Social Housing Decarbonisation Fund statistics: April 2026

This release includes measures installed and households upgraded under the Social Housing Decarbonisation Fund scheme. As part of the scheme monitoring, the analysis is shown by measure type and geographical region. The scheme covers England only. Data provided in the monthly release is 2 months in arrears. These statistics are provisional and are subject to future revisions. Enquiries about these statistics should be directed to: energyefficiency.stats@energysecurity.gov.uk Introduction The Social Housing Decarbonisation Fund (SHDF) is a government scheme designed to upgrade a significant amount of the social housing stock currently below Energy Performance Certificate (EPC) C up to that standard. The Government launched Wave 1 of the SHDF in August 2021. It awarded around £179m of grant funding for delivery from 2022 into 2023 for energy performance improvements to up to 20,000 social housing properties. Successful projects within Wave 2.1 of the SHDF were announced on 22 March 2023. Wave 2.1 of the SHDF awarded around £778m of grant funding to 104 projects, delivering from 2023 to 2026. Wave 2.2 of the SHDF awarded around £80m of grant funding from April 2024, building on the allocations made under the previous Wave 2.1 for delivery from 2024 to 2026. What you need to know about these statistics This release presents the latest statistics on the SHDF Wave 1, Wave 2.1 and Wave 2.2. SHDF Wave 1 is now closed and the statistics are based on returns from all 62 local authorities who participated in this wave. SHDF Wave 2.1 and Wave 2.2 are actively reporting. The data in these statistics are based on returns submitted by mid-April 2026, covering measure installations to the end of February 2026. The Wave 2.1 data is based on returns from 102 grant recipients, with completed installations reported by 82 grant recipients. The Wave 2.2 data is based on returns from 38 grant recipients, with completed installations reported by 29 grant recipients. All figures in this publication are provisional and subject to revision. Key statistics Total homes upgraded To the end of February 2026, there were around 136,900 measures installed in 63,600 households across SHDF Wave 1, Wave 2.1 and Wave 2.2. SHDF Wave 2.1 has delivered around 96,000 measures in 43,500 households, while Wave 2.2 has installed around 9,100 measures in 4,100 households up to the end of February 2026. Almost 100% of upgraded homes were improved to EPC band C or above under Wave 2.1 (35,000 households), and 99% under Wave 2.2 (3,110 households). This is based on the 81% (35,100 households) of all households for Wave 2.1 and 77% (3,130 households) for Wave 2.2, where pre and post installation EPC ratings are known and initial rating was band D or lower. Delivery by month To the end of February 2026, there have been around 96,000 measures installed in 43,500 households under SHDF Wave 2.1. This is an increase of 13,740 measures installed (17%) and 4,950 households upgraded (13%) compared to the March statistical release. Of this increase, 13,390 measures (97%) and 4,830 households (98%) came from upward revisions to previous months from Grant Recipients. As shown in Figure 1, 350 measures were installed in February 2026, 430 in January 2026 and 640 in December 2025 under Wave 2.1. There was a similar pattern in households upgraded, with 120 households upgraded in February 2026, 220 households in January 2026 and 210 in December 2025. It is likely that data, especially for the most recent months, will be revised upwards in future publications, but monthly upgrades for Wave 2.1 have decreased significantly from the 1,000-2,000 homes upgraded per month from January 2024-June 2025. There have been around 9,100 measures installed in 4,100 households under SHDF Wave 2.2 to the end of February 2026. This is an increase of 390 measures installed (4%) and 150 households upgraded (4%) compared to the March statistical release. Of this increase, 280 measures (73%) and 110 households (75%) came from upward revisions to previous months from Grant Recipients. There were 110 measures installed in February 2026, 140 in both January 2026 and December 2025. There was a similar pattern in households upgraded, with 40 households upgraded in February 2026, 50 households in both January 2026 and December 2025. It is likely that data, especially for the most recent months, will be revised upwards in future publications as more reports are received from Grant Recipients. Figure 1: Number of Measures Installed by Installation Month under SHDF Wave 1, Wave 2.1 and Wave 2.2 The data used in Figure 1 can be found in Table 1 of the Accompanying Tables . Delivery by measure type As shown in Figure 2, the majority of measures installed under SHDF Wave 2.1 have been insulation