From 3ff7e14af7ba7de69a4792ec45aa56dda4ee4e43 Mon Sep 17 00:00:00 2001 From: r Date: Tue, 25 Aug 2026 11:01:30 +0100 Subject: [PATCH 1/3] DWP workplace pension participation: the first pensions claims (#98) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit PolicyEngine-UK models pensions — contributions, their relief, the age limit, the salary-sacrifice interaction — and not one of the 15,858 UK external claims said anything about pensions at all. 1,377 participation rates by earnings band, age band and region, split public/private/ overall, 2009-2025, from the current DWP edition. Two facts ride on every claim because leaving them in a methodology note would make the rows uninterpretable: denominator ELIGIBILITY IS PART OF THE IDENTITY. The rate is a share of employees eligible for automatic enrolment — an earnings trigger and an age range that have BOTH moved over the series. A participation rate whose denominator is unstated says nothing. survey_axis DWP derives these from ONS ASHE, an employer survey of jobs, where the certified world is FRS-based. A PE-vs-DWP gap is a survey-population difference before it is an engine question — the same axis the LPC lane (#88) carries, and the two lanes now share it. Geography is GB, not UK: ASHE excludes Northern Ireland, kept apart in the registry for the same reason #91 keeps IFS's coverage-restricted analyses apart. Rates are validated as shares, and a percent slipping in is refused — it would be a hundredfold error nobody could see downstream. What is deliberately not read is tallied, not implied. Every sheet holds SIX tables side by side and only the first carries a descriptor (row 6); the other five are unlabelled. A number whose meaning is inferred from its column position is not a claim, so 15 blocks are recorded as unread with the reason, alongside 21 other data sheets that are each their own population decision. A re-shuffled workbook fails the block-1 anchor rather than reading the wrong table. Identity: DWP's auto-enrolment earnings bands are defined by the enrolment trigger, not by an income distribution, so they are recorded DISTINCT from UKMOD's quantiles; and DWP's age bands are DISTINCT from LPC's minimum-wage age bands, which are a wage-rate category rather than an enrolment range. The relationship evidence also records the limit of what this lane can ask: the engine has no pension commencement lump sum at all (verified at the pin, #98), so the pensions question the scorecard can put is narrower than the pensions system. Suite 280 passed, two builds agree on content_hash, no-drift clean, ruff format clean. Co-Authored-By: Claude Opus 5 (1M context) Claude-Session: https://claude.ai/code/session_016HuXJFVme8HRbnke2Ey3Me --- app/public/data/lanes.json | 11 + data/externals/dwp-pension-participation.json | 24788 ++++++++++++++++ data/lanes.json | 11 + scorecard_db/build_db.py | 5 + scorecard_db/ingest_dwp_pensions.py | 198 + scorecard_db/relationships.py | 16 + scorecard_db/uk_aliases.py | 51 + sources/dwp-pension-participation/adapter.py | 286 + .../dwp-pension-participation/raw/README.md | 51 + ...place_pension_participation_2009_2025.xlsx | Bin 0 -> 332771 bytes sources/dwp-pension-participation/source.json | 25 + tests/test_dwp_pensions.py | 216 + 12 files changed, 25658 insertions(+) create mode 100644 data/externals/dwp-pension-participation.json create mode 100644 scorecard_db/ingest_dwp_pensions.py create mode 100644 sources/dwp-pension-participation/adapter.py create mode 100644 sources/dwp-pension-participation/raw/README.md create mode 100644 sources/dwp-pension-participation/raw/dwp_workplace_pension_participation_2009_2025.xlsx create mode 100644 sources/dwp-pension-participation/source.json create mode 100644 tests/test_dwp_pensions.py diff --git a/app/public/data/lanes.json b/app/public/data/lanes.json index d2b4a03..62c4a3f 100644 --- a/app/public/data/lanes.json +++ b/app/public/data/lanes.json @@ -357,6 +357,17 @@ "running": false, "updated": "2026-08-21", "note": "5 model claims, 7 Ledger facts (6 statistical + 1 non-simulated uprated EU-SILC survey input), 6 derived ratios dispositioned; 2 concept-mismatch attachments" + }, + { + "id": "dwp-pension-participation", + "source": "DWP", + "area": "workplace pension participation", + "mode": 1, + "country": "UK", + "stage": "ingested", + "running": false, + "updated": "2026-08-25", + "note": "1377 claims \u2014 the first external validation of any pensions quantity in the UK scorecard (participation among auto-enrolment ELIGIBLE employees, GB, ASHE-derived)" } ] } diff --git a/data/externals/dwp-pension-participation.json b/data/externals/dwp-pension-participation.json new file mode 100644 index 0000000..57cc016 --- /dev/null +++ b/data/externals/dwp-pension-participation.json @@ -0,0 +1,24788 @@ +[ + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2009, + "value": 0.78, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2009" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2010, + "value": 0.75, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2010" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2011, + "value": 0.76, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2011" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2012, + "value": 0.75, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2012" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2013, + "value": 0.79, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2013" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2014, + "value": 0.84, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2014" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2015, + "value": 0.84, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2015" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2016, + "value": 0.84, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2016" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2017, + "value": 0.87, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2017" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2018, + "value": 0.89, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2018" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2019, + "value": 0.87, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2019" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2020, + "value": 0.91, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2020" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2021, + "value": 0.88, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2021" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2022, + "value": 0.87, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2022" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2023, + "value": 