BLACK THRIVE GLOBAL / SEARCHLIGHT
Evidence and assumptions
West Yorkshire and Dyfed-Powys: May-July 2026
4,657 recorded events; 2,280 have Unknown self-defined ethnicity. Generated 2026-09-16 13:30:07 UTC.
Recorded searches are events, not unique people. An event-rate ratio is not a person's probability of being searched. Unknown ethnicity remains visible.
Submission coverage
This table describes the selected source files, including after records are filtered. A missing submission is unavailable data, never zero searches. The event count above describes the records supplied to this report. Suspected partial submissions and revisions remain flagged.
| force_id | month | n_records | status | trailing_median | changelog_note |
|---|---|---|---|---|---|
| dyfed-powys | 2026-05 | NA | missing | NA | Dyfed-Powys Police: Stop and search data not provided for May 2026. The force will provide a data refresh as soon as possible. |
| dyfed-powys | 2026-06 | NA | missing | NA | Dyfed-Powys Police: Stop and search data not provided for June 2026. The force will provide a data refresh as soon as possible. |
| dyfed-powys | 2026-07 | NA | missing | NA | Dyfed-Powys Police: Stop and search data not provided for July 2026. The force will provide a data refresh as soon as possible. |
| west-yorkshire | 2026-05 | 1659 | submitted | NA | NA |
| west-yorkshire | 2026-06 | 1466 | submitted | 1659.0 | NA |
| west-yorkshire | 2026-07 | 1532 | submitted | 1562.5 | NA |
Time and location quality
Timestamp diagnostics are screening rules, not proof that times are accurate. Darkness analysis excludes force-months that fail or lack a reliable-time flag.
| force_id | month | n_records | midnight_share | missing_time_share | source_midnight_share | gating_midnight_share | time_reliable | force_midnight_range |
|---|---|---|---|---|---|---|---|---|
| dyfed-powys | 2026-05 | NA | NA | NA | NA | NA | FALSE | NA |
| dyfed-powys | 2026-06 | NA | NA | NA | NA | NA | FALSE | NA |
| dyfed-powys | 2026-07 | NA | NA | NA | NA | NA | FALSE | NA |
| west-yorkshire | 2026-05 | 1659 | 0.0102470 | 0 | 0.0096444 | 0.0102470 | TRUE | 0.0048105 |
| west-yorkshire | 2026-06 | 1466 | 0.0075034 | 0 | 0.0095498 | 0.0095498 | TRUE | 0.0048105 |
| west-yorkshire | 2026-07 | 1532 | 0.0110970 | 0 | 0.0143600 | 0.0143600 | TRUE | 0.0048105 |
Coordinates are anonymised snap points. Boundary sensitivity measures proximity to a geography edge; it does not measure or correct true location error. The boundary-sensitive share uses assigned events with measured distances. Missing-coordinate and unassigned shares use all supplied events.
| type | missing_coordinate_share | unassigned_share | boundary_sensitive_share | ambiguous_share | threshold_m |
|---|---|---|---|---|---|
| lsoa21 | 0.034572 | 0.038437 | 0.49285 | 0 | 50 |
| msoa21 | 0.034572 | 0.038437 | 0.24386 | 0 | 50 |
Estimates
Each supplied analysis retains its own scope, exposures and exclusions. Rates use submitted population-time. Sampling intervals condition on the model and denominator. They do not quantify uncertainty about unobserved ethnicity, population movement, Census measurement or incomplete submissions.
Four-MSOA event-rate ratios
Estimates and sampling uncertainty
| force_id | geography_code | reference | comparison | ratio | conf_low | conf_high | conf_level | method | dispersion | n_reference | n_comparison | exposure_reference | exposure_comparison | estimable | excluded_pair_events | unknown_events |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| west-yorkshire | E02002237 | White | Black | 0.00000 | 0.0000000 | 7.45060 | 0.95 | poisson | NA | 18 | 0 | 1416.80 | 43.25 | TRUE | 0 | 47 |
| west-yorkshire | E02002454 | White | Black | 0.20118 | 0.0050245 | 1.15710 | 0.95 | poisson | 2.3958 | 72 | 1 | 1434.00 | 99.00 | TRUE | 0 | 31 |
| west-yorkshire | E02006875 | White | Black | 0.28094 | 0.0574420 | 0.83319 | 0.95 | poisson | 2.9566 | 196 | 3 | 1564.80 | 85.25 | TRUE | 0 | 153 |
| west-yorkshire | E02006948 | White | Black | 0.14672 | 0.0390710 | 0.38982 | 0.95 | poisson | 0.5000 | 84 | 4 | 408.25 | 132.50 | TRUE | 0 | 127 |
Analysis scope and assumptions
{ "analysis": { "geography": "msoa21", "ethnicity": "ethnicity_5", "classification": "5", "scheme": "self-defined", "area_universe": "explicit units", "strata": ["force_id", "geography_code"], "rate_scale": 1000, "time_unit": "person-years; submitted months / 12" }, "scope": { "n_rows": 72, "force_months": [ { "force_id": "west-yorkshire", "month": "2026-05" }, { "force_id": "west-yorkshire", "month": "2026-06" }, { "force_id": "west-yorkshire", "month": "2026-07" } ] }, "population": { "source": "NOMIS", "table_id": "NM_2041_1", "vintage": "2021-03-21", "classification": "5", "geography": "msoa21", "retrieved": "2026-09-16 11:00:20", "codes": ["E02002183", "E02002184", "E02002185", "E02002187", "E02002188", "E02002189", "E02002190", "E02002191", "E02002192", "E02002193", "E02002194", "E02002195", "E02002196", "E02002197", "E02002198", "E02002199", "E02002200", "E02002201", "E02002202", "E02002203", "E02002204", "E02002205", "E02002206", "E02002207", "E02002208", "E02002209", "E02002210", "E02002211", "E02002212", "E02002213", "E02002214", "E02002215", "E02002216", "E02002217", "E02002218", "E02002219", "E02002220", "E02002222", "E02002223", "E02002224", "E02002225", "E02002226", "E02002227", "E02002228", "E02002229", "E02002230", "E02002231", "E02002232", "E02002233", "E02002234", "E02002235", "E02002236", "E02002237", "E02002238", "E02002239", "E02002240", "E02002241", "E02002242", "E02002243", "E02002244", "E02002245", "E02002246", "E02002247", "E02002248", "E02002249", "E02002250", "E02002251", "E02002252", "E02002253", "E02002254", "E02002255", "E02002256", "E02002257", "E02002258", "E02002259", "E02002260", "E02002261", "E02002262", "E02002263", "E02002264", "E02002265", "E02002266", "E02002267", "E02002268", "E02002269", "E02002270", "E02002271", "E02002272", "E02002273", "E02002274", "E02002275", "E02002276", "E02002277", "E02002278", "E02002279", "E02002280", "E02002281", "E02002282", "E02002283", "E02002284", "E02002285", "E02002286", "E02002287", "E02002288", "E02002289", "E02002290", "E02002291", "E02002292", "E02002293", "E02002294", "E02002295", "E02002296", "E02002297", "E02002298", "E02002299", "E02002300", "E02002301", "E02002302", "E02002303", "E02002304", "E02002305", "E02002306", "E02002307", "E02002308", "E02002309", "E02002310", "E02002311", "E02002312", "E02002313", "E02002314", "E02002315", "E02002316", "E02002317", "E02002318", "E02002319", "E02002320", "E02002321", "E02002322", "E02002323", "E02002324", "E02002325", "E02002326", "E02002327", "E02002328", "E02002329", "E02002330", "E02002331", "E02002332", "E02002333", "E02002334", "E02002335", "E02002336", "E02002337", "E02002338", "E02002339", "E02002340", "E02002341", "E02002342", "E02002343", "E02002344", "E02002345", "E02002346", "E02002347", "E02002348", "E02002349", "E02002350", "E02002351", "E02002352", "E02002353", "E02002354", "E02002356", "E02002357", "E02002358", "E02002359", "E02002360", "E02002361", "E02002362", "E02002363", "E02002364", "E02002366", "E02002367", "E02002368", "E02002369", "E02002370", "E02002371", "E02002373", "E02002374", "E02002375", "E02002376", "E02002377", "E02002379", "E02002380", "E02002381", "E02002382", "E02002383", "E02002384", "E02002385", "E02002386", "E02002387", "E02002388", "E02002389", "E02002390", "E02002391", "E02002392", "E02002393", "E02002394", "E02002395", "E02002396", "E02002397", "E02002398", "E02002399", "E02002400", "E02002401", "E02002402", "E02002403", "E02002404", "E02002405", "E02002406", "E02002407", "E02002408", "E02002409", "E02002410", "E02002411", "E02002412", "E02002414", "E02002415", "E02002416", "E02002417", "E02002418", "E02002419", "E02002420", "E02002421", "E02002422", "E02002423", "E02002424", "E02002425", "E02002426", "E02002427", "E02002428", "E02002429", "E02002430", "E02002431", "E02002432", "E02002433", "E02002434", "E02002435", "E02002436", "E02002437", "E02002438", "E02002439", "E02002440", "E02002441", "E02002442", "E02002443", "E02002444", "E02002445", "E02002446", "E02002447", "E02002448", "E02002449", "E02002450", "E02002451", "E02002452", "E02002453", "E02002454", "E02002455", "E02002456", "E02002457", "E02002458", "E02002459", "E02002460", "E02002461", "E02002462", "E02002463", "E02002464", "E02002465", "E02002466", "E02002467", "E02002468", "E02002469", "E02002470", "E02002471", "E02002472", "E02002473", "E02002474", "E02002475", "E02002476", "E02002477", "E02002478", "E02002479", "E02002480", "E02002481", "E02002482", "E02006852", "E02006861", "E02006875", "E02006876", "E02006945", "E02006946", "E02006947", "E02006948", "W02000097", "W02000098", "W02000099", "W02000100", "W02000101", "W02000102", "W02000103", "W02000104", "W02000105", "W02000106", "W02000107", "W02000108", "W02000109", "W02000110", "W02000111", "W02000113", "W02000114", "W02000116", "W02000117", "W02000118", "W02000120", "W02000122", "W02000123", "W02000124", "W02000125", "W02000126", "W02000127", "W02000128", "W02000129", "W02000130", "W02000131", "W02000132", "W02000133", "W02000134", "W02000135", "W02000136", "W02000137", "W02000138", "W02000139", "W02000140", "W02000141", "W02000142", "W02000143", "W02000144", "W02000145", "W02000146", "W02000147", "W02000148", "W02000149", "W02000151", "W02000152", "W02000153", "W02000154", "W02000156", "W02000157", "W02000158", "W02000159", "W02000160", "W02000161", "W02000162", "W02000163", "W02000164", "W02000165", "W02000166", "W02000167", "W02000414", "W02000416", "W02000418", "W02000421"], "url": "https://www.nomisweb.co.uk/api/v01/", "cross_tabulation": false }, "assumptions": null, "mcmc_settings": null }
Missing-ethnicity allocation
Sampling uncertainty
- baseline exact Poisson intervals conditional on recorded ethnicity
| force_id | geography_code | reference | comparison | ratio | conf_low | conf_high | conf_level | method | dispersion | n_reference | n_comparison | exposure_reference | exposure_comparison | estimable | excluded_pair_events | unknown_events |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| west-yorkshire | E02002237 | White | Black | 0.00000 | 0.0000000 | 7.45060 | 0.95 | poisson | NA | 18 | 0 | 1416.80 | 43.25 | TRUE | 0 | 47 |
| west-yorkshire | E02002454 | White | Black | 0.20118 | 0.0050245 | 1.15710 | 0.95 | poisson | 2.3958 | 72 | 1 | 1434.00 | 99.00 | TRUE | 0 | 31 |
| west-yorkshire | E02006875 | White | Black | 0.28094 | 0.0574420 | 0.83319 | 0.95 | poisson | 2.9566 | 196 | 3 | 1564.80 | 85.25 | TRUE | 0 | 153 |
| west-yorkshire | E02006948 | White | Black | 0.14672 | 0.0390710 | 0.38982 | 0.95 | poisson | 0.5000 | 84 | 4 | 408.25 | 132.50 | TRUE | 0 | 127 |
Assumption range
- lower_bound and upper_bound allocate all Unknown between the two groups
| force_id | geography_code | scenario | ratio | unknown | allocated_reference | allocated_comparison | lower_bound | upper_bound | tipping_allocation | available | tipping_feasible | observed_ratio |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| west-yorkshire | E02002237 | all_to_reference | 0.00000 | 47 | 47.000 | 0.00000 | 0.00000 | 85.5330 | 0.040968 | TRUE | TRUE | 0.00000 |
| west-yorkshire | E02002237 | all_to_comparison | 85.53300 | 47 | 0.000 | 47.00000 | 0.00000 | 85.5330 | 0.040968 | TRUE | TRUE | 0.00000 |
| west-yorkshire | E02002237 | proportional | 0.00000 | 47 | 35.250 | 0.00000 | 0.00000 | 85.5330 | 0.040968 | TRUE | TRUE | 0.00000 |
| west-yorkshire | E02002237 | force_object_mar | 0.48606 | 47 | 42.184 | 0.89302 | 0.00000 | 85.5330 | 0.040968 | TRUE | TRUE | 0.00000 |
| west-yorkshire | E02002454 | all_to_reference | 0.14063 | 31 | 31.000 | 0.00000 | 0.14063 | 6.4377 | 0.184390 | TRUE | TRUE | 0.20118 |