measures, accounting for 51% (48,900 measures) of the total 96,000 measures; this is followed by electricity related measures (such as Solar PV) accounting for 23% (22,100 measures); and measures to upgrade windows and doors (such as double or triple glazing) accounting for 17% (16,000 measures). Of the 9,100 measures installed under Wave 2.2, the most common measure types have been insulation measures accounting for 45% (4,100 measures), with electricity related measures accounting for 25% (2,300 measures) and windows and doors measures accounting for 15% (1,400 measures). Similar to the pattern for Wave 2.1, the majority of measures installed over the period under SHDF Wave 1 were insulation measures accounting for 59% (18,600 measures). Windows and door measures accounted for 23% and electricity related measures accounted for 13% of the total 31,700 measures installed. The most common single measure type installed under Wave 1, Wave 2.1 and Wave 2.2 is loft insulation, accounting for 23%, 25% and 26% of measures installed respectively. Figure 2: Percentage of Measures Installed by Measure Type under SHDF Wave 1, Wave 2.1 and Wave 2.2 (March 2022 to February 2026) Solid Wall contains External Solid Wall Insulation and Internal Solid Wall Insulation measures; Other insulation contains all roof and floor insulation measures; ASHP: Air Source Heat Pump; GSHP: Ground Source Heat Pump; Other heat contains all other forms of low carbon heat and heating controls measures not listed. The data used in Figure 2 can be found in Table 3.1, 3.2 and 3.3 of the Accompanying Tables . Delivery by region There have been 43,500 households upgraded under SHDF Wave 2.1 up to the end of February 2026, meaning they have at least one measure installed. Figure 3 shows that North West had the most households upgraded (9,100 households, 21%), followed by the West Midlands (6,200 households, 14%) and the East of England (5,200 households, 12%). Of the 4,100 households upgraded under SHDF Wave 2.2, the South East had the most households upgraded (860 households, 21%), followed by West Midlands and the North East (750 households, 18% each). Please note the regions have different population sizes and participating number of grant recipients across Wave 1, Wave 2.1 and Wave 2.2. Figure 3: Number of Households Upgraded under SHDF Wave 1, Wave 2.1 and Wave 2.2 by English Region (March 2022 to February 2026) The data used in Figure 3 can be found in Table 6.1, 6.2 and 6.3 of the Accompanying Tables . Delivery by property type As shown in Figure 4, the majority of measures were installed in houses under Wave 2.1 accounting for 78% (74,800 measures) of the total 96,000 measures; this is followed by bungalows accounting for 13% (12,700 measures) and flats accounting for 9% (8,400 measures). No measures were installed in Maisonettes. Similar to the pattern of Wave 2.1, the highest number of measures were installed in houses under Wave 2.2 accounting for 78% (7,200 measures) of the total 9,100 measures, followed by bungalows (1,500 measures, 16%) and flats (470 measures, 5%). No measures were installed in Maisonettes. Figure 4: Percentage of Measures Installed by Property Type under SHDF Wave 1, Wave 2.1 and Wave 2.2 (March 2022 to February 2026) Maisonettes and unknown property type feature less than 1% of measures installed across Wave 1, Wave 2.1, and Wave 2.2 and are not shown on this chart. The data used in Figure 4 can be found in Table 4.1, 4.2 and 4.3 of the Accompanying Tables . Annex: Further Information Next publication date The next publication will be released at 09:30am on Thursday 28 May 2026. Scheme Information More information on the SHDF scheme can be found on the SHDF Wave 1 website , SHDF Wave 2.1 website and SHDF Wave 2.2 website . Accompanying tables Tables showing number of measures installed and households upgraded under SHDF are available. Revisions policy The Department’s statistical revisions policy sets out the revisions policy for these statistics, which has been developed in accordance with the UK Statistics Authority Code of Practice for Statistics . User engagement Users are encouraged to provide comments and feedback on how these statistics are used and how well they meet user needs. Comments on any issues relating to this statistical release are welcomed and should be sent to: EnergyEfficiency.Stats@energysecurity.gov.uk . The Department’s statement on statistical public engagement and data standards sets out the department’s commitments on public engagement and data standards as outlined by the Code of Practice for Statistics. Pre-release access to statistics Some ministers and officials receive access to these Official Statistics up to 24 hours before release. Details of the arrangements for doing this and a list of the ministers and officials that receive