This counts the subset of anti-social behaviour cases that involved hate — abuse targeting someone's race, religion, disability, sexuality and so on — per 1,000 homes. These are among the most serious incidents a tenant can face at home. A high number may reflect real problems in an area or better recording of hate incidents; a low number is only reassuring if tenants also say they feel safe and well supported.
| name | tsm_asb_hate_cases_per_1000 |
|---|---|
| dataset | 10-tenant-satisfaction-measures |
| kind | extracted |
| type | rate |
| unit | cases /1,000 homes |
| grain | landlord-year |
| role | outcome |
| source | `data/TSM_2025_Full_Data/TSM_2025_Full_Data - File 04 - Management_info.csv`, column `NM01_2_Calculated_Value` |
| period | 2024/25 (year to 31 March 2025) |
| missingness | Stock-transfer (LSVT) councils are absent — they own no stock, so absence is structural, not missing data. Only large landlords (1,000+ social homes) report; Files 05/06 list excluded landlords. CH01/CH02 also have `_LCHO`/`_COMB` variants in File 04 — landlords reporting combined tenures carry values in the `_COMB` columns, so check variants before treating a value as missing. |
| score_note | Tiny counts; subset of NM01 with mostly noise at landlord level. |
| peer_group | registered landlords (RSH-regulated, 1,000+ homes) — not yet scored on the leaderboard |
ASB cases involving hate incidents opened per 1,000 homes (NM01·2, File 04, a subset of NM01·1). Small counts make rates volatile for smaller landlords; recording-practice differences matter. Numerator and denominator columns are present in File 04, so the rate can be recomputed or re-based.