How fast the number of households the council houses in temporary accommodation is growing (or shrinking) from one quarter to the next, as a percentage. It shows the direction of travel: a positive number means more people are becoming stuck in emergency housing than are moving out of it, and costs are rising; a negative number means the council is getting on top of the problem.
| name | ta_caseload_growth_qoq |
|---|---|
| dataset | 06-hclic-temporary-accommodation |
| kind | constructed |
| type | rate |
| unit | percent per quarter |
| grain | local authority (England) |
| role | outcome |
| source | (ta_households_total(t) − ta_households_total(t−1)) ÷ ta_households_total(t−1), TA1 col 2 from the 202603 file vs the 202512_revised file |
| period | Q4 FY2025-26 vs Q3 FY2025-26 (revised) |
| missingness | Inherited from inputs: exclude England/region rows; treat suppressed/imputed values as missing, not zero; use the same LA code vintage on both sides of any cross-dataset join (reorganised councils change codes); inputs carry the H-CLIC rounding/imputation caveats. Previous-quarter figures are routinely revised — always use the revised edition for t−1; rounding makes growth rates noisy for small caseloads. |
| score_note | Needs two editions with revisions and code changes; trend context more than efficiency. |
| peer_group | council class (district / county / unitary / metropolitan / London) — not yet scored on the leaderboard |
Quarter-on-quarter percentage change in the TA caseload — the direction of travel. Sustained growth signals mounting pressure and future cost escalation; decline suggests effective prevention or move-on. Compare codes across editions carefully where councils have reorganised.