| west-yorkshire | E02002454 | all_to_comparison | 6.43770 | 31 | 0.000 | 31.00000 | 0.14063 | 6.4377 | 0.184390 | TRUE | TRUE | 0.20118 |
| west-yorkshire | E02002454 | proportional | 0.20118 | 31 | 29.760 | 0.41333 | 0.14063 | 6.4377 | 0.184390 | TRUE | TRUE | 0.20118 |
| west-yorkshire | E02002454 | force_object_mar | 0.23196 | 31 | 27.787 | 0.59797 | 0.14063 | 6.4377 | 0.184390 | TRUE | TRUE | 0.20118 |
| west-yorkshire | E02006875 | all_to_reference | 0.15778 | 153 | 153.000 | 0.00000 | 0.15778 | 14.6090 | 0.099259 | TRUE | TRUE | 0.28094 |
| west-yorkshire | E02006875 | all_to_comparison | 14.60900 | 153 | 0.000 | 153.00000 | 0.15778 | 14.6090 | 0.099259 | TRUE | TRUE | 0.28094 |
| west-yorkshire | E02006875 | proportional | 0.28094 | 153 | 143.480 | 2.19620 | 0.15778 | 14.6090 | 0.099259 | TRUE | TRUE | 0.28094 |
| west-yorkshire | E02006875 | force_object_mar | 0.36194 | 153 | 135.790 | 3.54250 | 0.15778 | 14.6090 | 0.099259 | TRUE | TRUE | 0.28094 |
| west-yorkshire | E02006948 | all_to_reference | 0.05841 | 127 | 127.000 | 0.00000 | 0.05841 | 4.8051 | 0.383320 | TRUE | TRUE | 0.14672 |
| west-yorkshire | E02006948 | all_to_comparison | 4.80510 | 127 | 0.000 | 127.00000 | 0.05841 | 4.8051 | 0.383320 | TRUE | TRUE | 0.14672 |
| west-yorkshire | E02006948 | proportional | 0.14672 | 127 | 103.570 | 4.93200 | 0.05841 | 4.8051 | 0.383320 | TRUE | TRUE | 0.14672 |
| west-yorkshire | E02006948 | force_object_mar | 0.10607 | 127 | 113.720 | 2.80670 | 0.05841 | 4.8051 | 0.383320 | TRUE | TRUE | 0.14672 |
Analysis scope and assumptions
{ "analysis": { "geography": "msoa21", "ethnicity": "ethnicity_5", "classification": "5", "scheme": "self-defined", "area_universe": "explicit units", "strata": ["force_id", "msoa21", "object_group"] }, "scope": { "n_rows": 360, "force_months": [ { "force_id": "west-yorkshire", "month": "2026-05" }, { "force_id": "west-yorkshire", "month": "2026-06" }, { "force_id": "west-yorkshire", "month": "2026-07" } ] }, "population": { "source": "NOMIS", "table_id": "NM_2041_1", "vintage": "2021-03-21", "classification": "5", "geography": "msoa21", "retrieved": "2026-09-16 11:00:20", "codes": ["E02002183", "E02002184", "E02002185", "E02002187", "E02002188", "E02002189", "E02002190", "E02002191", "E02002192", "E02002193", "E02002194", "E02002195", "E02002196", "E02002197", "E02002198", "E02002199", "E02002200", "E02002201", "E02002202", "E02002203", "E02002204", "E02002205", "E02002206", "E02002207", "E02002208", "E02002209", "E02002210", "E02002211", "E02002212", "E02002213", "E02002214", "E02002215", "E02002216", "E02002217", "E02002218", "E02002219", "E02002220", "E02002222", "E02002223", "E02002224", "E02002225", "E02002226", "E02002227", "E02002228", "E02002229", "E02002230", "E02002231", "E02002232", "E02002233", "E02002234", "E02002235", "E02002236", "E02002237", "E02002238", "E02002239", "E02002240", "E02002241", "E02002242", "E02002243", "E02002244", "E02002245", "E02002246", "E02002247", "E02002248", "E02002249", "E02002250", "E02002251", "E02002252", "E02002253", "E02002254", "E02002255", "E02002256", "E02002257", "E02002258", "E02002259", "E02002260", "E02002261", "E02002262", "E02002263", "E02002264", "E02002265", "E02002266", "E02002267", "E02002268", "E02002269", "E02002270", "E02002271", "E02002272", "E02002273", "E02002274", "E02002275", "E02002276", "E02002277", "E02002278", "E02002279", "E02002280", "E02002281", "E02002282", "E02002283", "E02002284", "E02002285", "E02002286", "E02002287", "E02002288", "E02002289", "E02002290", "E02002291", "E02002292", "E02002293", "E02002294", "E02002295", "E02002296", "E02002297", "E02002298", "E02002299", "E02002300", "E02002301", "E02002302", "E02002303", "E02002304", "E02002305", "E02002306", "E02002307", "E02002308", "E02002309", "E02002310", "E02002311", "E02002312", "E02002313", "E02002314", "E02002315", "E02002316", "E02002317", "E02002318", "E02002319", "E02002320", "E02002321", "E02002322", "E02002323", "E02002324", "E02002325", "E02002326", "E02002327", "E02002328", "E02002329", "E02002330", "E02002331", "E02002332", "E02002333", "E02002334", "E02002335", "E02002336", "E02002337", "E02002338", "E02002339", "E02002340", "E02002341", "E02002342", "E02002343", "E02002344", "E02002345", "E02002346", "E02002347", "E02002348", "E02002349", "E02002350", "E02002351", "E02002352", "E02002353", "E02002354", "E02002356", "E02002357", "E02002358", "E02002359", "E02002360", "E02002361", "E02002362", "E02002363", "E02002364", "E02002366", "E02002367", "E02002368", "E02002369", "E02002370", "E02002371", "E02002373", "E02002374", "E02002375", "E02002376", "E02002377", "E02002379", "E02002380", "E02002381", "E02002382", "E02002383", "E02002384", "E02002385", "E02002386", "E02002387", "E02002388", "E02002389", "E02002390", "E02002391", "E02002392", "E02002393", "E02002394", "E02002395", "E02002396", "E02002397", "E02002398", "E02002399", "E02002400", "E02002401", "E02002402", "E02002403", "E02002404", "E02002405", "E02002406", "E02002407", "E02002408", "E02002409", "E02002410", "E02002411", "E02002412", "E02002414", "E02002415", "E02002416", "E02002417", "E02002418", "E02002419", "E02002420", "E02002421", "E02002422", "E02002423", "E02002424", "E02002425", "E02002426", "E02002427", "E02002428", "E02002429", "E02002430", "E02002431", "E02002432", "E02002433", "E02002434", "E02002435", "E02002436", "E02002437", "E02002438", "E02002439", "E02002440", "E02002441", "E02002442", "E02002443", "E02002444", "E02002445", "E02002446", "E02002447", "E02002448", "E02002449", "E02002450", "E02002451", "E02002452", "E02002453", "E02002454", "E02002455", "E02002456", "E02002457", "E02002458", "E02002459", "E02002460", "E02002461", "E02002462", "E02002463", "E02002464", "E02002465", "E02002466", "E02002467", "E02002468", "E02002469", "E02002470", "E02002471", "E02002472", "E02002473", "E02002474", "E02002475", "E02002476", "E02002477", "E02002478", "E