# An inclusive economy dataset for wards in Great Britain using administrative and synthetic data sources

## TL;DR

Researchers created a detailed dataset to study economic inclusion at the ward level in Great Britain using administrative and synthetic data.

## Contribution

The novel contribution is a harmonized dataset combining administrative and synthetic data to assess economic inclusion at a granular spatial level.

## Key findings

- The dataset includes 13 indicators of economic inclusion for 7,973 wards in Great Britain.
- Validation against deprivation indices and other data confirmed the dataset's utility for research and policy.

## Abstract

To address the scarcity of small-area datasets focused on economic inclusion, we created a harmonised dataset describing the extent and enablers of economic inclusion in Great Britain. The result, the SIPHER (Systems Science in Public Health and Health Economics Research) Inclusive Economy (Ward Level) dataset, consists of 13 indicators describing economic inclusion at electoral ward level (N = 7,973 of 8,020 wards, 2022 boundaries), for 2019–2021. The dataset was curated based on administrative statistics (mostly open-source) and the SIPHER Synthetic Population, a validated, survey-based, full-scale synthetic population dataset derived from the UK Household Longitudinal Study (UKHLS): Understanding Society, and aggregate-level population statistics. The dataset also includes summary measures of population health – age-standardised Short Form Health Survey (SF-12) mental and physical health component scores – and supplementary demographic indicators describing the population structure. For validation, a range of comparisons against deprivation indices and other data provide strong evidence of the dataset’s added value and utility for applications in research and policy requiring high-quality estimates at a granular spatial resolution.