pre-release access to these statistics can be found in the Department’s statement of compliance with the Pre-Release Access to Official Statistics Order 2008. Contact Responsible statisticians: Nick Dann and Christine Cheung Email: EnergyEfficiency.Stats@energysecurity.gov.uk Media enquiries: 020 7215 1000 Public enquiries: 0300 068 6838 ### Cover_sheet | Social Housing Decarbonisation Fund (SHDF) Statistics | | | --- | --- | | This spreadsheet contains a selection of data tables to provide an overview of the progression of the SHDF scheme. | | | The Government launched Wave 1 of the SHDF in August 2021. It awarded around £179m of grant funding for delivery from 2022 into 2023 for energy performance improvements in up to 20,000 social housing properties. | | | Successful projects within Wave 2.1 of the SHDF were announced on 22 March 2023. Wave 2.1 of the SHDF awarded around £778m of grant funding to 104 projects, delivering from 2023 to 2026. | | | Wave 2.2 of the SHDF awarded around £80m of grant funding from April 2024, building on the allocations made under the previous Wave 2.1 for delivery from 2024 to 2026. | | | Publication dates | | | The data tables in this spreadsheet were published at 09:30am Thursday 30 April 2026. | | | Data Coverage | | | Data covered in this release is for Wave 1, Wave 2.1 and Wave 2.2 delivery to the end of February 2026. | | | Data covered in this release is for England only, as the scheme only operates in England. | | | Units, notes and no data | | | Some cells in the tables refer to notes, which can be found in the 'Notes' worksheet. Note markers are presented in square brackets, for example: [note 1]. Some cells have no data, when this is the case cell is left blank. An explanation of why there is no data is given at the top of the worksheet. Some column headings give units, when this is the case the units are presented in round brackets to differentiate them from note markers. | | | Contact Details | | | Press Enquiries to the Press Officer: 020 7215 5975; or the news desk: 020 7215 1000 | | | Responsible Statisticians: Nick Dann and Christine Cheung | | | EnergyEfficiency.Stats@energysecurity.gov.uk | | | 0300 068 6838 | | | This workbook was updated on: | 30 April 2026 | | The next update for these statistics is: | 28 May 2026 | ### Contents | Table of contents | | | | | --- | --- | --- | --- | | Publication date: | =Cover_sheet!$B$25 | | | | Data Period: | 1 March 2022 to 28 February 2026 | | | | Geographical Coverage | England only | | | | All figures are provisional and subject to revision. | | | | | These table numbers are subject to change in future releases, as additional and more detailed analysis are included. | | | | | Table number | Table name | Date the data was last updated | Next publication date | | Notes | Notes used in this workbook | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | Benefits Estimates | Methodology of benefits estimates in Table 10.1, Table 10.2 and Table 10.3 | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | Summary | Summary | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | Charts | Charts visualising key statistics | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T1 | Table 1 - Number of Measures Installed by month | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T2 | Table 2 - Number of Households Upgraded by Month | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T3.1 | Table 3.1 - SHDF Wave 1 Number of Measures Installed and Average Measure Cost by Measure Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T3.2 | Table 3.2 - SHDF Wave 2.1 Number of Measures Installed and Average Measure Cost by Measure Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T3.3 | Table 3.3 - SHDF Wave 2.2 Number of Measures Installed and Average Measure Cost by Measure Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T4.1 | Table 4.1 - SHDF Wave 1 Number of Measures Installed by Measure Group and Property Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T4.2 | Table 4.2 - SHDF Wave 2.1 Number of Measures Installed by Measure Group and Property Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T4.3 | Table 4.3 - SHDF Wave 2.2 Number of Measures Installed by Measure Group and Property Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T5.1 | Table 5.1 - SHDF Wave 1 Number of Households upgraded and Measures installed by signed-up LA | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T5.2 | Table 5.2 - SHDF Wave 2.1 Number of Households upgraded and Measures installed by signed-up GR | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T5.3 | Table 5.3 - SHDF Wave 2.2 Number of Households upgraded and Measures installed by signed-up GR | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T6.1 | Table 6.1 - SHDF Wave 1 Number of Households Upgraded and