| Tree canopy cover | 10.4% (2021)
Estimate Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009737 (Cholsey)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Cholsey ward) applied directly to the parish -- 99.4% of the parish's area falls inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| 15.8% (2021)
Estimate ▼
Cholsey is worse Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009750 (Wallingford)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Wallingford ward) applied directly to the parish -- the parish lies wholly inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| 10.4% (2021)
Estimate ●
Cholsey is similar Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009737 (Cholsey)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Cholsey ward) applied directly to the parish -- 99.4% of the parish's area falls inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| 16.6% (2021)
Estimate ▼
Cholsey is worse Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009743 (Goring)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Goring ward) applied directly to the parish -- 99.8% of the parish's area falls inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| 10.4% (2021)
Estimate ●
Cholsey is similar Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009737 (Cholsey)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Cholsey ward) applied directly to the parish -- 99.4% of the parish's area falls inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| 10.4% (2021)
Estimate ●
Cholsey is similar Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009737 (Cholsey)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Cholsey ward) applied directly to the parish -- 99.4% of the parish's area falls inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| Not available | 9.40% (2021)
Estimate ▲
Cholsey is better Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009733 (Benson & Crowmarsh)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Benson & Crowmarsh ward) applied directly to the parish -- the parish lies wholly inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| 10.4% (2021)
Estimate ●
Cholsey is similar Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- ward E05009737 (Cholsey)
- Method
- area_weighted
- Flag
- parish_estimate — Ward-level canopy % (Cholsey ward) applied directly to the parish -- 99.4% of the parish's area falls inside this ward. Canopy density may not be uniform across the ward, so this is a ward-level estimate, not a parish-specific measurement (see ADR-0006).
- Retrieved
- 2026-10-03
| 19.0% (2021)
▼
Cholsey is worse Source: UK Ward Canopy Cover (2021) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2021
- Geography used
- 21 wards (area-weighted)
- Method
- area_weighted
- Flag
- none
- Retrieved
- 2026-10-03
| 14.4% (2020)
Partial coverage ▼
Cholsey is worse Source: UK Ward Canopy Cover (2020) - Source
- UK Ward Canopy Cover, Forest Research
- Year
- 2020
- Geography used
- 6135 wards (area-weighted, partial coverage)
- Method
- area_weighted
- Flag
- partial_coverage — Area-weighted average across the 6135 English ward records Forest Research's dataset actually has -- this covers 89.4% of England's current wards by count but only 54.6% of its real area, since the missing wards are disproportionately large/rural (see ADR-0009); this figure likely skews toward more urban canopy rates than true full-England coverage would show. Also blends multiple real survey years (2018-2023) into one figure, labelled with the modal year (2020).
- Retrieved
- 2026-10-03
|
| Accessible green space | 19.6 m² per resident (2021)
Partial coverage Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 35.4 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 64.0 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 28.3 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 19.2 m² per resident (2021)
Partial coverage ●
Cholsey is similar Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 54.3 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 65.0 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 56.5 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 71.5 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- parish boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the parish boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the mid-2021 parish estimate; the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 43.5 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- district boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the district boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the real Census 2021 total (not a mid-2021 estimate); the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
| 32.9 m² per resident (2021)
Partial coverage ▼
Cholsey is worse Source: OS Open Greenspace (2021) - Source
- OS Open Greenspace, Ordnance Survey
- Year
- 2021
- Geography used
- England boundary (BFC), clipped
- Method
- clip
- Flag
- partial_coverage — OS Open Greenspace sites within the England boundary, restricted to function types classed as publicly accessible (see ADR-0008); excludes allotments, religious grounds, cemeteries and golf courses. OS Open Greenspace itself does not include CRoW open-access country or common land, so this systematically undercounts true accessible green space, not just an estimate of the counted types. Population denominator is the Census 2021 England population (nomis); the greenspace layer itself is OS's current periodic-refresh snapshot, not dated to a single year.
- Retrieved
- 2026-09-30
|
| Domestic electricity consumption | 3,682 kWh per meter per year (2024)
Estimate Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 3 LSOAs (address-weighted): E01028619 (100.0%), E01035751 (100.0%), E01035752 (58.3%)
- Method
- address_weighted
- Flag
- parish_estimate — Address-weighted sum across 3 LSOAs (P1.5 NSUL address-count weights). At least one contributing LSOA is only partly in the parish, so that LSOA's meters/consumption are apportioned assuming its addresses inside and outside the parish consume similarly on average -- an estimate for that portion, not a direct measurement.