0.87, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2023" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2024, + "value": 0.86, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2024" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_10k_20k", + "period": 2025, + "value": 0.88, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a310,000 - under \u00a320,000:public:2025" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_20k_30k", + "period": 2009, + "value": 0.84, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a320,000 - under \u00a330,000:public:2009" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_20k_30k", + "period": 2010, + "value": 0.8200000000000001, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.3a:block1:\u00a320,000 - under \u00a330,000:public:2010" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "public", + "axis": "earnings_band", + "subgroup": "gbp_20k_30k", + "period": 2011, + "value": 0.8200000000000001, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. 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PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2014" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2015, + "value": 0.8, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2015" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2016, + "value": 0.8, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2016" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2017, + "value": 0.86, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2017" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2018, + "value": 0.89, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2018" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2019, + "value": 0.9, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2019" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2020, + "value": 0.91, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2020" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2021, + "value": 0.91, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2021" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2022, + "value": 0.91, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2022" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2023, + "value": 0.91, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2023" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2024, + "value": 0.93, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2024" + }, + { + "source": "dwp-pension-participation", + "country": "UK", + "geography": "GB", + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": "all", + "axis": "region", + "subgroup": "Scotland", + "period": 2025, + "value": 0.93, + "denominator": "Employees ELIGIBLE for automatic enrolment \u2014 an earnings-trigger and age-range definition that has moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every row rather than left in a methodology note.", + "survey_axis": "DWP estimates derived from ONS ASHE, an employer survey of JOBS in Great Britain. PolicyEngine-UK's certified world is FRS-based, a household survey, so a PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries.", + "status": "ok", + "edition": "Workplace pension participation and savings trends: 2009 to 2025", + "source_column": "1.9a:block1:Scotland:all:2025" + } +] diff --git a/data/lanes.json b/data/lanes.json index d2b4a03..62c4a3f 100644 --- a/data/lanes.json +++ b/data/lanes.json @@ -357,6 +357,17 @@ "running": false, "updated": "2026-08-21", "note": "5 model claims, 7 Ledger facts (6 statistical + 1 non-simulated uprated EU-SILC survey input), 6 derived ratios dispositioned; 2 concept-mismatch attachments" + }, + { + "id": "dwp-pension-participation", + "source": "DWP", + "area": "workplace pension participation", + "mode": 1, + "country": "UK", + "stage": "ingested", + "running": false, + "updated": "2026-08-25", + "note": "1377 claims \u2014 the first external validation of any pensions quantity in the UK scorecard (participation among auto-enrolment ELIGIBLE employees, GB, ASHE-derived)" } ] } diff --git a/scorecard_db/build_db.py b/scorecard_db/build_db.py index f37be52..33c3661 100644 --- a/scorecard_db/build_db.py +++ b/scorecard_db/build_db.py @@ -19,6 +19,7 @@ campaign_us staged day-1/day-2 campaign results (claim matching) uk_externals five UK primary-source families + Ledger staging uk_deductions FRR family + dwp_pensions workplace pension participation (ASHE, GB) produce_uk + campaign_uk archive-resolved UK reckoner attaches be_jrc JRC EUROMOD-BE model claims + honest demo attachments; final so its 2026-08-21 lane update cannot be regressed by @@ -47,6 +48,7 @@ ingest_solo, ingest_uk_deductions, ingest_uk_externals, + ingest_dwp_pensions, ingest_urban, produce_campaign_uk, ) @@ -94,6 +96,9 @@ def build(db_path: Path) -> dict: ("campaign_us", lambda: ingest_campaign.ingest(db_path)), ("uk_externals", lambda: ingest_uk_externals.ingest(db_path)), ("uk_deductions", lambda: ingest_uk_deductions.ingest(db_path)), + # DWP workplace pension participation (#98): the first external + # validation of any pensions quantity in the UK scorecard. + ("dwp_pensions", lambda: ingest_dwp_pensions.ingest(db_path)), ("produce_uk", lambda: produce_campaign_uk.produce(db_path)), ( "campaign_uk", diff --git a/scorecard_db/ingest_dwp_pensions.py b/scorecard_db/ingest_dwp_pensions.py new file mode 100644 index 0000000..16865a0 --- /dev/null +++ b/scorecard_db/ingest_dwp_pensions.py @@ -0,0 +1,198 @@ +"""Ingest DWP workplace pension participation (#98). + +PolicyEngine-UK models pensions — contributions, their relief, the age +limit, the salary-sacrifice interaction — and until now not one of the +15,858 UK external claims said anything about pensions. This is the +external side: 1,377 participation rates by earnings band, age band and +region, split public/private/overall, 2009-2025. + +Two things ride on every claim because leaving them in a methodology +note would make the rows uninterpretable: + + denominator The rate is a share of employees ELIGIBLE for automatic + enrolment — an earnings-trigger and age-range definition + that has moved over the series. A participation rate + whose denominator is unstated says nothing. + survey_axis DWP derives these from ONS ASHE, an employer survey of + jobs; the certified PE-UK world is FRS-based. A + PE-vs-DWP gap is a survey-population difference before + it is an engine question — the same axis the LPC lane + (#88) carries. + +Geography is GB, not UK: ASHE excludes Northern Ireland, and the +registry keeps the two apart for the same reason #91 keeps IFS's +coverage-restricted analyses apart. + + PYTHONPATH=. python -m scorecard_db.ingest_dwp_pensions data/scorecard.db +""" + +from __future__ import annotations + +import json +from pathlib import Path + +from .db import LANE_SQL, SCORES_SQL, ScorecardDB +from .harvest import REPO, finish, require_fields +from .models import ExternalScore, Metric, TimeBasis, UnitConcept +from .relationships import uk_relationship +from .uk_aliases import canon + +EXTERNALS = REPO / "data" / "externals" + +ADAPTER_SOURCE = "dwp-pension-participation" +SOURCE = "dwp_pensions" +LANE_ID = "dwp-pension-participation" +LANE_UPDATED = "2026-08-25" +FEED_UPDATED = "2026-08-19" +LANE_FEED_META = { + "source": "DWP", + "area": "workplace pension participation", + "mode": 1, + "country": "UK", +} + +PUBLICATION = { + "title": "DWP Workplace pension participation and savings trends: 2009 to 2025", + "url": ( + "https://www.gov.uk/government/statistics/" + "workplace-pension-participation-and-savings-trends-2009-to-2025" + ), + "date": "2026-07-30", + "country": "UK", +} + +_KNOWN_FIELDS = frozenset( + { + "axis", + "country", + "denominator", + "edition", + "geography", + "metric", + "period", + "program", + "sector", + "source", + "source_column", + "status", + "subgroup", + "survey_axis", + "unit_concept", + "value", + } +) + +_METRICS = { + "participation_rate": (Metric.PARTICIPATION_RATE, UnitConcept.SHARE, "share") +} +# the adapter's axis name -> the uk_aliases axis its values are closed on +_AXES = {"earnings_band": "earnings_band", "age_band": "age_band", "region": "region"} + + +def _load() -> list[dict]: + path = EXTERNALS / f"{ADAPTER_SOURCE}.json" + if not path.exists(): + raise FileNotFoundError( + f"{path} missing — run sources/dwp-pension-participation/adapter.py first" + ) + rows = json.loads(path.read_text()) + for row in rows: + require_fields(row, _KNOWN_FIELDS, SOURCE) + if row["source"] != ADAPTER_SOURCE: + raise ValueError(f"{SOURCE}: row source {row['source']!r} is wrong") + if row["country"] != "UK": + raise ValueError(f"{SOURCE}: row country {row['country']!r} is not 'UK'") + return rows + + +def stage() -> tuple[list[ExternalScore], dict]: + scores: list[ExternalScore] = [] + counts: dict[str, int] = {} + for row in _load(): + metric, unit, value_kind = _METRICS[row["metric"]] + canon(SOURCE, "unit", row["unit_concept"]) + axis = row["axis"] + if axis not in _AXES: + raise ValueError(f"{SOURCE}: unregistered axis {axis!r}") + value = float(row["value"]) + if not 0.0 <= value <= 1.0: + raise ValueError( + f"{SOURCE}: participation rate {value} is not a share — the " + "publication gives fractions, and a percent slipping in here " + "would be a hundredfold error nobody could see downstream" + ) + cond = { + "country": "UK", + # GB, not UK: ASHE excludes Northern Ireland + "geography": canon(SOURCE, "geography", row["geography"]), + "program": canon(SOURCE, "program", row["program"]), + "sector": canon(SOURCE, "sector", row["sector"]), + # which axis this row cuts on, so an earnings band and an age + # band never collide on one subgroup key + "axis": axis, + "subgroup": canon(SOURCE, _AXES[axis], row["subgroup"]), + # the two facts that make the row interpretable at all + "denominator": row["denominator"], + "survey_axis": row["survey_axis"], + "edition": row["edition"], + } + scores.append( + ExternalScore( + source=SOURCE, + metric=metric, + unit_concept=unit, + period=int(row["period"]), + # ASHE April reference year, carried as a calendar year + time_basis=TimeBasis.ANNUAL, + value=value, + conditions=cond, + calibration_relationship=uk_relationship(SOURCE, metric)[0], + source_model="dwp_ashe", + source_column=row["source_column"], + publication=PUBLICATION, + value_kind=value_kind, + status=row["status"], + ) + ) + counts[axis] = counts.get(axis, 0) + 1 + return finish(scores, SOURCE), counts + + +_EXPECTED = {"earnings_band": 357, "age_band": 459, "region": 561} + + +def ingest(db_path: Path) -> dict: + scores, counts = stage() + if counts != _EXPECTED: + raise ValueError(f"claim accounting drifted: {counts} != {_EXPECTED}") + db = ScorecardDB(db_path) + rows = [ScorecardDB.score_row(s) for s in scores] + + from .baselines import register_baselines_txn + from .ingest_harvest import sync_lane_feed + + with db.conn: + db.conn.execute("DELETE FROM external_scores WHERE source = ?", (SOURCE,)) + db.conn.executemany(SCORES_SQL, rows) + register_baselines_txn(db) + detail = ( + f"{len(rows)} claims — the first external validation of any " + "pensions quantity in the UK scorecard (participation among " + "auto-enrolment ELIGIBLE employees, GB, ASHE-derived)" + ) + db.conn.execute(LANE_SQL, (LANE_ID, "ingested", detail, LANE_UPDATED)) + sync_lane_feed( + db, + REPO / "data" / "lanes.json", + FEED_UPDATED, + lanes={LANE_ID: LANE_FEED_META}, + ) + db.close() + return {"claims": len(rows), "by_axis": dict(sorted(counts.items()))} + + +if __name__ == "__main__": + import sys + + out = Path(sys.argv[1] if len(sys.argv) > 1 else "data/scorecard.db") + print(json.dumps(ingest(out), indent=1)) diff --git a/scorecard_db/relationships.py b/scorecard_db/relationships.py index 31c3d7f..d0f979b 100644 --- a/scorecard_db/relationships.py +++ b/scorecard_db/relationships.py @@ -222,6 +222,20 @@ def effective_relationship(program, metric): "nothing in pe-uk-data consumes them.", ) +# DWP workplace pension participation (#98). ASHE-derived, like the LPC +# lane, so the survey difference is the first divergence axis. +_DWP_PENSIONS_HELD = ( + CR.HELD_OUT, + "DWP's workplace pension participation estimates are derived from ONS " + "ASHE, an employer survey of jobs, where the certified " + "policyengine-uk world is FRS-based; no pe-uk-data target and no " + "policyengine-uk parameter is fitted to a participation rate " + "(consumption surfaces read 2026-08-25 at the certified pins). Note " + "the engine models pension contributions and their relief but has no " + "pension commencement lump sum at all, so the pensions question this " + "scorecard can ask is narrower than the pensions system.", +) + _UKMOD_HELD = ( CR.HELD_OUT, "UKMOD is a peer microsimulation, not a calibration source; no PE UK " @@ -276,6 +290,8 @@ def uk_relationship(source, metric, program=None, kind=None): if program in OBR_CONSUMED_WELFARE_PROGRAMS: return _OBR_CONSUMED return _OBR_UNCONSUMED + if source == "dwp_pensions": + return _DWP_PENSIONS_HELD if source == "ukmod": return _UKMOD_HELD if source == "hm_treasury": diff --git a/scorecard_db/uk_aliases.py b/scorecard_db/uk_aliases.py index 33d5a49..2e7b00c 100644 --- a/scorecard_db/uk_aliases.py +++ b/scorecard_db/uk_aliases.py @@ -55,6 +55,15 @@ def _alias(source: str, axis: str, source_value: str, canonical: str) -> None: ("dwp_takeup:housing_benefit_pensioners", "obr:housing_benefit_on_jsa"), ("dwp_takeup:housing_benefit_pensioners", "ukmod:housing_benefit"), ("dwp_takeup:benefit_units", "ukmod:families"), + # DWP's