Family court statistics quarterly, England and Wales, \nApril to June 2019
Bibliographic record
Abstract
Main PointsDecrease in number of cases started in Family courts 64,813 new cases started in Family courts in April to June 2019, down 5% on April to June 2018, due to a 13% fall in matrimonial cases (44% of all case starts, mainly divorce proceedings), and a decrease in financial remedy (5%) and Children Act -Public law (4%) cases. On average, care proceedings took longer with fewer disposals within 26 weeksThe average time for a care or supervision case to reach first disposal was 33 weeks in April to June 2019, more than two weeks up from the same quarter in 2018.41% of cases were disposed of within 26 weeksdown 7 percentage points compared with the same period for 2018. Increase in average time of divorce proceedingsThe mean average time from petition to Decree Nisi was 33 weeks, and Decree Absolute was 58 weeks, -up 5 and 3 weeks respectively compared to the equivalent quarter in 2018.The median time to Decree Nisi was 27 weeks and 41 weeks to Decree Absolute, each up 6 weeks compared to the same period in 2018. Decrease in the number of divorce petitionsThere were 28,144 divorce petitions made in April to June 2019, down 13% on the equivalent quarter in 2018.In April to June 2019 there were 11,129 digital petitions made (40% of all petitions). Increase in Children Act -Private law applications and number of cases startedIn April to June 2019, there were 13,424 Private law cases started, up 3% on the same quarter in 2018.Applications also increased by 3%. Increase in the number of domestic violence remedy applications and orders madeThe number of domestic violence remedy order applications increased by 16% compared to the equivalent quarter in 2018.The number of domestic violence remedy orders made increased by 11% over the same period. Adoption applications and orders down following two quarters of increasesIn April to June 2019, there were 1,230 adoption applications, down 2% on the equivalent quarter in 2018.Over the same period the number of adoption orders issued decreased by 6% to 1,202. Increase in applications and orders made in relation to deprivation of libertyThere were 1,372 applications relating to deprivation of liberty in April to June 2019, up 18% on the equivalent quarter in 2018.Deprivation of liberty orders were up 17% over the same period.This publication presents statistics on activity in the family courts of England and Wales and provides figures for the latest quarter (April to June 2019).For further information and technical details please refer to the accompanying Guide to Family Court Statistics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.147 | 0.105 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".