DSS Benefit and Payment Recipient Demographics: Quarterly Australian Welfare Data
by Department of Social Services / Department of Social Services ·Updated 21d ago
74filesEXCEL (.XLSX)
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Description
Quarterly demographic data on Australian social security recipients includes breakdowns by state, electorate, postcode, age, sex, and Indigenous status. The Department of Social Services dataset tracks payment duration, earnings, medical conditions, and program exits for payments like JobSeeker and Disability Support Pension. From December 2022, reporting expanded to include recipients suspended from payment or on a zero rate.
Use Cases
Analyze geographic disparities in welfare reliance based on state, electorate, and postcode data.
Track longitudinal trends in payment duration and program exits for specific demographics like age and Indigenous status.
Model the relationship between earnings, assets, and payment rates for working-age and pension recipients.
Study the prevalence of specific medical conditions among Disability Support Pension and Care Receiver populations.
Strengths
Data is updated quarterly, providing regular snapshots of welfare dynamics.
Includes multiple geographic granularities: state, electorate, postcode, LGA, and SA2.
Covers a wide range of payment types and demographic variables, including a recent expansion to include suspended recipients.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Non-binary gender data is currently grouped with females for privacy, limiting gender-based analysis.
Provenance
Source
Department of Social Services, Australia
Collection Method
Administrative data from Centrelink payment systems.
Time Range
Time series data, with SA2 geography available from 2015 onwards and expanded reporting from December 2022.
Freshness
Last updated 2026-05-15; data is published quarterly.
Geography
Australia, broken down by state/territory, electorate, postcode, LGA, and SA2.
License is CC-BY-4.0. Data uses ASGS 2022 boundaries from June 2023. Non-binary gender is grouped with females for confidentiality.