD-10 codes: ICD-10, X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files. Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.
The dataset contains also US States FIPS Codes.
About this Dataset
Data Info
Date Created | 2016-12-16 |
---|---|
Last Modified | 2017-12-19 |
Version | 2017-12-19 |
Update Frequency |
Irregular |
Temporal Coverage |
2013-2016 |
Spatial Coverage |
United States |
Source | John Snow Labs; Centers for Disease Control and Prevention; |
Source License URL | |
Source License Requirements |
N/A |
Source Citation |
N/A |
Keywords | Opioid Overdose, Crude Mortality Rates, Age-Adjusted Mortality Rates, US States, States FIPS Codes, Opioid Overdose Deaths, Opioid Overdose Increase, Statistical Significance |
Other Titles | US Opioid Overdose Crude and Age Adjusted Mortality, US Opioid Overdose Increase Of Deaths |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
State | The US State or District of Columbia for which the statistics apply | string | - |
State_Abbreviation | The abbreviated name of the US State or District of Columbia | string | - |
FIPS_Code | The unique FIPS code of the US State or of District of Columbia | string | - |
Deaths_2013 | Number of reported deaths for the year 2013, having one of the causes coded (using ICD-10) from the following codes: X40–X44, X60–X64, X85, Y10–Y14 | number | level : Ratio |
Deaths_2014 | Number of reported deaths for the year 2014, having one of the causes coded (using ICD-10) from the following codes: X40–X44, X60–X64, X85, Y10–Y14 | number | level : Ratio |
Deaths_2015 | Number of reported deaths for the year 2015, having one of the causes coded (using ICD-10) from the following codes: X40–X44, X60–X64, X85, Y10–Y14 | number | level : Ratio |
Deaths_2016 | Number of reported deaths for the year 2016, having one of the causes coded (using ICD-10) from the following codes: X40–X44, X60–X64, X85, Y10–Y14 | number | level : Ratio |
Crude_Rate_2013 | The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2013 | number | level : Ratio |
Crude_Rate_2014 | The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2014 | number | level : Ratio |
Crude_Rate_2015 | The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2015 | number | level : Ratio |
Crude_Rate_2016 | The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2016 | number | level : Ratio |
Minimum_Value_Age_Adjusted_2013 | The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2013 | number | level : Ratio |
Maximum_Value_Age_Adjusted_2013 | The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2013 | number | level : Ratio |
Minimum_Value_Age_Adjusted_2014 | The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2014 | number | level : Ratio |
Maximum_Value_Age_Adjusted_2014 | The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2014 | number | level : Ratio |
Minimum_Value_Age_Adjusted_2015 | The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2015 | number | level : Ratio |
Maximum_Value_Age_Adjusted_2015 | The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2015 | number | level : Ratio |
Minimum_Value_Age_Adjusted_2016 | The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2016 | number | level : Ratio |
Maximum_Value_Age_Adjusted_2016 | The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2016 | number | level : Ratio |
Number_Of_Deaths_Increase_2014_2013 | The difference between the number of deaths reported for the year 2014 and 2013; the negative results mean a decrease | number | level : Ratio |