02002479", "E02002480", "E02002481", "E02002482", "E02006852", "E02006861", "E02006875", "E02006876", "E02006945", "E02006946", "E02006947", "E02006948", "W02000097", "W02000098", "W02000099", "W02000100", "W02000101", "W02000102", "W02000103", "W02000104", "W02000105", "W02000106", "W02000107", "W02000108", "W02000109", "W02000110", "W02000111", "W02000113", "W02000114", "W02000116", "W02000117", "W02000118", "W02000120", "W02000122", "W02000123", "W02000124", "W02000125", "W02000126", "W02000127", "W02000128", "W02000129", "W02000130", "W02000131", "W02000132", "W02000133", "W02000134", "W02000135", "W02000136", "W02000137", "W02000138", "W02000139", "W02000140", "W02000141", "W02000142", "W02000143", "W02000144", "W02000145", "W02000146", "W02000147", "W02000148", "W02000149", "W02000151", "W02000152", "W02000153", "W02000154", "W02000156", "W02000157", "W02000158", "W02000159", "W02000160", "W02000161", "W02000162", "W02000163", "W02000164", "W02000165", "W02000166", "W02000167", "W02000414", "W02000416", "W02000418", "W02000421"], "url": "https://www.nomisweb.co.uk/api/v01/", "cross_tabulation": false }, "assumptions": null, "mcmc_settings": null }
Count regression
Estimates and sampling uncertainty
| term | estimate | std_error | statistic | p_value | exp_estimate | conf_low | conf_high |
|---|---|---|---|---|---|---|---|
| (Intercept) | -4.8909 | 0.22361 | -21.873000 | 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000047144 | 0.00751460000 | 0.0048481 | 0.011648 |
| ethnicityBlack | 1.0843 | 0.41833 | 2.591900 | 0.00954600000000000066535665865785631467588245868682861328125000000000000000000000000000000000000000000000000000 | 2.95720000000 | 1.3026000 | 6.713800 |
| ethnicityMixed | -15.5350 | 988.00000 | -0.015724 | 0.98745000000000004991562718714703805744647979736328125000000000000000000000000000000000000000000000000000000000 | 0.00000017911 | 0.0000000 | Inf |
| ethnicityOther | 1.5263 | 0.35626 | 4.284100 | 0.00001834600000000000019281798380177406215807422995567321777343750000000000000000000000000000000000000000000000 | 4.60100000000 | 2.2888000 | 9.249200 |
| ethnicityWhite | 2.3231 | 0.22957 | 10.119000 | 0.00000000000000000000000453360000000000038823666503873255351209081709384918212890625000000000000000000000000000 | 10.20700000000 | 6.5088000 | 16.008000 |
diagnostics
{ "dispersion": 5.6402, "residual_df": 55, "moran": { "status": "not evaluated: supply area boundaries" }, "converged": true }
excluded
{ "rows": 12, "events": 358 }
Analysis scope and assumptions
{ "analysis": { "geography": "msoa21", "ethnicity": "ethnicity_5", "classification": "5", "scheme": "self-defined", "area_universe": "explicit units", "strata": ["force_id", "geography_code"], "rate_scale": 1000, "time_unit": "person-years; submitted months / 12" }, "scope": { "n_rows": 72, "force_months": [ { "force_id": "west-yorkshire", "month": "2026-05" }, { "force_id": "west-yorkshire", "month": "2026-06" }, { "force_id": "west-yorkshire", "month": "2026-07" } ] }, "population": { "source": "NOMIS", "table_id": "NM_2041_1", "vintage": "2021-03-21", "classification": "5", "geography": "msoa21", "retrieved": "2026-09-16 11:00:20", "codes": ["E02002183", "E02002184", "E02002185", "E02002187", "E02002188", "E02002189", "E02002190", "E02002191", "E02002192", "E02002193", "E02002194", "E02002195", "E02002196", "E02002197", "E02002198", "E02002199", "E02002200", "E02002201", "E02002202", "E02002203", "E02002204", "E02002205", "E02002206", "E02002207", "E02002208", "E02002209", "E02002210", "E02002211", "E02002212", "E02002213", "E02002214", "E02002215", "E02002216", "E02002217", "E02002218", "E02002219", "E02002220", "E02002222", "E02002223", "E02002224", "E02002225", "E02002226", "E02002227", "E02002228", "E02002229", "E02002230", "E02002231", "E02002232", "E02002233", "E02002234", "E02002235", "E02002236", "E02002237", "E02002238", "E02002239", "E02002240", "E02002241", "E02002242", "E02002243", "E02002244", "E02002245", "E02002246", "E02002247", "E02002248", "E02002249", "E02002250", "E02002251", "E02002252", "E02002253", "E02002254", "E02002255", "E02002256", "E02002257", "E02002258", "E02002259", "E02002260", "E02002261", "E02002262", "E02002263", "E02002264", "E02002265", "E02002266", "E02002267", "E02002268", "E02002269", "E02002270", "E02002271", "E02002272", "E02002273", "E02002274", "E02002275", "E02002276", "E02002277", "E02002278", "E02002279", "E02002280", "E02002281", "E02002282", "E02002283", "E02002284", "E02002285", "E02002286", "E02002287", "E02002288", "E02002289", "E02002290", "E02002291", "E02002292", "E02002293", "E02002294", "E02002295", "E02002296", "E02002297", "E02002298", "E02002299", "E02002300", "E02002301", "E02002302", "E02002303", "E02002304", "E02002305", "E02002306", "E02002307", "E02002308", "E02002309", "E02002310", "E02002311", "E02002312", "E02002313", "E02002314", "E02002315", "E02002316", "E02002317", "E02002318", "E02002319", "E02002320", "E02002321", "E02002322", "E02002323", "E02002324", "E02002325", "E02002326", "E02002327", "E02002328", "E02002329", "E02002330", "E02002331", "E02002332", "E02002333", "E02002334", "E02002335", "E02002336", "E02002337", "E02002338", "E02002339", "E02002340", "E02002341", "E02002342", "E02002343", "E02002344", "E02002345", "E02002346", "E02002347", "E02002348", "E02002349", "E02002350", "E02002351", "E02002352", "E02002353", "E02002354", "E02002356", "E02002357", "E02002358", "E02002359", "E02002360", "E02002361", "E02002362", "E02002363", "E02002364", "E02002366", "E02002367", "E02002368", "E02002369", "E02002370", "E02002371", "E02002373", "E02002374", "E02002375", "E02002376", "E02002377", "E02002379", "E02002380", "E02002381", "E02002382", "E02002383", "E02002384", "E02002385", "E02002386", "E02002387", "E02002388", "E02002389", "E02002390", "E02002391", "E02002392", "E02002393", "E02002394", "E02002395", "E02002396", "E02002397", "E02002398", "E02002399", "E02002400", "E02002401", "E02002402", "E02002403", "E02002404", "E02002405", "E02002406", "E02002407", "E02002408", "E02002409", "E02002410", "E02002411", "E02002412", "E02002414", "E02002415", "E02002416", "E02002417", "E02002418", "E02002419", "E02002420", "E02002421", "E02002422", "E02002423", "E02002424", "E02002425", "E02002426", "E02002427", "E02002428", "E02002429", "E02002430", "E02002431", "E02002432", "E02002433", "E02002434", "E02002435", "E02002436", "E02002437", "E02002438", "E02002439", "E02002440", "E02002441", "E02002442", "E02002443", "E02002444", "E02002445", "E02002446", "E02002447", "E02002448", "E02002449", "E02002450", "E02002451", "E02002452", "E02002453", "E02002454", "E02002455", "E02002456", "E02002457", "E02002458", "E02002459", "E02002460", "E02002461", "E02002462", "E02002463", "E02002464", "E02002465", "E02002466", "E02002467", "E02002468", "E02002469", "E02002470", "E02002471", "E02002472", "E02002473", "E02002474", "E02002475", "E02002476", "E02002477", "E02002478", "E02002479", "E02002480", "E02002481", "E02002482", "E02006852", "E02006861", "E02006875", "E02006876", "E02006945", "E02006946", "E02006947", "E02006948", "W02000097", "W02000098", "W02000099", "W02000100", "W02000101", "W02000102", "W02000103", "W02000104", "W02000105", "W02000106", "W02000107", "W02000108", "W02000109", "W02000110", "W02000111", "W02000113", "W02000114", "W02000116", "W02000117", "W02000118", "W02000120", "W02000122", "W02000123", "W02000124", "W02000125", "W02000126", "W02000127", "W02000128", "W02000129", "W02000130", "W02000131", "W02000132", "W02000133", "W02000134", "W02000135", "W02000136", "W02000137", "W02000138", "W02000139", "W02000140", "W02000141", "W02000142", "W02000143", "W02000144", "W02000145", "W02000146", "W02000147", "W02000148", "W02000149", "W02000151", "W02000152", "W02000153", "W02000154", "W02000156", "W02000157", "W02000158", "W02000159", "W02000160", "W02000161", "W02000162", "W02000163", "W02000164", "W02000165", "W02000166", "W02000167", "W02000414", "W02000416", "W02000418", "W02000421"], "url": "https://www.nomisweb.co.uk/api/v01/", "cross_tabulation": false }, "assumptions": null, "mcmc_settings": null }
Three separate outcomes
Estimates and sampling uncertainty
| pfa | object_group | ethnicity_5 | searches | observed | successes | missing_outcome | hit_rate | conf_low | conf_high | outcome |
|---|---|---|---|---|---|---|---|---|---|---|
| E23000010 | Drugs | Asian | 96 | 95 | 23 | 1 | 0.242110 | 0.167089999999999988534 | 0.33717 | any_action |
| E23000010 | Drugs | Black | 40 | 40 | 17 | 0 | 0.425000 | 0.285090000000000010072 | 0.57805 | any_action |
| E23000010 | Drugs | Other | 34 | 34 | 9 | 0 | 0.264710 | 0.146010000000000000897 | 0.43117 | any_action |
| E23000010 | Drugs | Unknown | 1670 | 1663 | 669 | 7 | 0.402290 | 0.378969999999999973550 | 0.42605 | any_action |
| E23000010 | Drugs | White | 1297 | 1295 | 493 | 2 | 0.380690 | 0.354640000000000010782 | 0.40746 | any_action |
| E23000010 | Other | Asian | 9 | 9 | 1 | 0 | 0.111110 | 0.019890999999999998959 | 0.43500 | any_action |
| E23000010 | Other | Black | 4 | 4 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.48989 | any_action |
| E23000010 | Other | Unknown | 145 | 145 | 31 | 0 | 0.213790 | 0.154900000000000009903 | 0.28746 | any_action |
| E23000010 | Other | White | 291 | 290 | 78 | 1 | 0.268970 | 0.221200000000000007727 | 0.32278 | any_action |
| E23000010 | Stolen goods | Asian | 5 | 5 | 2 | 0 | 0.400000 | 0.117620000000000002327 | 0.76928 | any_action |
| E23000010 | Stolen goods | Unknown | 84 | 84 | 20 | 0 | 0.238100 | 0.159750000000000003109 | 0.33935 | any_action |
| E23000010 | Stolen goods | White | 202 | 202 | 72 | 0 | 0.356440 | 0.293630000000000002114 | 0.42460 | any_action |
| E23000010 | Unknown | Asian | 7 | 6 | 1 | 1 | 0.166670 | 0.030052999999999999853 | 0.56350 | any_action |
| E23000010 | Unknown | Black | 5 | 5 | 2 | 0 | 0.400000 | 0.117620000000000002327 | 0.76928 | any_action |
| E23000010 | Unknown | Other | 5 | 5 | 0 | 0 | 0.000000 | 0.000000000000000027756 | 0.43448 | any_action |
| E23000010 | Unknown | Unknown | 141 | 97 | 20 | 44 | 0.206190 | 0.137630000000000002336 | 0.29713 | any_action |
| E23000010 | Unknown | White | 128 | 128 | 34 | 0 | 0.265620 | 0.196759999999999990461 | 0.34815 | any_action |
| E23000010 | Weapons | Asian | 9 | 9 | 1 | 0 | 0.111110 | 0.019890999999999998959 | 0.43500 | any_action |
| E23000010 | Weapons | Black | 6 | 6 | 3 | 0 | 0.500000 | 0.187620000000000008988 | 0.81238 | any_action |
| E23000010 | Weapons | Other | 5 | 5 | 0 | 0 | 0.000000 | 0.000000000000000027756 | 0.43448 | any_action |
| E23000010 | Weapons | Unknown | 156 | 156 | 31 | 0 | 0.198720 | 0.143680000000000002158 | 0.26824 | any_action |
| E23000010 | Weapons | White | 139 | 139 | 54 | 0 | 0.388490 | 0.311499999999999999112 | 0.47147 | any_action |
| NA | Drugs | Asian | 5 | 5 | 4 | 0 | 0.800000 | 0.375529999999999974936 | 0.96378 | any_action |
| NA | Drugs | Black | 2 | 2 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.65762 | any_action |
| NA | Drugs | Other | 2 | 2 | 2 | 0 | 1.000000 | 0.342380000000000017657 | 1.00000 | any_action |
| NA | Drugs | Unknown | 60 | 60 | 17 | 0 | 0.283330 | 0.185070000000000012275 | 0.40767 | any_action |
| NA | Drugs | White | 55 | 55 | 20 | 0 | 0.363640 | 0.249310000000000003828 | 0.49577 | any_action |
| NA | Other | Black | 1 | 1 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.79345 | any_action |
| NA | Other | Unknown | 8 | 8 | 5 | 0 | 0.625000 | 0.305740000000000011759 | 0.86316 | any_action |
| NA | Other | White | 10 | 10 | 2 | 0 | 0.200000 | 0.056682000000000003215 | 0.50984 | any_action |
| NA | Stolen goods | Unknown | 5 | 5 | 0 | 0 | 0.000000 | 0.000000000000000027756 | 0.43448 | any_action |
| NA | Stolen goods | White | 10 | 10 | 5 | 0 | 0.500000 | 0.236589999999999994751 | 0.76341 | any_action |
