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A method for estimating year of birth using social security number
American Journal of Epidemiology
|September 1, 1983
Summary
This study presents a novel method to estimate birth year using only a Social Security number (SSN). The technique accurately predicts birth year, proving valuable for missing data in epidemiologic research.
Area of Science:
- Epidemiology
- Demography
- Biostatistics
Background:
- Accurate demographic data, including birth year, is crucial for epidemiologic research.
- Missing birth dates in historical datasets pose a significant challenge for population studies.
- Existing methods for inferring birth year are often imprecise or require additional information.
Purpose of the Study:
- To develop and validate a method for estimating an individual's year of birth using only their Social Security number (SSN).
- To assess the accuracy and reliability of the proposed estimation method across different birth cohorts.
- To explore the utility of this method in overcoming data limitations in retrospective epidemiologic studies.
Main Methods:
- Estimating the year of Social Security number (SSN) issuance using Social Security Administration tables or extrapolation for pre-1951 numbers.
- Calculating age at SSN issuance based on a reference population with known birth dates and SSNs.
- Determining the estimated year of birth by subtracting the estimated age at issuance from the estimated year of issuance.
Main Results:
- A strong positive correlation (0.91) was observed between known and estimated years of birth.
- The method achieved predictions within +/- 5 years for 78% of the study population.
- For individuals born after 1934, 95% of predictions were within +/- 5 years, and 77% were within +/- 2 years.
Conclusions:
- The SSN-based method provides a statistically valid and accurate approach for estimating year of birth.
- This technique offers a practical solution for situations where birth dates are missing in epidemiologic research.
- The method's high accuracy, particularly for more recent birth cohorts, enhances its applicability in various research settings.