IRRV Alert - week ending 26th April 2019
News
Publicity
Benefit expenditure and caseload tables 2019 (24 April 2019)
Research and analysis
Benefit expenditure and caseload tables 2019
Historic and forecast benefit expenditure and caseload data usually consistent with the annual Spring and Autumn Budgets or Statements.
Documents
Details
Outturn and forecast tables
These tables are produced under the terms of the Memorandum of Understanding with the Office for Budget Responsibility (OBR). They reflect the government’s delivery plans, and the OBR’s additional judgments as set out in their economic and fiscal outlook.
The ‘Outturn and forecast: Spring Statement 2019’ tables are consistent with the Spring Statement 2019 Economic and Fiscal Outlook,13 March 2019.
Data source
Stat-Xplore is an online tool for exploring some of the Department for Work and Pensions (DWP) main statistics. You can use Stat-Xplore to create your own tables and charts.
The move to publishing benefit data using Stat-Xplore, instead of the DWP Tabulation Tool, has involved adopting a new disclosure control methodology. This is in line with other benefits published using Stat-Xplore. The data still comes from the same source, but there may be small differences in the outputs displayed using the tool when compared to the statistical tables we’ve previously published.
More information
Historic expenditure figures may differ from those published in the accounts due to differing definitions and the inclusion of data that has become available since.
Historic caseload data comes from statistical reports. It may differ from previously published figures because these tables provide estimates for financial years, rather than point-in-time figures.
Some historical data may differ from that previously published where:
- new information has become available
- methods for estimating expenditure have been improved
Forecasts are made using a number of techniques appropriate to the particular benefits, taking into account demographic, economic, social and policy factors.