| NA | Unknown | Unknown | 7 | 4 | 1 | 3 | 0.250000 | 0.045587000000000002520 | 0.69936 | any_action |
| NA | Unknown | White | 6 | 6 | 2 | 0 | 0.333330 | 0.096770999999999995911 | 0.70001 | any_action |
| NA | Weapons | Asian | 1 | 1 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.79345 | any_action |
| NA | Weapons | Unknown | 4 | 4 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.48989 | any_action |
| NA | Weapons | White | 3 | 3 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.56150 | any_action |
| E23000010 | Drugs | Asian | 96 | 95 | 4 | 1 | 0.042105 | 0.016494000000000001716 | 0.10331 | arrest |
| E23000010 | Drugs | Black | 40 | 40 | 7 | 0 | 0.175000 | 0.087454000000000003956 | 0.31950 | arrest |
| E23000010 | Drugs | Other | 34 | 34 | 3 | 0 | 0.088235 | 0.030466000000000000025 | 0.22960 | arrest |
| E23000010 | Drugs | Unknown | 1670 | 1663 | 202 | 7 | 0.121470 | 0.106630000000000002558 | 0.13805 | arrest |
| E23000010 | Drugs | White | 1297 | 1295 | 214 | 2 | 0.165250 | 0.146020000000000010898 | 0.18646 | arrest |
| E23000010 | Other | Asian | 9 | 9 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.29915 | arrest |
| E23000010 | Other | Black | 4 | 4 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.48989 | arrest |
| E23000010 | Other | Unknown | 145 | 145 | 20 | 0 | 0.137930 | 0.091095999999999996422 | 0.20346 | arrest |
| E23000010 | Other | White | 291 | 290 | 57 | 1 | 0.196550 | 0.154909999999999992149 | 0.24613 | arrest |
| E23000010 | Stolen goods | Asian | 5 | 5 | 2 | 0 | 0.400000 | 0.117620000000000002327 | 0.76928 | arrest |
| E23000010 | Stolen goods | Unknown | 84 | 84 | 16 | 0 | 0.190480 | 0.120789999999999994595 | 0.28724 | arrest |
| E23000010 | Stolen goods | White | 202 | 202 | 54 | 0 | 0.267330 | 0.211049999999999987610 | 0.33228 | arrest |
| E23000010 | Unknown | Asian | 7 | 6 | 1 | 1 | 0.166670 | 0.030052999999999999853 | 0.56350 | arrest |
| E23000010 | Unknown | Black | 5 | 5 | 2 | 0 | 0.400000 | 0.117620000000000002327 | 0.76928 | arrest |
| E23000010 | Unknown | Other | 5 | 5 | 0 | 0 | 0.000000 | 0.000000000000000027756 | 0.43448 | arrest |
| E23000010 | Unknown | Unknown | 141 | 97 | 18 | 44 | 0.185570 | 0.120730000000000003979 | 0.27436 | arrest |
| E23000010 | Unknown | White | 128 | 128 | 31 | 0 | 0.242190 | 0.176190000000000013269 | 0.32321 | arrest |
| E23000010 | Weapons | Asian | 9 | 9 | 1 | 0 | 0.111110 | 0.019890999999999998959 | 0.43500 | arrest |
| E23000010 | Weapons | Black | 6 | 6 | 2 | 0 | 0.333330 | 0.096770999999999995911 | 0.70001 | arrest |
| E23000010 | Weapons | Other | 5 | 5 | 0 | 0 | 0.000000 | 0.000000000000000027756 | 0.43448 | arrest |
| E23000010 | Weapons | Unknown | 156 | 156 | 29 | 0 | 0.185900 | 0.132670000000000010143 | 0.25423 | arrest |
| E23000010 | Weapons | White | 139 | 139 | 46 | 0 | 0.330940 | 0.258180000000000020588 | 0.41278 | arrest |
| NA | Drugs | Asian | 5 | 5 | 3 | 0 | 0.600000 | 0.230720000000000008411 | 0.88238 | arrest |
| NA | Drugs | Black | 2 | 2 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.65762 | arrest |
| NA | Drugs | Other | 2 | 2 | 2 | 0 | 1.000000 | 0.342380000000000017657 | 1.00000 | arrest |
| NA | Drugs | Unknown | 60 | 60 | 5 | 0 | 0.083333 | 0.036119999999999999329 | 0.18069 | arrest |
| NA | Drugs | White | 55 | 55 | 9 | 0 | 0.163640 | 0.088553999999999993831 | 0.28264 | arrest |
| NA | Other | Black | 1 | 1 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.79345 | arrest |
| NA | Other | Unknown | 8 | 8 | 3 | 0 | 0.375000 | 0.136839999999999989422 | 0.69426 | arrest |
| NA | Other | White | 10 | 10 | 2 | 0 | 0.200000 | 0.056682000000000003215 | 0.50984 | arrest |
| NA | Stolen goods | Unknown | 5 | 5 | 0 | 0 | 0.000000 | 0.000000000000000027756 | 0.43448 | arrest |
| NA | Stolen goods | White | 10 | 10 | 4 | 0 | 0.400000 | 0.168179999999999996163 | 0.68733 | arrest |
| NA | Unknown | Unknown | 7 | 4 | 1 | 3 | 0.250000 | 0.045587000000000002520 | 0.69936 | arrest |
| NA | Unknown | White | 6 | 6 | 1 | 0 | 0.166670 | 0.030052999999999999853 | 0.56350 | arrest |
| NA | Weapons | Asian | 1 | 1 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.79345 | arrest |
| NA | Weapons | Unknown | 4 | 4 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.48989 | arrest |
| NA | Weapons | White | 3 | 3 | 0 | 0 | 0.000000 | 0.000000000000000000000 | 0.56150 | arrest |
| E23000010 | Drugs | Asian | 96 | 96 | 94 | 0 | 0.979170 | 0.927189999999999958646 | 0.99427 | outcome_linked_to_object |
| E23000010 | Drugs | Black | 40 | 40 | 34 | 0 | 0.850000 | 0.709280000000000021565 | 0.92939 | outcome_linked_to_object |
| E23000010 | Drugs | Other | 34 | 34 | 30 | 0 | 0.882350 | 0.733790000000000053326 | 0.95329 | outcome_linked_to_object |
| E23000010 | Drugs | Unknown | 1670 | 1670 | 1578 | 0 | 0.944910 | 0.932910000000000017017 | 0.95487 | outcome_linked_to_object |
| E23000010 | Drugs | White | 1297 | 1297 | 1202 | 0 | 0.926750 | 0.911279999999999978932 | 0.93971 | outcome_linked_to_object |
| E23000010 | Other | Asian | 9 | 9 | 8 | 0 | 0.888890 | 0.564999999999999946709 | 0.98011 | outcome_linked_to_object |
| E23000010 | Other | Black | 4 | 4 | 4 | 0 | 1.000000 | 0.510109999999999952358 | 1.00000 | outcome_linked_to_object |
| E23000010 | Other | Unknown | 145 | 145 | 130 | 0 | 0.896550 | 0.836330000000000017835 | 0.93630 | outcome_linked_to_object |
| E23000010 | Other | White | 291 | 291 | 262 | 0 | 0.900340 | 0.860539999999999971614 | 0.92971 | outcome_linked_to_object |
| E23000010 | Stolen goods | Asian | 5 | 5 | 5 | 0 | 1.000000 | 0.565520000000000022666 | 1.00000 | outcome_linked_to_object |
| E23000010 | Stolen goods | Unknown | 84 | 84 | 81 | 0 | 0.964290 | 0.900179999999999980176 | 0.98778 | outcome_linked_to_object |
| E23000010 | Stolen goods | White | 202 | 202 | 189 | 0 | 0.935640 | 0.893020000000000035989 | 0.96201 | outcome_linked_to_object |