Measures installed by English geographic region | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T6.2 | Table 6.2 - SHDF Wave 2.1 Number of Households Upgraded and Measures installed by English geographic region | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T6.3 | Table 6.3 - SHDF Wave 2.2 Number of Households Upgraded and Measures installed by English geographic region | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T7 | Table 7 - Number of Measures Installed and Households Upgraded by Parliamentary Constituency | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T8 | Table 8 - Number of Households upgraded and Measures installed by English Local Authority | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T9.1 | Table 9.1 - SHDF Wave 1 Pre and Post Install EPC Upgrade Matrix | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T9.2 | Table 9.2 - SHDF Wave 2.1 Pre and Post Install EPC Upgrade Matrix | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T9.3 | Table 9.3 - SHDF Wave 2.2 Pre and Post Install EPC Upgrade Matrix | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T10.1 | Table 10.1 - SHDF Wave 1 Estimated Annual and Lifetime Energy, Carbon and Bill Savings by Measure Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T10.2 | Table 10.2 - SHDF Wave 2.1 Estimated Annual and Lifetime Energy, Carbon and Bill Savings by Measure Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | | T10.3 | Table 10.3 - SHDF Wave 2.2 Estimated Annual and Lifetime Energy, Carbon and Bill Savings by Measure Type | =Cover_sheet!$B$25 | =Cover_sheet!$B$26 | ### Benefits Estimates | Estimated Average Annual Energy, Carbon and Bill Savings | | --- | | Table 10.1, 10.2 and 10.3 in the Social Housing Decarbonisation Fund (SHDF) Statistics contains benefit estimates for the scheme, including the energy savings and carbon emissions savings resulting from getting a measure installed. These are experimental statistics to provide an indication of the likely savings from the measures installed under the SHDF scheme. This document outlines the methodology used to estimate these benefits. | | The figures are estimates based on modelled consumption values, therefore should not be used to evaluate the SHDF scheme. | | Methodology similar to the benefit estimates produced for the Green Homes Grant Vouchers Statistics is used. A document outlining this can be found here: https://www.gov.uk/government/publications/green-homes-grant-vouchers-statistics-methodology-note | | National Housing Model (NHM) | | The benefits of each measure installed through the SHDF scheme, and subsequently monitored within the SHDF official statistics, will be estimated from the National Housing Model (NHM) commissioned by DESNZ from the Centre for Sustainable Energy (CSE). | | The NHM is a domestic energy-policy modelling and analytical tool covering the whole of Great Britain. It uses information from national housing surveys, including the English Housing Survey (EHS). It includes a detailed representation of the physical characteristics of Great Britain’s housing stock and categorisations of the associated types of occupants. The NHM is a micro-simulation model that allows analysts to create policy scenarios and explore the potential impacts on domestic energy demand over time. Further information on the NHM is available at: | | GOV.UK NHM - https://data.gov.uk/dataset/957eadbe-43b6-4d8d-b931-8594cb346ecd/national-household-model | | GOV.UK EHS - https://www.gov.uk/government/publications/english-housing-survey-quality-report | | NHM Version | | The NHM is commonly used by DESNZ policy teams to estimate the effects of policies on bill or carbon emissions savings. The NHM is periodically updated with data on government funded retrofit installations of measures and updating housing survey data, to ensure the NHM base housing stock reflects an up-to-date position. From the base stock, energy savings are calculated using the Standard Assessment Procedure (SAP) methodology. | | The basis for the SHDF benefits estimation uses an NHM output generated for all measure types. For each measure type, the NHM output has theoretically installed the measure in all the possible households that are able to have this measure. The NHM determines the associated energy saving from that measure installation and identifies the most efficient measures to install in each property. | | NHM In-use factors | | The NHM output contains in-use factors to adjust for the difference between theoretical and actual consumption. These factors are created by Ofgem, adjusted by the Clean Heat team within DESNZ and vary for each measure within the NHM.