This takes the number of complaints where the watchdog found the council at fault and scales it by the local population, giving 'proven failures per 100,000 residents'. It matters because raw counts favour small councils: a big city will always have more upheld complaints in absolute terms. A high rate means residents here are unusually likely to be let down in a way the watchdog confirmed; a low rate means confirmed failures are rare for the area's size.
| name | lgsco_upheld_per_100k |
|---|---|
| dataset | 09-ombudsman-lgsco |
| kind | extracted |
| type | rate |
| unit | upheld decisions per 100,000 residents |
| grain | council-year |
| role | outcome |
| source | data/lgsco/2-Complaints-Decided-{yy}-{yy}.csv, column `Upheld decisions per 100,000 residents` |
| period | 2023-24 and 2024-25 editions |
| missingness | Rows exist only for councils in scope of LGSCO; `Upheld decisions per 100,000 residents` and rate columns are blank for zero-decision councils. Percent columns in file 2 are strings like `67%`. Join to Housing Ombudsman data is by name and lossy (ALMO/association names don't match council names). |
| score_note | Population-normalised fault volume, cross-council comparable and already computed by LGSCO. |
| peer_group | council class (district / county / unitary / metropolitan / London) — not yet scored on the leaderboard |
LGSCO's own population-normalised count of upheld decisions. Makes uphold volume comparable across councils of different sizes. Blank for councils with zero decisions — treat as missing, not zero.