Spatially consistent annual Socio-Economic Indexes for Areas (SEIFA) data for Australian statistical areas, 1996–2021

IF 3.6 3区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Annals of Epidemiology Pub Date : 2025-10-01 Epub Date: 2025-08-20 DOI:10.1016/j.annepidem.2025.08.008

Rebecca A. Reid , Suzanne Mavoa , Sarah Foster , Julia Gilmartin-Thomas , Jerome N. Rachele

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引用次数: 0

Abstract

Purpose

National census data are frequently used as a source of area-level socioeconomic information. However, this data is less suitable for longitudinal analysis due to infrequent data collection and changes to administrative boundaries of census areas. This study aims to address these limitations by generating annual, geographically consistent Socio-Economic Indexes for Areas (SEIFA) from the Australian Bureau of Statistics (ABS) for 1996 – 2021.

Methods

Geographic Information Systems (GIS) were used to update historic spatial data to align with a set of contemporary boundaries. SEIFA estimates for non-census years were generated using linear interpolation.

Results

The final dataset includes 59,421 Statistical Area 1 s (SA1) after excluding areas with no SEIFA data for any census year. The methodology resulted in annual, spatially, and temporally consistent SEIFA data from 1996 to 2021 standardised to the 2021 SA1 boundaries.

Conclusion

Creating annual SEIFA data at a small geographic scale addresses key challenges associated with tracking area-level socioeconomic factors over time. By standardising data across multiple years, this approach maintains consistency in geographic units, to overcome potential limitations of using census data in longitudinal research.

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1996-2021年澳大利亚统计地区年度社会经济指数（SEIFA）数据的空间一致性

目的国家人口普查数据经常被用作地区一级社会经济信息的来源。然而，由于数据收集不频繁和人口普查地区行政边界的变化，这些数据不太适合进行纵向分析。本研究旨在通过生成1996 - 2021年澳大利亚统计局（ABS）的年度、地理上一致的地区社会经济指数（SEIFA）来解决这些局限性。方法利用地理信息系统（GIS）更新历史空间数据，使其与一组当代边界保持一致。非人口普查年份的SEIFA估计是使用线性插值生成的。结果最终数据集包括59,421个统计区1 s (SA1)，剔除了任何普查年份没有SEIFA数据的地区。该方法产生了1996年至2021年的年度、空间和时间一致的SEIFA数据，并将其标准化到2021年的SA1边界。在小地理范围内创建年度SEIFA数据解决了长期跟踪区域级社会经济因素相关的关键挑战。通过多年的数据标准化，这种方法保持了地理单位的一致性，克服了在纵向研究中使用人口普查数据的潜在局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annals of Epidemiology 医学-公共卫生、环境卫生与职业卫生

CiteScore

7.40

自引率

1.80%

发文量

207

审稿时长

59 days

期刊介绍： The journal emphasizes the application of epidemiologic methods to issues that affect the distribution and determinants of human illness in diverse contexts. Its primary focus is on chronic and acute conditions of diverse etiologies and of major importance to clinical medicine, public health, and health care delivery.