Fuel poverty: sub-regional methodology and documentation
Provides an outline of the methodology used in compiling sub-regional fuel poverty statistics.
- From:
- Department for Energy Security and Net Zero
- Published
- 24 November 2011
- Last updated
-
2530 April20242025 — See all updates
Applies to England
Documents
Sub-regional fuel poverty statistics methodology: 20242025
PDF, 129158 KB, 6 pages
Details
The sub-regional fuel poverty modelling provides estimates of the level of fuel poverty at small geographical areas. It is based on national data drawn from the English Housing Survey (EHS).(EHS).
See Sub-regional fuel poverty 20242025 (2022(2023 data).
Updates to this page
Published 24 November 2011
Last updated 2530 April 2024
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Update history
2025-04-30 09:30
Updated sub-regional methodology handbook.
2024-04-25 09:30
Fuel poverty sub-regional statistics methodology updated alongside publication of Sub-regional fuel poverty 2024 (2022 data).
2023-04-27 09:30
Fuel poverty sub-regional statistics methodology updated alongside publication of 2021 sub-regional fuel poverty statistics.
2022-04-28 09:30
Fuel poverty sub-regional statistics methodology updated alongside publication of 2020 sub-regional fuel poverty statistics.
Details
The sub-regional fuel poverty modelling provides estimates of the level of fuel poverty at small geographical areas. It is based on national data drawn from the English Housing Survey (EHS).(EHS).
See Sub-regional fuel poverty 20242025 (2022(2023 data).
Updates to this page
Sign up for emails or print this page
Update history
2025-04-30 09:30
Updated sub-regional methodology handbook.
2024-04-25 09:30
Fuel poverty sub-regional statistics methodology updated alongside publication of Sub-regional fuel poverty 2024 (2022 data).
2023-04-27 09:30
Fuel poverty sub-regional statistics methodology updated alongside publication of 2021 sub-regional fuel poverty statistics.
2022-04-28 09:30
Fuel poverty sub-regional statistics methodology updated alongside publication of 2020 sub-regional fuel poverty statistics.