Death Records
Cause of death, demographics, and county-level mortality -- the actuarial data life insurance companies price policies with.
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Find Me This Data →Overview
What Is Death Records Data?
Death records data encompasses cause of death, demographic information, and county-level mortality statistics used primarily by actuaries and life insurance companies to price policies and assess risk. This data includes comprehensive mortality records sourced from government databases such as the Social Security Office's Death Master File, which maintains complete death records through 2013 with partial records thereafter. The data captures leading causes of death including malignant neoplastic disease, cerebrovascular disease, ischemic heart disease, pneumonia, chronic lower respiratory disease, liver disease, diabetes mellitus, and hypertensive disease, along with demographic classifications for targeted actuarial analysis. Access to cause-of-death data remains limited in many mainstream databases, making specialized death records particularly valuable for insurance underwriting and population health risk modeling.
Market Data
Through 2013
Death Master File Coverage (Complete)
Source: PubMed Central
Over 83 million patient records (2000–2019)
Optum Death Records Database Size
Source: PubMed Central
2.9 million patients with cause-of-death records (1994–2017)
AUSOM Database Coverage
Source: PubMed Central
8 major categories plus 'other causes' classification
Leading Causes Tracked
Source: PubMed Central
Who Uses This Data
What AI models do with it.do with it.
Life Insurance Underwriting
Actuaries use cause-of-death and demographic data to assess mortality risk, calculate premiums, and price life insurance policies with county-level granularity.
Clinical Research & Epidemiology
Researchers leverage death records linked to health insurance claims to validate predictive models for cause-of-death outcomes and conduct population health studies.
Public Health Planning
Government agencies and health systems analyze mortality trends by cause and geography to inform resource allocation and disease prevention initiatives.
What Can You Earn?
What it's worth.worth.
Aggregated County-Level Mortality
Varies
Anonymized, summary-level data by county and cause of death
Large-Scale Health Claims Integration
Varies
Linked death records with insurance claims (millions of records)
Real-Time or Updated Records
Varies
Premium for data covering years after 2013 or continuous updates
What Buyers Expect
What makes it valuable.valuable.
ICD-10 Code Precision
Cause of death must be classified using standardized International Classification of Disease 10th revision codes for accuracy in actuarial modeling.
Complete Demographic Coverage
Records must include age, gender, county, and relevant health insurance status for stratified risk analysis.
Temporal Granularity
Data should specify death date and relevant clinical event dates for proper temporal sequencing in claims-based analysis.
De-identification & Compliance
All records must meet HIPAA and privacy standards; most buyers source from institutional databases or government death master files to ensure compliance.
Companies Active Here
Who's buying.buying.
Price policies, assess mortality risk, and model claims by demographic and cause of death
Analyze claims-linked death records (IBM MarketScan, Optum) to forecast utilization and premium structures
Leverage integrated EHR and death certificate data for epidemiological and machine-learning research
FAQ
Common questions.questions.
Why is cause-of-death data limited in most health databases?
Many large health insurance databases (Medicare Supplemental, Medicaid) record only in-hospital deaths at discharge and do not capture cause-of-death information. Specialized sources like death certificates from medical institutions or Statistics Korea databases are required to obtain detailed cause classifications.
What is the Social Security Death Master File, and how complete is it?
The Social Security Office maintains a Death Master File used by multiple data providers including Optum. It contains complete death records through 2013 and partial records after 2013. It does not include cause-of-death data, so it must be linked with other sources for actuarial pricing.
How is cause of death classified in death records data?
Causes of death are classified using ICD-10 (International Classification of Disease 10th revision) codes. The eight leading causes tracked include malignant neoplastic disease, cerebrovascular disease, ischemic heart disease, pneumonia, chronic lower respiratory disease, liver disease, diabetes mellitus, and hypertensive disease, with remaining deaths categorized as 'other causes.'
Which databases offer the largest death records with cause-of-death information?
Optum's De-Identified Clinformatics Data Mart (over 83 million records from 2000–2019) and Ajou University School of Medicine's EHR database (2.9 million patients from 1994–2017) are major sources. South Korea's National Health Insurance System also provides linked cause-of-death data from 2002–2013.
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