- Retrieved
- 2026-10-02
| 3,150 kWh per meter per year (2024)
Estimate ▼
Cholsey is worse Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 6 LSOAs (area-weighted): E01028608 (6.4%), E01028617 (14.7%), E01028674 (92.0%), E01028675 (99.6%), E01028676 (100.0%), E01028677 (99.8%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 6 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-10-02
| 4,300 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 1 LSOAs (address-weighted): E01035752 (41.7%)
- Method
- address_weighted
- Flag
- parish_estimate — Address-weighted sum across 1 LSOAs (P1.5 NSUL address-count weights). At least one contributing LSOA is only partly in the parish, so that LSOA's meters/consumption are apportioned assuming its addresses inside and outside the parish consume similarly on average -- an estimate for that portion, not a direct measurement.
- Retrieved
- 2026-10-02
| 4,666 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 2 LSOAs (area-weighted): E01028644 (81.3%), E01028686 (0.2%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 2 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-10-02
| 4,060 kWh per meter per year (2024)
Estimate ●
Cholsey is similar Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 5 LSOAs (area-weighted): E01028607 (44.3%), E01028608 (93.6%), E01028674 (2.1%), E01028675 (0.4%), E01028677 (0.1%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 5 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-10-02
| 5,595 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 1 LSOAs (area-weighted): E01028649 (31.7%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 1 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-10-02
| 6,362 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 1 LSOAs (area-weighted): E01016257 (40.8%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 1 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-10-02
| 4,091 kWh per meter per year (2024)
Estimate ●
Cholsey is similar Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 3 LSOAs (area-weighted): E01028677 (0.1%), E01035747 (100.0%), E01035748 (29.2%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 3 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-10-02
| 5,546 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 2 LSOAs (area-weighted): E01028628 (0.2%), E01028649 (20.4%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 2 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-10-02
| 4,184 kWh per meter per year (2024)
▲
Cholsey is better Source: Regional and local authority electricity/gas consumption statistics (2024) - Source
- Regional and local authority electricity/gas consumption statistics, DESNZ
- Year
- 2024
- Geography used
- DESNZ regional/local authority release (South Oxfordshire)
- Method
- direct
- Flag
- none
- Retrieved
- 2026-09-30
| 3,353 kWh per meter per year (2024)
●
Cholsey is similar Source: Regional and local authority electricity/gas consumption statistics (2024) - Source
- Regional and local authority electricity/gas consumption statistics, DESNZ
- Year
- 2024
- Geography used
- DESNZ regional/local authority release (England)
- Method
- direct
- Flag
- none
- Retrieved
- 2026-09-30
|
| Domestic gas consumption | 11,001 kWh per meter per year (2024)
Estimate Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 3 LSOAs (address-weighted): E01028619 (100.0%), E01035751 (100.0%), E01035752 (58.3%)
- Method
- address_weighted
- Flag
- parish_estimate — Address-weighted sum across 3 LSOAs (P1.5 NSUL address-count weights). At least one contributing LSOA is only partly in the parish, so that LSOA's meters/consumption are apportioned assuming its addresses inside and outside the parish consume similarly on average -- an estimate for that portion, not a direct measurement.
- Retrieved
- 2026-09-30
| 10,511 kWh per meter per year (2024)
Estimate ●
Cholsey is similar Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 6 LSOAs (area-weighted): E01028608 (6.4%), E01028617 (14.7%), E01028674 (92.0%), E01028675 (99.6%), E01028676 (100.0%), E01028677 (99.8%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 6 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-09-30
| 12,283 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 1 LSOAs (address-weighted): E01035752 (41.7%)
- Method
- address_weighted
- Flag
- parish_estimate — Address-weighted sum across 1 LSOAs (P1.5 NSUL address-count weights). At least one contributing LSOA is only partly in the parish, so that LSOA's meters/consumption are apportioned assuming its addresses inside and outside the parish consume similarly on average -- an estimate for that portion, not a direct measurement.
