PayCheck – UK Household Income Estimates at Postcode Level

PayCheck provides statistically robust gross household income estimates for all 1.6 million UK residential postcodes, enabling detailed analysis of local affluence, spending power, and demand potential. 

Built using CACI’s extensive proprietary datasets in combination with official survey data, Pay Check delivers a consistent and reliable household income model covering income from all major sources, including: 

- Earnings 

- Benefits 

- Investments 

The dataset provides multiple income indicators per postcode to support flexible analysis, modelling, and targeting strategies. 

What’s Included 

Coverage 

- All current UK residential postcodes (~1.6 million) 

- Full postcode-level household income modelling 

Income Metrics per Postcode 

- Mean gross household income 

- Median gross household income 

- Mode gross household income 

- Total household count 

Income Distribution (26 Bands from £0–£200,000+) <br/>Each postcode includes household counts across 26 structured income bands, enabling precise modelling of income distribution rather than reliance on averages alone. 

How It Works in Snowflake 

1. Join PayCheck to customer records using postcode 

2. Append mean, median or income band attributes 

3. Aggregate to catchment, local authority, or regional level 

4. Analyse and visualise directly within Snowflake or connected BI tools 

PayCheck integrates seamlessly with postcode-based datasets and supports both batch analytics and near real-time digital enrichment. 

Data dictionaries are provided to support interpretation and governance. 

Key Benefits 

- Nationwide postcode-level coverage 

- Reliable and statistically consistent modelling 

- Multiple income indicators (mean, median, mode) 

- Full distribution across 26 income bands 

- Ideal for affluence modelling and demand forecasting 

- Easy integration into Snowflake analytics workflows

搜集汇总

背景与挑战

背景概述

PayCheck数据集提供了全英国约160万个住宅邮政编码的统计稳健家庭总收入估计，基于专有和官方数据构建，覆盖工资、福利和投资等收入来源。它包含每个邮政编码的均值、中位数、众数收入以及26个收入区间的分布，支持在Snowflake等平台中集成，用于当地富裕程度分析和需求预测。