| E23000010 | Unknown | Asian | 7 | 7 | 6 | 0 | 0.857140 | 0.486870000000000024976 | 0.97432 | outcome_linked_to_object |
| E23000010 | Unknown | Black | 5 | 5 | 4 | 0 | 0.800000 | 0.375529999999999974936 | 0.96378 | outcome_linked_to_object |
| E23000010 | Unknown | Other | 5 | 5 | 5 | 0 | 1.000000 | 0.565520000000000022666 | 1.00000 | outcome_linked_to_object |
| E23000010 | Unknown | Unknown | 141 | 98 | 93 | 43 | 0.948980 | 0.886079999999999978755 | 0.97801 | outcome_linked_to_object |
| E23000010 | Unknown | White | 128 | 128 | 114 | 0 | 0.890620 | 0.824770000000000003126 | 0.93372 | outcome_linked_to_object |
| E23000010 | Weapons | Asian | 9 | 9 | 9 | 0 | 1.000000 | 0.700849999999999972999 | 1.00000 | outcome_linked_to_object |
| E23000010 | Weapons | Black | 6 | 6 | 5 | 0 | 0.833330 | 0.436499999999999999112 | 0.96995 | outcome_linked_to_object |
| E23000010 | Weapons | Other | 5 | 5 | 5 | 0 | 1.000000 | 0.565520000000000022666 | 1.00000 | outcome_linked_to_object |
| E23000010 | Weapons | Unknown | 156 | 156 | 145 | 0 | 0.929490 | 0.878160000000000051656 | 0.96017 | outcome_linked_to_object |
| E23000010 | Weapons | White | 139 | 139 | 117 | 0 | 0.841730 | 0.771979999999999999538 | 0.89309 | outcome_linked_to_object |
| NA | Drugs | Asian | 5 | 5 | 4 | 0 | 0.800000 | 0.375529999999999974936 | 0.96378 | outcome_linked_to_object |
| NA | Drugs | Black | 2 | 2 | 2 | 0 | 1.000000 | 0.342380000000000017657 | 1.00000 | outcome_linked_to_object |
| NA | Drugs | Other | 2 | 2 | 2 | 0 | 1.000000 | 0.342380000000000017657 | 1.00000 | outcome_linked_to_object |
| NA | Drugs | Unknown | 60 | 60 | 56 | 0 | 0.933330 | 0.840749999999999997335 | 0.97377 | outcome_linked_to_object |
| NA | Drugs | White | 55 | 55 | 53 | 0 | 0.963640 | 0.876770000000000049312 | 0.98997 | outcome_linked_to_object |
| NA | Other | Black | 1 | 1 | 1 | 0 | 1.000000 | 0.206550000000000011369 | 1.00000 | outcome_linked_to_object |
| NA | Other | Unknown | 8 | 8 | 7 | 0 | 0.875000 | 0.529109999999999969233 | 0.97758 | outcome_linked_to_object |
| NA | Other | White | 10 | 10 | 10 | 0 | 1.000000 | 0.722469999999999945572 | 1.00000 | outcome_linked_to_object |
| NA | Stolen goods | Unknown | 5 | 5 | 5 | 0 | 1.000000 | 0.565520000000000022666 | 1.00000 | outcome_linked_to_object |
| NA | Stolen goods | White | 10 | 10 | 8 | 0 | 0.800000 | 0.490159999999999984599 | 0.94332 | outcome_linked_to_object |
| NA | Unknown | Unknown | 7 | 4 | 4 | 3 | 1.000000 | 0.510109999999999952358 | 1.00000 | outcome_linked_to_object |
| NA | Unknown | White | 6 | 6 | 5 | 0 | 0.833330 | 0.436499999999999999112 | 0.96995 | outcome_linked_to_object |
| NA | Weapons | Asian | 1 | 1 | 1 | 0 | 1.000000 | 0.206550000000000011369 | 1.00000 | outcome_linked_to_object |
| NA | Weapons | Unknown | 4 | 4 | 4 | 0 | 1.000000 | 0.510109999999999952358 | 1.00000 | outcome_linked_to_object |
| NA | Weapons | White | 3 | 3 | 3 | 0 | 1.000000 | 0.438500000000000000888 | 1.00000 | outcome_linked_to_object |
coefficients
| term | odds_ratio | conf_low | conf_high | log_std_error | n | status | model_warnings | outcome | omitted_constant_controls |
|---|---|---|---|---|---|---|---|---|---|
| .comparison | 1.08160 | 0.62958 | 1.8581 | 0.27609 | 2196 | estimable | any_action | force_id | |
| .comparison | 0.99113 | 0.50592 | 1.9417 | 0.34310 | 2196 | estimable | arrest | force_id | |
| .comparison | 0.58535 | 0.27138 | 1.2626 | 0.39219 | 2199 | estimable | outcome_linked_to_object | force_id |
exclusions
| outcome | included | unknown_ethnicity | other_ethnicity | pair_missing_outcome_or_control |
|---|---|---|---|---|
| any_action | 2196 | 2280 | 178 | 3 |
| arrest | 2196 | 2280 | 178 | 3 |
| outcome_linked_to_object | 2199 | 2280 | 178 | 0 |
Analysis scope and assumptions
{ "analysis": null, "scope": { "n_rows": 4657, "force_months": [ { "force_id": "west-yorkshire", "month": "2026-05" }, { "force_id": "west-yorkshire", "month": "2026-06" }, { "force_id": "west-yorkshire", "month": "2026-07" } ] }, "population": { "source": "NOMIS", "table_id": "NM_2041_1", "vintage": "2021-03-21", "classification": "5", "geography": "msoa21", "retrieved": "2026-09-16 11:00:20", "codes": ["E02002183", "E02002184", "E02002185", "E02002187", "E02002188", "E02002189", "E02002190", "E02002191", "E02002192", "E02002193", "E02002194", "E02002195", "E02002196", "E02002197", "E02002198", "E02002199", "E02002200", "E02002201", "E02002202", "E02002203", "E02002204", "E02002205", "E02002206", "E02002207", "E02002208", "E02002209", "E02002210", "E02002211", "E02002212", "E02002213", "E02002214", "E02002215", "E02002216", "E02002217", "E02002218", "E02002219", "E02002220", "E02002222", "E02002223", "E02002224", "E02002225", "E02002226", "E02002227", "E02002228", "E02002229", 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"E02002307", "E02002308", "E02002309", "E02002310", "E02002311", "E02002312", "E02002313", "E02002314", "E02002315", "E02002316", "E02002317", "E02002318", "E02002319", "E02002320", "E02002321", "E02002322", "E02002323", "E02002324", "E02002325", "E02002326", "E02002327", "E02002328", "E02002329", "E02002330", "E02002331", "E02002332", "E02002333", "E02002334", "E02002335", "E02002336", "E02002337", "E02002338", "E02002339", "E02002340", "E02002341", "E02002342", "E02002343", "E02002344", "E02002345", "E02002346", "E02002347", "E02002348", "E02002349", "E02002350", "E02002351", "E02002352", "E02002353", "E02002354", "E02002356", "E02002357", "E02002358", "E02002359", "E02002360", "E02002361", "E02002362", "E02002363", "E02002364", "E02002366", "E02002367", "E02002368", "E02002369", "E02002370", "E02002371", "E02002373", "E02002374", "E02002375", "E02002376", "E02002377", "E02002379", "E02002380", "E02002381", "E02002382", "E02002383", "E02002384", "E02002385", "E02002386", "E02002387", "E02002388", "E02002389", "E02002390", "E02002391", "E