- Retrieved
- 2026-09-30
| 14,050 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 2 LSOAs (area-weighted): E01028644 (81.3%), E01028686 (0.2%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 2 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-09-30
| 13,456 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 5 LSOAs (area-weighted): E01028607 (44.3%), E01028608 (93.6%), E01028674 (2.1%), E01028675 (0.4%), E01028677 (0.1%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 5 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-09-30
| 19,088 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 1 LSOAs (area-weighted): E01028649 (31.7%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 1 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-09-30
| 20,175 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 1 LSOAs (area-weighted): E01016257 (40.8%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 1 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-09-30
| 10,691 kWh per meter per year (2024)
Estimate ●
Cholsey is similar Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 3 LSOAs (area-weighted): E01028677 (0.1%), E01035747 (100.0%), E01035748 (29.2%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 3 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-09-30
| 18,866 kWh per meter per year (2024)
Estimate ▲
Cholsey is better Source: Sub-national electricity and gas consumption (LSOA/MSOA) (2024) - Source
- Sub-national electricity and gas consumption (LSOA/MSOA), DESNZ
- Year
- 2024
- Geography used
- 2 LSOAs (area-weighted): E01028628 (0.2%), E01028649 (20.4%)
- Method
- area_weighted
- Flag
- parish_estimate — Area-weighted sum across 2 LSOAs (polygon intersection, not NSUL address counts -- comparator-level address weights aren't built yet, see STATUS.md backlog). Assumes addresses are evenly distributed across each contributing LSOA's area, which can differ from the real address-count share.
- Retrieved
- 2026-09-30
| 12,440 kWh per meter per year (2024)
▲
Cholsey is better Source: Regional and local authority electricity/gas consumption statistics (2024) - Source
- Regional and local authority electricity/gas consumption statistics, DESNZ
- Year
- 2024
- Geography used
- DESNZ regional/local authority release (South Oxfordshire)
- Method
- direct
- Flag
- none
- Retrieved
- 2026-09-30
| 11,391 kWh per meter per year (2024)
●
Cholsey is similar Source: Regional and local authority electricity/gas consumption statistics (2024) - Source
- Regional and local authority electricity/gas consumption statistics, DESNZ
- Year
- 2024
- Geography used
- DESNZ regional/local authority release (England)
- Method
- direct
- Flag
- none
- Retrieved
- 2026-09-30
|
| Solar PV uptake | 10.1 % of dwellings (2026)
Estimate Source: MCS Data Dashboard / installation data (2026) - Source
- MCS Data Dashboard / installation data, MCS (Microgeneration Certification Scheme)
- Year
- 2026
- Geography used
- South Oxfordshire (E07000179), MCS Data Dashboard
- Method
- direct
- Flag
- parish_estimate — MCS's public dashboard has no parish-level export -- South Oxfordshire's own household-uptake rate (value) is copied directly, unchanged, assuming similar renewable-uptake propensity to the wider district (ADR-0007, Q-011) -- `method=direct` reflects that no address-weighting arithmetic produces this value itself. Only the separate `estimated_installations` figure (not part of this schema) is backed out from Cholsey's real Census 2021 household share of South Oxfordshire's households.
- Retrieved
- 2026-09-30
| Not available | Not available | Not available | Not available | Not available | Not available | Not available | Not available | 10.1 % of dwellings (2026)
●
Cholsey is similar Source: MCS Data Dashboard / installation data (2026) - Source
- MCS Data Dashboard / installation data, MCS (Microgeneration Certification Scheme)
- Year
- 2026
- Geography used
- South Oxfordshire (E07000179), MCS Data Dashboard
- Method
- direct
- Flag
- none
- Retrieved
- 2026-09-30
| Not available |
| Heat pump uptake | 2.73 % of dwellings (2026)
Estimate Source: MCS Data Dashboard / installation data (2026) - Source
- MCS Data Dashboard / installation data, MCS (Microgeneration Certification Scheme)
- Year
- 2026
- Geography used
- South Oxfordshire (E07000179), MCS Data Dashboard
- Method
- direct
- Flag
- parish_estimate — MCS's public dashboard has no parish-level export -- South Oxfordshire's own household-uptake rate (value) is copied directly, unchanged, assuming similar renewable-uptake propensity to the wider district (ADR-0007, Q-011) -- `method=direct` reflects that no address-weighting arithmetic produces this value itself. Only the separate `estimated_installations` figure (not part of this schema) is backed out from Cholsey's real Census 2021 household share of South Oxfordshire's households.
- Retrieved
- 2026-09-30
| Not available | Not available | Not available | Not available | Not available | Not available | Not available | Not available | 2.73 % of dwellings (2026)
●
Cholsey is similar Source: MCS Data Dashboard / installation data (2026) - Source
- MCS Data Dashboard / installation data, MCS (Microgeneration Certification Scheme)
- Year
- 2026
- Geography used
- South Oxfordshire (E07000179), MCS Data Dashboard
- Method
- direct
- Flag
- none
- Retrieved
- 2026-09-30
| Not available |