This records roughly how many homes the landlord owns or manages, as a size band rather than an exact number. It matters because scale changes everything: a landlord with 100,000 homes will naturally rack up more complaints and rulings than one with 2,000, so raw counts only make sense once you know the size. Use it to compare like with like, not as a performance measure itself.
| name | ho_size_band |
|---|---|
| dataset | 09-ombudsman-lgsco |
| kind | extracted |
| type | category |
| unit | banded homes owned/managed |
| grain | landlord-year |
| role | stratifier |
| source | data/housing-ombudsman/Tables-for-landlords-with-individual-performance-reports-2024-25.xlsx, sheet `Table 1`, column `Size band` |
| period | 2024-25 |
| missingness | Table rows exist only for landlords with 5+ findings in 2024-25 — treat absence as missing, not zero. Join to LGSCO/TSM data is by landlord name and lossy (ALMO/association names don't match council names). |
| score_note | Banded size stratifier only; TSM stock counts supersede it for normalisation. |
| peer_group | registered landlords (RSH-regulated, 1,000+ homes) — not yet scored on the leaderboard |
Banded count of homes the landlord owns or manages. Only a band, not an exact count, so it supports stratification but not precise stock normalisation — use TSM stock counts for that.