[note 1]. Details of these can be found in the separate methodology document. | | Comfort Factor | | A comfort factor of 15% is applied to reduce the modelled savings. Evidence suggests that once energy saving measures are installed in a home, the occupants tend to heat their home more due to decreased costs. This means that not all the modelled energy savings are realised.[note 2] | | Energy Savings Matrix | | Splitting the modelled savings by property characteristics allows the model to accurately tailor the savings to the properties installed on the SHDF scheme. A matrix of measure type and property archetype is calculated from the NHM output. Consumption and consumption savings vary by property. Every value in the matrix corresponds to a SHDF measure and archetype combination and has an associated average consumption saving. | | Conversion Factors | | To convert energy savings (kWh/yr) to bill savings (£/yr) and carbon emissions savings (kgCO2e/yr), conversion factors for each fuel are used. | | - To convert the energy saving to a bill saving, the 2020 domestic energy price is used based on the Quarterly Energy Price (QEP) publication and the Treasury’s Green Book. [note 4] | | - To convert the energy saving to a carbon emissions saving, the Greenhouse Gas Inventory (GHGI) and Treasury Green Book Conversion Factors are used. [note 5] [note 6] | | Assumptions | | Measure Alignment | | The measures offered on the SHDF scheme do not directly align to those contained within the NHM. Some assumptions for the missing measures are made. For example, the SHDF scheme offers types of roof and loft insulation (pitched roof, flat roof, room-in-roof etc), so within the NHM it is assumed that all are equivalent to loft insulation. Other notable assumptions are: | | · Internal and External Solid Wall Insulation are assumed to be External Solid Wall Insulation; | | · Energy Efficient Replacement Doors are assumed to be Draught Proofing; | | · Solid and Suspended Floor Insulation are assumed to be Floor Insulation. | | · Hybrid Heat Pump are assumed to have the savings equivalent to two-thirds of an Air Source Heat Pump. [note 3] | | A table for the alignment of measures types is provided in Annex A of the methodology. | | For biomass boilers and electric storage heaters, there is no modelled data to base the savings on. Therefore, further investigation of these measure types and a suitable proxy is being undertaken. | | Property Type Alignment | | To obtain missing property characteristics for properties on the SHDF scheme, the scheme data is matched to the National Energy Efficiency Data-Framework (NEED). To simplify the modelling, we have assumed some SHDF property types align to the same NHM property types. The least common property types have been grouped together, to ensure that the sample sizes of the combinations don’t become too small. | | Property Heating Source Pre-Installation | | To model the energy, carbon and bill savings, the pre-installation main heating source of the property was required. To obtain missing pre-installation main heating source of the property on the SHDF scheme, the scheme data is matched to the NEED, to identify if a property was on gas grid or off gas grid. This was then used as a flag in the modelling the savings, through the property archetype. In England in 2019/20, 14.0% of properties were estimated as being off gas grid. More information on the dataset used to determine the gas grid status of SHDF properties is available here: https://www.gov.uk/government/publications/regional-energy-data-guidance-note. | | Missing Characteristics | | The model is designed that where a characteristic is missing from the scheme data (for example, the property type is unknown), the energy saving is imputed from the average NHM saving with respect to the remaining available characteristics. | | Lifetime | | For energy and carbon savings, both the annual and lifetime savings were estimated. An assumed average lifetime for products of each measure type was used. These lifetimes are given in the Method Note and are based on those published by Ofgem. [note 7]. | | For the lifetime energy savings, the lifetime is applied to annual saving. | | For the lifetime carbon savings for all fuels except electricity, the lifetime is applied to the annual saving multiplied by the relevant fuel's carbon intensity factors. For the lifetime carbon saving from electricity, the annual saving is multiplied by the measure type lifetime and the projected carbon intensity factor for future years, for each year up to the measure lifetime. | | Lifetime savings are not provided for bill savings, due to variability in energy prices over time. | | While lifetime energy and carbon savings are provided for SHDF measures installed, these are not comparable to those lifetime savings estimated for the Energy Company Obligation (ECO). For ECO, a different methodology is used to estimate savings, based on a scoring methodology administered by Ofgem. |