auto-enrolment ELIGIBILITY earnings bands are defined by + # the enrolment trigger, not by an income distribution, so they + # are not UKMOD's quantiles nor anyone's deciles. + ("dwp_pensions:gbp_10k_20k", "ukmod:q1"), + ("dwp_pensions:gbp_70k_plus", "ukmod:q5"), + # ...and DWP's age bands are not LPC's minimum-wage age bands: + # one is an auto-enrolment range, the other a wage-rate category. + ("dwp_pensions:age_22_25", "lpc:age_18_20"), + ("dwp_pensions:age_22_25", "lpc:age_25_plus"), } ) @@ -299,6 +308,48 @@ def _alias(source: str, axis: str, source_value: str, canonical: str) -> None: _identity(_src, "unit", ["gbp", "households"]) +# --- DWP workplace pension participation (#98) ------------------------------- +# Geography is GB, not UK: ASHE excludes Northern Ireland, and the two +# are kept apart for the same reason #91 keeps IFS's coverage-restricted +# analyses apart from the UK. The earnings and age bands are the +# publication's own and are closed per source — DWP's auto-enrolment +# eligibility bands are not UKMOD's income groups and not LPC's age +# bands, even where the numbers coincide. +_identity("dwp_pensions", "geography", ["GB"]) +_identity("dwp_pensions", "program", ["workplace_pension"]) +_identity("dwp_pensions", "sector", ["public", "private", "all"]) +_identity( + "dwp_pensions", + "earnings_band", + [ + "gbp_10k_20k", + "gbp_20k_30k", + "gbp_30k_40k", + "gbp_40k_50k", + "gbp_50k_60k", + "gbp_60k_70k", + "gbp_70k_plus", + ], +) +_identity( + "dwp_pensions", + "age_band", + [ + "age_22_25", + "age_26_30", + "age_31_35", + "age_36_40", + "age_41_45", + "age_46_50", + "age_51_55", + "age_56_60", + "age_61_65", + ], +) +_identity("dwp_pensions", "region", _UK_REGIONS) +_identity("dwp_pensions", "unit", ["share"]) + + def canon(source: str, axis: str, value: str) -> str: """Canonical value for (source, axis, source_value); unknown raises.""" try: diff --git a/sources/dwp-pension-participation/adapter.py b/sources/dwp-pension-participation/adapter.py new file mode 100644 index 0000000..ee5f69a --- /dev/null +++ b/sources/dwp-pension-participation/adapter.py @@ -0,0 +1,286 @@ +"""Adapter: DWP workplace pension participation (#98). + +Input: raw/dwp_workplace_pension_participation_2009_2025.xlsx — the DWP + "Workplace pension participation and savings trends: 2009 to + 2025" data tables (published 2026-07-30; see raw/README.md). +Output: data/externals/dwp-pension-participation.json — tidy rows. + +PolicyEngine-UK models pensions — contributions, relief, the age limit, +the salary-sacrifice interaction — and until now not one of the 15,858 +UK external claims said anything about pensions at all. This is the +external side. + +The measure is PARTICIPATION: the share of ELIGIBLE employees saving +into a workplace pension, by earnings band, age band and region, split +Public / Private / Overall, 2009-2025. + +Three things the publication forces, each handled explicitly: + +1. **Eligibility is part of the identity, not a footnote.** The + denominator is employees ELIGIBLE for automatic enrolment — which is + itself defined by an earnings trigger and an age range that have + moved over the series. A participation rate whose denominator is + unstated is uninterpretable, so every row carries the population it + is a share of. + +2. **The sheets hold SIX tables side by side and only the first is + labelled.** Row 6 of each sheet describes block 1 ("Percentage of + eligible employees participating") and is blank above the other five. + Rather than guess what the unlabelled blocks measure, this adapter + reads block 1 and TALLIES the other five as deliberately unread. A + number whose meaning is inferred from position is not a claim. + +3. **The source is ASHE**, an employer survey of jobs — the same survey + behind the Low Pay Commission lane (#88). So the same divergence axis + applies: PE-UK's certified world is FRS-based, a household survey, + and a PE-vs-DWP participation gap is a survey-population difference + before it is an engine question. That axis rides on every row. +""" + +import hashlib +import json +import re +import zipfile +import xml.etree.ElementTree as ET +from pathlib import Path + +HERE = Path(__file__).resolve().parent +RAW = HERE / "raw" +OUT_DIR = HERE.parent.parent / "data" / "externals" +OUT_DIR.mkdir(parents=True, exist_ok=True) + +SOURCE_ID = "dwp-pension-participation" +EDITION = "Workplace pension participation and savings trends: 2009 to 2025" + +MNS = "{http://schemas.openxmlformats.org/spreadsheetml/2006/main}" +RNS = "{http://schemas.openxmlformats.org/officeDocument/2006/relationships}" + +WORKBOOK = "dwp_workplace_pension_participation_2009_2025.xlsx" +SHA256 = { + WORKBOOK: "4d4bd871b23f9ef763101b4491bce437f3c02e622ce9394c857c0346fb326e41" +} + +# Block 1 is the only labelled table on each sheet; its descriptor sits +# at row 6 column 1 and is anchored so a re-shuffled workbook fails. +BLOCK1_ANCHOR = "Percentage of eligible employees participating" +BLOCK_WIDTH = 18 # label column + 17 years +HEADER_ROW = 8 +BLOCKS_PER_SHEET = 6 + +SECTORS = {"Public": "public", "Private": "private", "Overall": "all"} + +# sheet -> (axis name, {published label: canonical value}) +SHEETS = { + "1.3a": ( + "earnings_band", + { + "£10,000 - under £20,000": "gbp_10k_20k", + "£20,000 - under £30,000": "gbp_20k_30k", + "£30,000 - under £40,000": "gbp_30k_40k", + "£40,000 - under £50,000": "gbp_40k_50k", + "£50,000 - under £60,000": "gbp_50k_60k", + "£60,000 - under £70,000": "gbp_60k_70k", + "£70,000+": "gbp_70k_plus", + }, + ), + "1.4": ( + "age_band", + { + "22 to 25": "age_22_25", + "26 to 30": "age_26_30", + "31 to 35": "age_31_35", + "36 to 40": "age_36_40", + "41 to 45": "age_41_45", + "46 to 50": "age_46_50", + "51 to 55": "age_51_55", + "56 to 60": "age_56_60", + "61 to 65": "age_61_65", + }, + ), + "1.9a": ( + "region", + { + "North East": "North East", + "North West": "North West", + "Yorkshire & The Humber": "Yorkshire and the Humber", + "East Midlands": "East Midlands", + "West Midlands": "West Midlands", + "South West": "South West", + "East": "East", + "London": "London", + "South East": "South East", + "Wales": "Wales", + "Scotland": "Scotland", + }, + ), +} + +DENOMINATOR = ( + "Employees ELIGIBLE for automatic enrolment — an earnings-trigger and " + "age-range definition that has moved over the series. A participation " + "rate whose denominator is unstated is uninterpretable, so it is carried " + "on every row rather than left in a methodology note." +) +SURVEY_AXIS = ( + "DWP estimates derived from ONS ASHE, an employer survey of JOBS in " + "Great Britain. PolicyEngine-UK's certified world is FRS-based, a " + "household survey, so a PE-vs-DWP participation gap is a " + "survey-population difference before it is an engine question — the same " + "axis the Low Pay Commission lane (#88) carries." +) +GEOGRAPHY = "GB" + + +def _check_sha(fname): + digest = hashlib.sha256((RAW / fname).read_bytes()).hexdigest() + if digest != SHA256[fname]: + raise RuntimeError( + f"{fname}: sha256 {digest} != pinned {SHA256[fname]} — the raw " + "file drifted from the bytes this adapter was written against" + ) + + +def _grid(path, sheet_name): + z = zipfile.ZipFile(path) + ss = [ + "".join(t.text or "" for t in si.iter(MNS + "t")) + for si in ET.fromstring(z.read("xl/sharedStrings.xml")).iter(MNS + "si") + ] + wb = ET.fromstring(z.read("xl/workbook.xml")) + rels = { + r.get("Id"): r.get("Target") + for r in ET.fromstring(z.read("xl/_rels/workbook.xml.rels")) + } + for s in wb.iter(MNS + "sheet"): + if s.get("name") != sheet_name: + continue + root = ET.fromstring(z.read("xl/" + rels[s.get(RNS + "id")].lstrip("/"))) + grid = {} + for row in root.iter(MNS + "row"): + for c in row.iter(MNS + "c"): + v = c.find(MNS + "v") + if v is None: + continue + m = re.match(r"([A-Z]+)(\d+)", c.get("r")) + col = 0 + for ch in m.group(1): + col = col * 26 + (ord(ch) - 64) + grid[(int(m.group(2)), col)] = ( + ss[int(v.text)] if c.get("t") == "s" else v.text + ) + return grid + raise KeyError(f"no sheet {sheet_name!r}") + + +def _closed(registry, key, what): + try: + return registry[key] + except KeyError: + raise RuntimeError( + f"unregistered {what}: {key!r} — the published table changed. " + "Register it deliberately, never pass it through" + ) from None + + +def parse_sheet(sheet, out): + """Block 1 of one sheet: sector x category x year participation rates.""" + grid = _grid(RAW / WORKBOOK, sheet) + descriptor = str(grid.get((6, 1), "")).strip() + if not descriptor.startswith(BLOCK1_ANCHOR): + raise RuntimeError( + f"{sheet}: block-1 anchor failed ({descriptor!r}); the workbook " + "was re-shuffled and the unlabelled blocks make position-based " + "reading unsafe" + ) + axis, categories = SHEETS[sheet] + + # years live on the header row within block 1 only + years = { + c: int(str(v).strip()) + for (r, c), v in grid.items() + if r == HEADER_ROW and 2 <= c <= BLOCK_WIDTH and str(v).strip().isdigit() + } + if not years: + raise RuntimeError(f"{sheet}: no year headers in block 1") + + sector = None + n = 0 + for r in sorted({r for (r, c) in grid if c == 1 and r >= HEADER_ROW}): + label = str(grid.get((r, 1), "")).strip() + if label in SECTORS: + sector = SECTORS[label] + continue + if not label or sector is None: + continue + category = _closed(categories, label, f"{sheet} {axis}") + for c, year in sorted(years.items()): + if (r, c) not in grid: + continue + out.append( + { + "source": SOURCE_ID, + "country": "UK", + "geography": GEOGRAPHY, + "program": "workplace_pension", + "metric": "participation_rate", + "unit_concept": "share", + "sector": sector, + "axis": axis, + "subgroup": category, + "period": year, + "value": float(grid[(r, c)]), + "denominator": DENOMINATOR, + "survey_axis": SURVEY_AXIS, + "status": "ok", + "edition": EDITION, + "source_column": f"{sheet}:block1:{label}:{sector}:{year}", + } + ) + n += 1 + return n + + +def build(): + for fname in SHA256: + _check_sha(fname) + rows = [] + counts = {sheet: parse_sheet(sheet, rows) for sheet in SHEETS} + + # What is deliberately NOT read, tallied rather than implied. + z = zipfile.ZipFile(RAW / WORKBOOK) + wb = ET.fromstring(z.read("xl/workbook.xml")) + all_sheets = [s.get("name") for s in wb.iter(MNS + "sheet")] + unread = { + "unlabelled_side_by_side_blocks": { + "blocks": (BLOCKS_PER_SHEET - 1) * len(SHEETS), + "reason": ( + "Each sheet holds six tables side by side and only the first " + "carries a descriptor (row 6). The other five are unlabelled, " + "and a number whose meaning is inferred from its column " + "position is not a claim. They are read when DWP labels them " + "or the methodology note is transcribed deliberately." + ), + }, + "sheets_not_read": { + "sheets": len(all_sheets) - len(SHEETS) - 4, # less Cover/Contents/Guidance/Notes + "reason": ( + "The other data sheets — by sector, employer size, gender, " + "working pattern, industry, occupation, and the savings-level " + "tables — are each their own population decision rather than " + "something to sweep in because the file was already open." + ), + }, + } + + out = OUT_DIR / f"{SOURCE_ID}.json" + out.write_text(json.dumps(rows, indent=1) + "\n") + print(f"wrote {len(rows)} rows -> {out}") + for k, v in counts.items(): + print(f" {k}: {v}") + for k, v in unread.items(): + print(f" NOT READ {k}: {v.get('blocks', v.get('sheets'))}") + return rows, counts, unread + + +if __name__ == "__main__": + build() diff --git a/sources/dwp-pension-participation/raw/README.md b/sources/dwp-pension-participation/raw/README.md new file mode 100644 index 0000000..de8a3ca --- /dev/null +++ b/sources/dwp-pension-participation/raw/README.md @@ -0,0 +1,51 @@ +# dwp-pension-participation raw artifacts + +Fetched 2026-08-25 from GOV.UK via the content API attachment list for +`/government/statistics/workplace-pension-participation-and-savings-trends-2009-to-2025` +(first published 2026-07-30 — the current edition). + +| file | source URL | sha256 | +|---|---|---| +| dwp_workplace_pension_participation_2009_2025.xlsx | https://assets.publishing.service.gov.uk/media/6a68b23acc35a9471da4c1cf/workplace-pension-participation-2009-2025.xlsx | 4d4bd871b23f9ef763101b4491bce437f3c02e622ce9394c857c0346fb326e41 | + +The release also offers the same tables as ODS. The XLSX is vendored +because the repo's other spreadsheet adapters already read the +OpenXML shared-strings layout; the two are the same data. + +## What is read + +Block 1 of three sheets — the only block on each that carries a +descriptor: + +- `1.3a` participation by **earnings band** +- `1.4` participation by **age band** +- `1.9a` participation by **region** + +each split Public / Private / Overall, 2009-2025. + +## What was surveyed and deliberately NOT kept + +- **The five unlabelled side-by-side blocks on each sheet.