02002392", "E02002393", "E02002394", "E02002395", "E02002396", "E02002397", "E02002398", "E02002399", "E02002400", "E02002401", "E02002402", "E02002403", "E02002404", "E02002405", "E02002406", "E02002407", "E02002408", "E02002409", "E02002410", "E02002411", "E02002412", "E02002414", "E02002415", "E02002416", "E02002417", "E02002418", "E02002419", "E02002420", "E02002421", "E02002422", "E02002423", "E02002424", "E02002425", "E02002426", "E02002427", "E02002428", "E02002429", "E02002430", "E02002431", "E02002432", "E02002433", "E02002434", "E02002435", "E02002436", "E02002437", "E02002438", "E02002439", "E02002440", "E02002441", "E02002442", "E02002443", "E02002444", "E02002445", "E02002446", "E02002447", "E02002448", "E02002449", "E02002450", "E02002451", "E02002452", "E02002453", "E02002454", "E02002455", "E02002456", "E02002457", "E02002458", "E02002459", "E02002460", "E02002461", "E02002462", "E02002463", "E02002464", "E02002465", "E02002466", "E02002467", "E02002468", "E02002469", "E02002470", "E02002471", "E02002472", "E02002473", "E02002474", "E02002475", "E02002476", "E02002477", "E02002478", "E02002479", "E02002480", "E02002481", "E02002482", "E02006852", "E02006861", "E02006875", "E02006876", "E02006945", "E02006946", "E02006947", "E02006948", "W02000097", "W02000098", "W02000099", "W02000100", "W02000101", "W02000102", "W02000103", "W02000104", "W02000105", "W02000106", "W02000107", "W02000108", "W02000109", "W02000110", "W02000111", "W02000113", "W02000114", "W02000116", "W02000117", "W02000118", "W02000120", "W02000122", "W02000123", "W02000124", "W02000125", "W02000126", "W02000127", "W02000128", "W02000129", "W02000130", "W02000131", "W02000132", "W02000133", "W02000134", "W02000135", "W02000136", "W02000137", "W02000138", "W02000139", "W02000140", "W02000141", "W02000142", "W02000143", "W02000144", "W02000145", "W02000146", "W02000147", "W02000148", "W02000149", "W02000151", "W02000152", "W02000153", "W02000154", "W02000156", "W02000157", "W02000158", "W02000159", "W02000160", "W02000161", "W02000162", "W02000163", "W02000164", "W02000165", "W02000166", "W02000167", "W02000414", "W02000416", "W02000418", "W02000421"], "url": "https://www.nomisweb.co.uk/api/v01/", "cross_tabulation": false }, "assumptions": null, "mcmc_settings": null }
Assumptions
Resident Census population is an exposure choice. It may differ from the people present or exposed to police activity. Missing-ethnicity allocations are stated scenarios. Their ranges are not confidence intervals and are not combined with sampling uncertainty. Spatial smoothing stabilises under its model assumptions; inspect unsmoothed data, local changes and convergence diagnostics.
- Resident Census 2021 exposure is held fixed over the submitted months.
Limitations
Repeated events, deployment, activity, selection and measurement can affect comparisons. Hit rates condition on being searched and do not by themselves establish discrimination. Darkness associations require assumptions about visibility and comparable activity and deployment. The method originated for vehicle stops; its transfer to pedestrian searches requires justification. Neither an undefined result nor a wide interval establishes absence of disparity.
- Rates, bounds and count regression cover four example MSOAs selected for many events.
- Outcome summaries use all 4,657 supplied events; these analyses have different scopes.
- All three requested Dyfed-Powys submissions are missing.
Sources and reproducibility
data.police.uk archive, ONS geography and NOMIS Census data supply the public inputs.
Public archive and ONS/NOMIS data retain their Open Government Licence v3.0 attribution. The following metadata identify snapshots, source hashes, geography vintages, population sources and classification. No external assets or scripts are loaded when this report is viewed.
{
"source": "data.police.uk archive",
"snapshots": [
{
"archive_file": "2026-07.zip",
"sha256": "312e3b1533ac953df07636781588578335113ef918584de4fcdfcb014a69ca16",
"downloaded_at": "2026-09-16 10:24:44",
"url": "https://data.police.uk/data/archive/2026-07.zip"
}
],
"geography": {
"lsoa21": {
"type": "lsoa21",
"layer_id": "68515293204e43ca8ab56fa13ae8a547",
"service_layer": 0,
"vintage": "2021-12",
"crs": "WGS 84",
"retrieved": "2026-09-16 10:59:02",
"url": "https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Lower_layer_Super_Output_Areas_December_2021_Boundaries_EW_BGC_V5/FeatureServer/0",
"generalisation_m": 20,
"assignment_crs": "EPSG:27700",
"threshold_m": 50
},
"msoa21": {
"type": "msoa21",
"layer_id": "6b282db29762450881ed5159259a6e4e",
"service_layer": 0,
"vintage": "2021-12",
"crs": "WGS 84",
"retrieved": "2026-09-16 11:00:01",
"url": "https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Middle_layer_Super_Output_Areas_December_2021_Boundaries_EW_BGC_V3/FeatureServer/0",
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"assignment_crs": "EPSG:27700",
"threshold_m": 50
},
"pfa": {
"type": "pfa",
"vintage": "2025-04",
"method": "LSOA21-LAD22 then unchanged sample LAD codes to PFA25",
"layer_id": "8f77bda25c124e43aca5f3b90494e405",
"retrieved": "2026-09-16 10:56:07"
},
"lad": {
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"vintage": "2022-12",
"method": "ONS Census hierarchy lookup",
"retrieved": "2026-09-16 10:56:07",
"layer_id": "b9ca90c10aaa4b8d9791e9859a38ca67"
}
},
"population": {
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"classification": "5",
"geography": "msoa21",
"retrieved": "2026-09-16 11:00:20",
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"url": "https://www.nomisweb.co.uk/api/v01/",
"cross_tabulation": false
},
"classification": {
"scheme": "self-defined",
"mapping_version": "PACE-2023/archive-labels-2026-09-16"
},
"created": {
"timestamp": "2026-09-16 10:34:57",
"package_version": "0.1.0",
"r_version": "R version 4.5.2 (2025-10-31 ucrt)"
}
}