State Level Opioid Overdose Mortality Rates

$179 / year

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.

Complexity

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.

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

NameDescriptionTypeConstraints
StateThe US State or District of Columbia for which the statistics applystring-
State_AbbreviationThe abbreviated name of the US State or District of Columbiastring-
FIPS_CodeThe unique FIPS code of the US State or of District of Columbiastring-
Deaths_2013Number 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–Y14numberlevel : Ratio
Deaths_2014Number 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–Y14numberlevel : Ratio
Deaths_2015Number 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–Y14numberlevel : Ratio
Deaths_2016Number 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–Y14numberlevel : Ratio
Crude_Rate_2013The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2013numberlevel : Ratio
Crude_Rate_2014The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2014numberlevel : Ratio
Crude_Rate_2015The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2015numberlevel : Ratio
Crude_Rate_2016The crude mortality rate at 100.000 persons, for deaths caused by opioid overdose, for the year 2016numberlevel : Ratio
Minimum_Value_Age_Adjusted_2013The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2013numberlevel : Ratio
Maximum_Value_Age_Adjusted_2013The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2013numberlevel : Ratio
Minimum_Value_Age_Adjusted_2014The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2014numberlevel : Ratio
Maximum_Value_Age_Adjusted_2014The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2014numberlevel : Ratio
Minimum_Value_Age_Adjusted_2015The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2015numberlevel : Ratio
Maximum_Value_Age_Adjusted_2015The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2015numberlevel : Ratio
Minimum_Value_Age_Adjusted_2016The smaller value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2016numberlevel : Ratio
Maximum_Value_Age_Adjusted_2016The biggest value of the interval consisting of age-adjusted mortality rate, for one of the age-groups used, estimated for the year 2016numberlevel : Ratio
Number_Of_Deaths_Increase_2014_2013The difference between the number of deaths reported for the year 2014 and 2013; the negative results mean a decreasenumberlevel : Ratio
Is_Increase_Significant_2014_2013Indicates 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 chancebooleanrequired : 1
Number_Of_Deaths_Increase_2015_2014The difference between the number of deaths reported for the year 2015 and 2014; the negative results mean a decreasenumberlevel : Ratio
Is_Increase_Significant_2015_2014Indicates 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 chancebooleanlevel : Required
Number_Of_Deaths_Increase_2016_2015The difference between the number of deaths reported for the year 2016 and 2015; the negative results mean a decreasenumberlevel : Ratio
Is_Increase_Significant_2016_2015Indicates 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 chancebooleanlevel : Required
StateState_AbbreviationFIPS_CodeDeaths_2013Deaths_2014Deaths_2015Deaths_2016Crude_Rate_2013Crude_Rate_2014Crude_Rate_2015Crude_Rate_2016Minimum_Value_Age_Adjusted_2013Maximum_Value_Age_Adjusted_2013Minimum_Value_Age_Adjusted_2014Maximum_Value_Age_Adjusted_2014Minimum_Value_Age_Adjusted_2015Maximum_Value_Age_Adjusted_2015Minimum_Value_Age_Adjusted_2016Maximum_Value_Age_Adjusted_2016Number_Of_Deaths_Increase_2014_2013Is_Increase_Significant_2014_2013Number_Of_Deaths_Increase_2015_2014Is_Increase_Significant_2015_2014Number_Of_Deaths_Increase_2016_2015Is_Increase_Significant_2016_2015
South DakotaSD46556365696.97.88.48.42.811.02.811.02.811.06.911.013.0false7.7falsefalse
IowaIA192752643093149.38.810.310.62.811.02.811.02.811.06.911.0-5.4false17.0false2.9false
MinnesotaMN275235175816729.69.610.612.52.811.02.811.02.811.011.113.5false10.4false17.9true
TexasTX4824462601258828319.39.79.410.12.811.02.811.02.811.06.911.04.3false-3.1false7.4true
NebraskaNE311171251261206.57.26.96.42.811.02.811.02.811.06.911.010.8false-4.2false-7.2false
North DakotaND38204361772.86.38.610.62.811.02.811.02.811.06.911.0125.0true36.5false23.3false
HawaiiHI1515815716919111.010.911.312.82.811.02.811.02.811.011.113.5-0.9false3.7false13.3false
IdahoID1620721221824313.413.714.215.211.113.513.616.013.616.013.616.02.2false3.6false7.0false
MaineME2317421626935313.216.821.228.711.113.516.118.516.118.521.152.027.3true26.2true35.4true
UtahUT4959460364663522.122.423.422.421.035.521.035.521.035.521.152.01.4false4.5false-4.3false