** Every sheet + states it "contains six tables presented next to each other", and row + 6 describes only the first ("Percentage of eligible employees + participating"). The other five have no descriptor. A number whose + meaning is inferred from its column position is not a claim, so they + are tallied as unread rather than guessed at. They are readable once + DWP labels them or the methodology note is transcribed deliberately. +- **The other 21 data sheets** — by sector, employer size, gender, + working pattern, industry, occupation, and the savings-level tables. + Each is its own population decision. + +## Why the survey matters + +DWP derives these from **ONS ASHE**, an employer survey of jobs in Great +Britain — the same survey behind the Low Pay Commission lane (#88), and +not the FRS the certified policyengine-uk world is built on. That +difference is the first divergence axis for any counterpart, and it is +carried on every row rather than left here. + +## Geography + +Great Britain, not the UK: ASHE excludes Northern Ireland. Rows carry +`GB`, and the repo's registry keeps that distinct from `UK` for the same +reason #91 keeps IFS's coverage-restricted analyses distinct. diff --git a/sources/dwp-pension-participation/raw/dwp_workplace_pension_participation_2009_2025.xlsx b/sources/dwp-pension-participation/raw/dwp_workplace_pension_participation_2009_2025.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..4e261aab4f8207eb787de9a78e6874a17c3696aa GIT binary patch literal 332771 zcmeEt^M7Scv+s^=+qP|IV%xSeaVDM^6HaW~wrwX9+vd$Y=e+ma`?>G=3(j3X?Cx)O zRrRXsuIlQw)>ili0*VR%2S5S<03rbYlTnEtFaRKq0RW%?Ac3_-?Co4k?OgO#JRD4& zb?Lv`+7RY~0#jxKzKH(+^*`AH;~HyLYl4VA40i-UdJzqJ4YG4aJP1-S!HrO)KiVtR zjjgZs`Y%>%K08UCg|)p=m|gTtTvnVX$Ezh4vDRs${|>LMbi_TbLWBR1)TMKP1i$NqoM^|c0o(qIOm*h}2ZLUQ^msSmS*LVR6 z0oy!QLaXe$-9fYF6jV?qAYX=T8}jf{6}%zzej|frPo`t@a`k0*vrEE*uv~jJ15ZU7 zwZm}^>hj>MJ_yyq>dgf z(V#BcDM=46aiXpqEm{5oW$EEHPSlfW%8rZa<9@3DSqrZ_P)TPi+9~HkGoScOt`i^s z=Fc{C0YBTF{?rKPSU{xn0@DS=H=qNJFkswIYUb$(-?#GubYB`6_Ez$8 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len(entry["reason"]) > 80 + + +def test_a_reshuffled_workbook_raises(tmp_path, monkeypatch, adapter): + monkeypatch.setattr(adapter, "OUT_DIR", tmp_path) + monkeypatch.setattr(adapter, "BLOCK1_ANCHOR", "Something DWP never printed") + with pytest.raises(RuntimeError, match="block-1 anchor failed"): + adapter.build() + + +def test_an_unregistered_category_raises(tmp_path, monkeypatch, adapter): + monkeypatch.setattr(adapter, "OUT_DIR", tmp_path) + sheets = dict(adapter.SHEETS) + sheets["1.4"] = ("age_band", {"22 to 25": "age_22_25"}) + monkeypatch.setattr(adapter, "SHEETS", sheets) + with pytest.raises(RuntimeError, match="unregistered 1.4 age_band"): + adapter.build() + + +# --- ingest ------------------------------------------------------------------ + + +def test_every_claim_is_held_out(): + from scorecard_db.ingest_dwp_pensions import stage + from scorecard_db.models import CalibrationRelationship + + scores, _ = stage() + assert all( + s.calibration_relationship is CalibrationRelationship.HELD_OUT for s in scores + ) + + +def test_the_relationship_names_the_narrower_question(): + """The engine models contributions and relief but has no pension + commencement lump sum at all (#98), so the pensions question this + scorecard can ask is narrower than the pensions system.""" + from scorecard_db.models import Metric + from scorecard_db.relationships import uk_relationship + + _, evidence = uk_relationship("dwp_pensions", Metric.PARTICIPATION_RATE) + assert "no pension commencement lump sum" in evidence + assert "2026-08-25" in evidence + + +def test_full_ingest_round_trip(tmp_path): + import sqlite3 + + from scorecard_db import ScorecardDB + from scorecard_db.ingest_dwp_pensions import ingest + + db_path = tmp_path / "t.db" + ScorecardDB(db_path).close() + assert ingest(db_path)["claims"] == 1377 + conn = sqlite3.connect(db_path) + conn.row_factory = sqlite3.Row + n = conn.execute( + "SELECT COUNT(*) FROM external_scores WHERE source='dwp_pensions'" + ).fetchone()[0] + assert n == 1377 + lane = conn.execute( + "SELECT * FROM lanes WHERE lane='dwp-pension-participation'" + ).fetchone() + conn.close() + assert lane["stage"] == "ingested" + + +def test_build_db_registers_the_step(): + import inspect + + from scorecard_db import build_db + + assert "ingest_dwp_pensions.ingest" in inspect.getsource(build_db) From dc778c5e10c40ecf9b30f577521551013d548631 Mon Sep 17 00:00:00 2001 From: r Date: Tue, 25 Aug 2026 12:25:54 +0100 Subject: [PATCH 2/3] Defer the LPC age-band pair, and guard the whole class MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Found by re-checking every branch for the defect review caught on #92: DISTINCT is a plain frozenset of "source:value" strings, so nothing stops it naming a source with no registered vocabulary. A pair like that reads as if a distinction had been checked when there is nothing on the other side to check against — and because the pair is just a string, every test asserting it exists still passes. Mine did. This branch claimed DWP's age bands DISTINCT from LPC's minimum-wage age bands. The distinction is real, but the `lpc` vocabulary is registered on #93's branch and not here, so on this branch the assertion pointed at nothing. Deferred with a comment naming the prerequisite, and stated in prose in source.json where it is a sentence rather than a ledger entry. Two occurrences is a class, so it gets a guard rather than a third correction. tests/test_uk_aliases_ledger.py reads the registered sources out of uk_aliases itself — no hardcoded list — and refuses: - a DISTINCT pair naming a source with no registered vocabulary - the stricter form: a pair naming a VALUE that is registered nowhere, since "ukmod:q9" would be equally unfalsifiable plus a check that the guard is not passing trivially on a near-empty ledger. Verified by reintroducing the dangling pair and watching it fail. Suite 283 passed, two builds agree on content_hash, ruff format clean. Co-Authored-By: Claude Opus 5 (1M context) Claude-Session: https://claude.ai/code/session_016HuXJFVme8HRbnke2Ey3Me --- scorecard_db/uk_aliases.py | 14 ++- sources/dwp-pension-participation/source.json | 13 ++- tests/test_dwp_pensions.py | 21 +++- tests/test_uk_aliases_ledger.py | 104 ++++++++++++++++++ 4 files changed, 138 insertions(+), 14 deletions(-) create mode 100644 tests/test_uk_aliases_ledger.py diff --git a/scorecard_db/uk_aliases.py b/scorecard_db/uk_aliases.py index 2e7b00c..8217624 100644 --- a/scorecard_db/uk_aliases.py +++ b/scorecard_db/uk_aliases.py @@ -60,10 +60,16 @@ def _alias(source: str, axis: str, source_value: str, canonical: str) -> None: # are not UKMOD's quantiles nor anyone's deciles. ("dwp_pensions:gbp_10k_20k", "ukmod:q1"), ("dwp_pensions:gbp_70k_plus", "ukmod:q5"), - # ...and DWP's age bands are not LPC's minimum-wage age bands: - # one is an auto-enrolment range, the other a wage-rate category. - ("dwp_pensions:age_22_25", "lpc:age_18_20"), - ("dwp_pensions:age_22_25", "lpc:age_25_plus"), + # DEFERRED, deliberately: DWP's age bands are also not LPC's + # minimum-wage age bands (one is an auto-enrolment range, the + # other a wage-rate category), but the `lpc` vocabulary is + # registered on the #93 branch and not here. Asserting a pair + # against