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CT Accidental Drug Fatalities Data

Public Health & Epidemiology

Tags and Keywords

Overdose

Fentanyl

Connecticut

Deaths

Polysubstance

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CT Accidental Drug Fatalities Data Dataset on Opendatabay data marketplace

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About

This dataset provides detailed information on accidental drug-related overdose deaths in Connecticut between 2012 and 2018. It aims to facilitate the examination of trends in polysubstance detection associated with these fatalities. The data reveals a significant increase in overdose deaths across Connecticut during this period, with specific demographic groups being disproportionately affected. It highlights the escalating number of fentanyl-related deaths, many of which involve the use of multiple substances.

Columns

  • ID: A unique identifier for each record.
  • Date: The date associated with the event, ranging from 1 January 2012 to 31 December 2018.
  • DateType: Indicates whether the date recorded is the Date Reported (1) or Date of Death (0).
  • Age: The age of the individual, ranging from 14 to 87 years, with a mean of 42.
  • Sex: The sex of the individual, categorised as Male (74%), Female (26%), or Other (0%).
  • Race: The racial background of the individual, including White (78%), Hispanic, White (11%), and Other (11%).
  • ResidenceCity: The city of residence for the individual, with Hartford (6%) and Waterbury (5%) being the most common, alongside other cities.
  • ResidenceCounty: The county of residence, with Hartford (24%) and New Haven (22%) being the most common.
  • ResidenceState: The state of residence, with Connecticut (67%) being the most prevalent.
  • DeathCity: The city where the death occurred, Hartford (11%) and New Haven (7%) are frequently cited.
  • DeathCounty: The county where the death occurred, with Hartford (24%) and New Haven (22%) being the most common.
  • Location: The general location where the death occurred, such as Residence (52%) or Hospital (32%).
  • LocationifOther: Provides specific details if the location was 'Other', e.g., Friend's Residence (1%).
  • DescriptionofInjury: Describes the nature of the injury, with 'Substance Abuse' being a common description (32%).
  • InjuryPlace: The specific place where the injury occurred, primarily Residence (71%).
  • InjuryCity: The city where the injury occurred, with Hartford (6%) appearing prominently.
  • InjuryCounty: The county where the injury occurred, with Hartford (14%) being a significant entry.
  • InjuryState: The state where the injury occurred, predominantly Connecticut (28%).
  • COD: The stated Cause of Death, including 'Acute Fentanyl Intoxication' (3%) and 'Multiple Drug Toxicity' (3%).
  • OtherSignifican: Lists other significant contributing factors, if any.
  • Heroin: Binary indicator (0 or 1) for heroin detection.
  • Cocaine: Binary indicator (0 or 1) for cocaine detection.
  • Fentanyl: Binary indicator (0 or 1) for fentanyl detection (44% of cases).
  • Fentanyl_Analogue: Binary indicator (0 or 1) for fentanyl analogue detection.
  • Oxycodone: Binary indicator (0 or 1) for oxycodone detection.
  • Oxymorphone: Binary indicator (0 or 1) for oxymorphone detection.
  • Ethanol: Binary indicator (0 or 1) for ethanol detection.
  • Hydrocodone: Binary indicator (0 or 1) for hydrocodone detection.
  • Benzodiazepine: Binary indicator (0 or 1) for benzodiazepine detection.
  • Methadone: Binary indicator (0 or 1) for methadone detection.
  • Amphet: Binary indicator (0 or 1) for amphetamine detection.
  • Tramad: Binary indicator (0 or 1) for tramadol detection.
  • Morphine_NotHeroin: Binary indicator (0 or 1) for morphine detection (not heroin).
  • Hydromorphone: Binary indicator (0 or 1) for hydromorphone detection.
  • Other: Indicates the presence of other substances, such as PCP (1%).
  • OpiateNOS: Binary indicator (0 or 1) for opiates not otherwise specified.
  • AnyOpioid: Binary indicator (0 or 1) for the detection of any opioid (48% of cases).
  • MannerofDeath: The determined manner of death, with Accident accounting for 99% of cases.
  • DeathCityGeo: Geocoordinates for the city of death, e.g., Hartford, CT (41.765775, -72.673356).
  • ResidenceCityGeo: Geocoordinates for the city of residence, e.g., Hartford, CT (41.765775, -72.673356).
  • InjuryCityGeo: Geocoordinates for the city of injury, e.g., CT (41.575155, -72.738288).

Distribution

The dataset is provided in CSV format and is approximately 1.88 MB in size. It contains 5105 records (rows) with 42 columns, detailing various aspects of accidental drug-related overdose deaths.

Usage

This dataset is ideal for:
  • Analysing trends in drug overdose deaths over time.
  • Investigating the prevalence of polysubstance use in overdose fatalities.
  • Identifying demographic groups most affected by drug overdoses.
  • Mapping geographical hotspots for drug-related deaths within Connecticut.
  • Informing public health strategies and policy development related to substance abuse.
  • Supporting research into the impact of specific drugs, such as fentanyl, on mortality rates.

Coverage

The dataset covers accidental drug-related deaths in Connecticut from 2012 to 2018.
  • Geographic Scope: Primarily Connecticut, with specific cities and counties like Hartford and New Haven detailed for residence, death, and injury locations.
  • Time Range: From 1 January 2012 to 31 December 2018.
  • Demographic Scope: Overdose deaths predominantly occurred among persons aged 35-64 (65.3%), men (73.9%), and non-Hispanic whites (78.5%). The age range spans from 14 to 87 years.
  • Specific Notes: Fentanyl-related deaths escalated significantly during the period, with over 50% involving polysubstance use. The dataset includes information on the detection of various substances such as heroin, cocaine, fentanyl, oxycodone, ethanol, and benzodiazepines.

License

CC0: Public Domain

Who Can Use It

  • Public Health Researchers: To study mortality trends, risk factors, and the impact of specific substances.
  • Policy Makers: To develop targeted interventions, allocate resources, and assess the effectiveness of drug prevention programmes.
  • Law Enforcement Agencies: To understand geographical patterns of drug-related fatalities and inform public safety initiatives.
  • Data Analysts and Scientists: For statistical modelling, trend analysis, and creating visualisations to communicate findings.
  • Healthcare Providers: To understand the scope of the overdose crisis and inform treatment and prevention efforts.

Dataset Name Suggestions

  • Connecticut Drug Overdose Deaths: 2012-2018 Trends
  • CT Accidental Drug Fatalities Data
  • Polysubstance Overdose Deaths in Connecticut (2012-2018)
  • Connecticut Opioid Crisis Mortality Statistics

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

14/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format