Is_Increase_Significant_2014_2013 | Indicates if the increase (or decrease if it has negative value) between the deaths reported for the year 2014 and 2013 is a real increase (with a probability of 95%), respectively the change observed is not caused by chance | boolean | required : 1 |
Number_Of_Deaths_Increase_2015_2014 | The difference between the number of deaths reported for the year 2015 and 2014; the negative results mean a decrease | number | level : Ratio |
Is_Increase_Significant_2015_2014 | Indicates if the increase (or decrease if it has negative value), between the deaths reported for the year 2015 and 2014, is a real increase (with a probability of 95%), respectively the change observed is not caused by chance | boolean | level : Required |
Number_Of_Deaths_Increase_2016_2015 | The difference between the number of deaths reported for the year 2016 and 2015; the negative results mean a decrease | number | level : Ratio |
Is_Increase_Significant_2016_2015 | Indicates if the increase (or decrease if it has negative value), between the deaths reported for the year 2016 and 2015, is a real increase (with a probability of 95%), respectively the change observed is not caused by chance | boolean | level : Required |
Data Preview
State | State Abbreviation | FIPS Code | Deaths 2013 | Deaths 2014 | Deaths 2015 | Deaths 2016 | Crude Rate 2013 | Crude Rate 2014 | Crude Rate 2015 | Crude Rate 2016 | Minimum Value Age Adjusted 2013 | Maximum Value Age Adjusted 2013 | Minimum Value Age Adjusted 2014 | Maximum Value Age Adjusted 2014 | Minimum Value Age Adjusted 2015 | Maximum Value Age Adjusted 2015 | Minimum Value Age Adjusted 2016 | Maximum Value Age Adjusted 2016 | Number Of Deaths Increase 2014 2013 | Is Increase Significant 2014 2013 | Number Of Deaths Increase 2015 2014 | Is Increase Significant 2015 2014 | Number Of Deaths Increase 2016 2015 | Is Increase Significant 2016 2015 |
Alabama | AL | 1 | 598 | 723 | 736 | 756 | 12.7 | 15.2 | 15.7 | 16.2 | 11.1 | 13.5 | 13.6 | 16.0 | 13.6 | 16.0 | 16.1 | 18.5 | 19.7 | True | 3.3 | False | 3.2 | False |
Alaska | AK | 2 | 105 | 124 | 122 | 128 | 14.4 | 16.8 | 16.0 | 16.8 | 13.6 | 16.0 | 16.1 | 18.5 | 16.1 | 18.5 | 16.1 | 18.5 | 16.7 | False | -4.8 | False | 5.0 | False |
Arizona | AZ | 4 | 1222 | 1211 | 1274 | 1382 | 18.7 | 18.2 | 19.0 | 20.3 | 18.6 | 21.0 | 16.1 | 18.5 | 16.1 | 18.5 | 18.6 | 21.0 | -2.7 | False | 4.4 | False | 6.8 | False |
Arkansas | AR | 5 | 319 | 356 | 392 | 401 | 11.1 | 12.6 | 13.8 | 14.0 | 11.1 | 13.5 | 11.1 | 13.5 | 11.1 | 13.5 | 13.6 | 16.0 | 13.5 | False | 9.5 | False | 1.4 | False |
California | CA | 6 | 4452 | 4521 | 4659 | 4654 | 11.1 | 11.1 | 11.3 | 11.2 | 11.1 | 13.5 | 11.1 | 13.5 | 11.1 | 13.5 | 11.1 | 13.5 | False | 1.8 | False | -0.9 | False | |
Colorado | CO | 8 | 846 | 899 | 869 | 942 | 15.5 | 16.3 | 15.4 | 16.6 | 13.6 | 16.0 | 16.1 | 18.5 | 16.1 | 18.5 | 16.1 | 18.5 | 5.2 | False | -5.5 | False | 7.8 | False |
Connecticut | CT | 9 | 582 | 623 | 800 | 971 | 16.0 | 17.6 | 22.1 | 27.4 | 13.6 | 16.0 | 16.1 | 18.5 | 16.1 | 18.5 | 21.1 | 52.0 | 10.0 | False | 25.6 | True | 24.0 | True |
Delaware | DE | 10 | 166 | 189 | 198 | 282 | 18.7 | 20.9 | 22.0 | 30.8 | 18.6 | 21.0 | 18.6 | 21.0 | 18.6 | 21.0 | 21.1 | 52.0 | 11.8 | False | 5.3 | False | 40.0 | True |
District of Columbia | DC | 11 | 102 | 96 | 125 | 269 | 15.0 | 14.2 | 18.6 | 38.8 | 13.6 | 16.0 | 13.6 | 16.0 | 13.6 | 16.0 | 21.1 | 52.0 | -5.3 | False | 31.0 | False | 108.6 | True |
Florida | FL | 12 | 2474 | 2634 | 3228 | 4728 | 12.6 | 13.2 | 16.2 | 23.7 | 11.1 | 13.5 | 11.1 | 13.5 | 11.1 | 13.5 | 21.1 | 52.0 | 4.8 | False | 22.7 | True | 46.3 | True |