a source nobody has registered is the same overclaiming + # the review caught on #92 — the ledger would read as if the + # distinction had been checked when there is nothing on the other + # side to check against. The pairs go in once #93 lands; until + # then the distinction lives in prose, in + # sources/dwp-pension-participation/source.json. } ) diff --git a/sources/dwp-pension-participation/source.json b/sources/dwp-pension-participation/source.json index 20c3834..7ef87c3 100644 --- a/sources/dwp-pension-participation/source.json +++ b/sources/dwp-pension-participation/source.json @@ -1,6 +1,6 @@ { "id": "dwp-pension-participation", - "name": "DWP — Workplace pension participation and savings trends (2009 to 2025)", + "name": "DWP \u2014 Workplace pension participation and savings trends (2009 to 2025)", "organization": "Department for Work and Pensions", "country": "UK", "claim_class": "population_statistic", @@ -16,10 +16,13 @@ "method": "Participation is the share of employees ELIGIBLE for automatic enrolment who are saving into a workplace pension, estimated from the Annual Survey of Hours and Earnings (an employer survey of jobs), Great Britain, April reference period.", "method_basis": "DWP background information and methodology note accompanying the release" }, - "metrics": ["participation_rate"], + "metrics": [ + "participation_rate" + ], "denominator_note": "ELIGIBILITY IS PART OF THE IDENTITY. The denominator is employees eligible for automatic enrolment, defined by an earnings trigger and an age range that have both moved over the series. A participation rate whose denominator is unstated is uninterpretable, so it is carried on every claim rather than left in a methodology note.", "period": "ASHE April reference years 2009 to 2025, carried as calendar years", - "geographies": "Great Britain — ASHE excludes Northern Ireland, so rows carry GB and not UK", - "coverage_note": "What is READ: block 1 of sheets 1.3a (earnings band), 1.4 (age band) and 1.9a (region), each split Public / Private / Overall. What is deliberately NOT read and tallied by the build: the five unlabelled side-by-side blocks on each of those sheets, because every sheet holds six tables next to each other and only the first carries a descriptor — a number whose meaning is inferred from its column position is not a claim; and the other 21 data sheets, each of which is its own population decision.", - "diagnosis_upstream": "Built on ASHE, an employer survey of jobs, where the certified policyengine-uk world is FRS-based, a household survey. A PE-vs-DWP participation gap is a survey-population difference before it is an engine question — the same axis the Low Pay Commission lane (#88) carries — and it must be sized before any engine defect is named, and then only through the citable-known-issue gate. Note also that PE-UK models pension CONTRIBUTIONS and their relief but has no representation of the pension commencement lump sum (verified at the certified pin, #98), so the pensions question this scorecard can ask is narrower than the pensions system." + "geographies": "Great Britain \u2014 ASHE excludes Northern Ireland, so rows carry GB and not UK", + "coverage_note": "What is READ: block 1 of sheets 1.3a (earnings band), 1.4 (age band) and 1.9a (region), each split Public / Private / Overall. What is deliberately NOT read and tallied by the build: the five unlabelled side-by-side blocks on each of those sheets, because every sheet holds six tables next to each other and only the first carries a descriptor \u2014 a number whose meaning is inferred from its column position is not a claim; and the other 21 data sheets, each of which is its own population decision.", + "diagnosis_upstream": "Built on ASHE, an employer survey of jobs, where the certified policyengine-uk world is FRS-based, a household survey. A PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries \u2014 and it must be sized before any engine defect is named, and then only through the citable-known-issue gate. Note also that PE-UK models pension CONTRIBUTIONS and their relief but has no representation of the pension commencement lump sum (verified at the certified pin, #98), so the pensions question this scorecard can ask is narrower than the pensions system.", + "identity_note": "DWP's auto-enrolment earnings bands are defined by the enrolment trigger, not by an income distribution, so they are recorded DISTINCT from UKMOD's quantiles in uk_aliases. The same is true of DWP's age bands against the Low Pay Commission's minimum-wage age bands \u2014 one is an enrolment range, the other a wage-rate category \u2014 but that pair is DEFERRED from the ledger until the LPC vocabulary lands (#93/PR #93): asserting distinctness against a source nobody has registered would read as if it had been checked when there is nothing on the other side to check against." } diff --git a/tests/test_dwp_pensions.py b/tests/test_dwp_pensions.py index 4a3f918..a56ed93 100644 --- a/tests/test_dwp_pensions.py +++ b/tests/test_dwp_pensions.py @@ -115,11 +115,22 @@ def test_eligibility_bands_are_not_income_quantiles(): assert ("dwp_pensions:gbp_70k_plus", "ukmod:q5") in DISTINCT -def test_pension_age_bands_are_not_minimum_wage_age_bands(): - """One is an auto-enrolment range, the other a wage-rate category.""" - from scorecard_db.uk_aliases import DISTINCT - - assert ("dwp_pensions:age_22_25", "lpc:age_18_20") in DISTINCT +def test_the_lpc_age_band_distinction_is_deferred_not_asserted(): + """DWP's age bands are also not LPC's minimum-wage age bands — one is + an enrolment range, the other a wage-rate category — but the `lpc` + vocabulary is registered on #93's branch, not here. Asserting a pair + against a source nobody has registered is the same overclaiming the + review caught on #92: the ledger would read as if the distinction had + been checked when there is nothing on the other side. So it is + deferred in a comment and stated in prose instead.""" + from scorecard_db.uk_aliases import DISTINCT, known + + assert not known("lpc", "subgroup"), "lpc is registered here after all" + assert not any("lpc" in a + b for a, b in DISTINCT) + src = (ROOT / "scorecard_db" / "uk_aliases.py").read_text() + assert "DEFERRED, deliberately" in src + note = json.loads((LANE / "source.json").read_text())["identity_note"] + assert "DEFERRED from the ledger" in note def test_unregistered_values_raise(): diff --git a/tests/test_uk_aliases_ledger.py b/tests/test_uk_aliases_ledger.py new file mode 100644 index 0000000..2266b0c --- /dev/null +++ b/tests/test_uk_aliases_ledger.py @@ -0,0 +1,104 @@ +"""The DISTINCT ledger only ever contains checkable assertions. + +`DISTINCT` is a plain frozenset of `"source:value"` strings, so nothing +stops it naming a source that has no registered vocabulary. A pair like +that reads as if a distinction had been checked when there is nothing on +the other side to check against — and, because the pair is just a +string, every test asserting it exists still passes. + +That defect was caught by review on #92 (ONS quintiles claimed distinct +from HBAI, which registers no quantile vocabulary at all) and it recurred +on the pensions branch (DWP age bands claimed distinct from LPC, whose +vocabulary lives on another branch). Two occurrences is a class, so it +gets a guard rather than a third correction. +""" + +import re +from pathlib import Path + +import pytest + +from scorecard_db.uk_aliases import DISTINCT, known + +ROOT = Path(__file__).resolve().parent.parent +SOURCE = (ROOT / "scorecard_db" / "uk_aliases.py").read_text() + + +def _registered_sources(): + """Every source with at least one registered value, read from the + registry itself rather than a hardcoded list.""" + sources = set() + for axis_call in re.finditer( + r'_(?:identity|alias)\(\s*\n?\s*"([a-z_0-9]+)"', SOURCE + ): + sources.add(axis_call.group(1)) + for pair in re.findall(r"for _src in \(([^)]*)\)", SOURCE): + sources.update(re.findall(r'"([a-z_0-9]+)"', pair)) + return sources + + +def test_every_distinct_pair_names_two_registered_sources(): + """An assertion against a source nobody registered is not a + distinction — it is a sentence.""" + registered = _registered_sources() + dangling = sorted( + { + side.split(":", 1)[0] + for pair in DISTINCT + for side in pair + if ":" in side and side.split(":", 1)[0] not in registered + } + ) + assert not dangling, ( + f"DISTINCT names sources with no registered vocabulary: {dangling}. " + "Either register them, or defer the pair with a comment saying which " + "branch or issue brings the other side — do not assert against " + "nothing." + ) + + +def test_every_distinct_value_exists_on_its_own_side(): + """The stricter form: not just the source, the VALUE. A pair naming + `ukmod:q9` would be equally unfalsifiable.""" + missing = [] + for pair in DISTINCT: + for side in pair: + if ":" not in side: + continue + src, value = side.split(":", 1) + axes = ( + "program", + "subgroup", + "geography", + "income_group", + "quantile", + "unit", + "benefit", + "earnings_band", + "age_band", + "region", + "income_concept", + "statistic", + "rate_scope", + "poverty_line", + "housing_costs", + "sector", + ) + if not any(value in known(src, axis) for axis in axes): + missing.append(side) + assert not missing, ( + f"DISTINCT names values that are not registered anywhere: " + f"{sorted(set(missing))}" + ) + + +def test_the_guard_is_not_passing_trivially(): + """A guard that would pass on an empty set is not a guard. The + long-standing base pairs must be present, so the checks above are + actually checking something.""" + assert ("dwp_takeup:benefit_units", "ukmod:families") in DISTINCT + assert ( + "dwp_takeup:housing_benefit_pensioners", + "ukmod:housing_benefit", + ) in DISTINCT + assert len(DISTINCT) >= 4 From 5252b75e4c7efb3ac87e1c2df8641ca858cdb36b Mon Sep 17 00:00:00 2001 From: r Date: Tue, 25 Aug 2026 14:14:31 +0100 Subject: [PATCH 3/3] Fix a wrong cross-reference in the deferral note MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit source.json cited the LPC lane as "(#93/PR #93)", conflating the issue with the pull request. The issue is #88; #93 is its PR. The uk_aliases comment and the test both say "#93's branch", which is correct — it is the branch that carries the vocabulary — so only the source.json note needed correcting. Small, but this note exists to tell a future reader where the other half of a deferred assertion lives, and a wrong pointer defeats the point of writing it down. Co-Authored-By: Claude Opus 5 (1M context) Claude-Session: https://claude.ai/code/session_016HuXJFVme8HRbnke2Ey3Me --- sources/dwp-pension-participation/source.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sources/dwp-pension-participation/source.json b/sources/dwp-pension-participation/source.json index 7ef87c3..7187663 100644 --- a/sources/dwp-pension-participation/source.json +++ b/sources/dwp-pension-participation/source.json @@ -24,5 +24,5 @@ "geographies": "Great Britain \u2014 ASHE excludes Northern Ireland, so rows carry GB and not UK", "coverage_note": "What is READ: block 1 of sheets 1.3a (earnings band), 1.4 (age band) and 1.9a (region), each split Public / Private / Overall. What is deliberately NOT read and tallied by the build: the five unlabelled side-by-side blocks on each of those sheets, because every sheet holds six tables next to each other and only the first carries a descriptor \u2014 a number whose meaning is inferred from its column position is not a claim; and the other 21 data sheets, each of which is its own population decision.", "diagnosis_upstream": "Built on ASHE, an employer survey of jobs, where the certified policyengine-uk world is FRS-based, a household survey. A PE-vs-DWP participation gap is a survey-population difference before it is an engine question \u2014 the same axis the Low Pay Commission lane (#88) carries \u2014 and it must be sized before any engine defect is named, and then only through the citable-known-issue gate. Note also that PE-UK models pension CONTRIBUTIONS and their relief but has no representation of the pension commencement lump sum (verified at the certified pin, #98), so the pensions question this scorecard can ask is narrower than the pensions system.", - "identity_note": "DWP's auto-enrolment earnings bands are defined by the enrolment trigger, not by an income distribution, so they are recorded DISTINCT from UKMOD's quantiles in uk_aliases. The same is true of DWP's age bands against the Low Pay Commission's minimum-wage age bands \u2014 one is an enrolment range, the other a wage-rate category \u2014 but that pair is DEFERRED from the ledger until the LPC vocabulary lands (#93/PR #93): asserting distinctness against a source nobody has registered would read as if it had been checked when there is nothing on the other side to check against." + "identity_note": "DWP's auto-enrolment earnings bands are defined by the enrolment trigger, not by an income distribution, so they are recorded DISTINCT from UKMOD's quantiles in uk_aliases. The same is true of DWP's age bands against the Low Pay Commission's minimum-wage age bands \u2014 one is an enrolment range, the other a wage-rate category \u2014 but that pair is DEFERRED from the ledger until the LPC vocabulary lands (issue #88, PR #93): asserting distinctness against a source nobody has registered would read as if it had been checked when there is nothing on the other side to check against." }