GovTwin freshness
The Stage 1 mirror ledger for 5762 institutions: every district-panel feed with its source file and as-of date, every parquet table under the twin lake, the sync coverage, and every gap named. The page reports the gaps; it does not grade them away.
ledger as-of 2026-10-11 · schema version 1
Back to GovTwin → | The JSON twin of this page → the same ledger, served as JSON.
Freshness across the whole twin
All 21 registered district-panel leaves, counted by freshness label. Every label of the ledger's vocabulary is printed, zeros included. A label the ledger itself calls not green (dead, stale, unavailable) with a non-zero count is a problem, so it is marked as one; no green share and no aggregate score is computed, because a score would hide a non-zero not-green label behind the healthy ones.
15
current
0
dead
0
live
0
stale
4
static
2
unavailable
problem
District-panel leaves
One row per registered leaf of the 64-district panel: where the number comes from, how often it should move, and whether the file behind it is on disk. A source file that is absent has no size, so its size cell reads absent rather than a zero that would suggest an empty file.
| Field | Kind | Source path | Source column | Cadence days | As-of | State | On disk | Size bytes |
|---|---|---|---|---|---|---|---|---|
| climate.cyclone_risk | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | Cyclone Risk | 365 | 2026-09-04 | current | yes | 16,149 |
| climate.drought_risk | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | Drought Risk | 365 | 2026-09-04 | current | yes | 16,149 |
| climate.heat_gap_c | PROXY | data/lake/geo/multihazard_districts.parquet | heat_gap_day_c | 365 | 2026-06-07 | current | yes | 16,801 |
| climate.pm25_air_quality | PROXY | data/lake/geo/multihazard_districts.parquet | pw_pm25_c | 365 | 2026-06-07 | current | yes | 16,801 |
| climate.salinity_risk | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | Salinity Risk | 365 | 2026-09-04 | current | yes | 16,149 |
| exposure_rank | PROXY | data/lake/geo/multihazard_districts.parquet | exposure_rank | 365 | 2026-06-07 | current | yes | 16,801 |
| flood.cropland_100yr_flood_risk_ha | PROXY | data/lake/geo/multihazard_districts.parquet | cropland_ha_rp100 | 365 | 2026-06-07 | current | yes | 16,801 |
| flood.flood_frequency_pct | UNAVAILABLE | bd_gis/outputs/floods/district_flood_frequency.csv | flood_frequency | - | - | unavailable | no | absent |
| flood.lecz_population_pct | PROXY | data/lake/geo/multihazard_districts.parquet | pct_lecz5 | 365 | 2026-06-07 | current | yes | 16,801 |
| flood.pop_100yr_flood_risk_pct | PROXY | data/lake/geo/multihazard_districts.parquet | pct_pop_rp100 | 365 | 2026-06-07 | current | yes | 16,801 |
| flood.riverbank_erosion_risk | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | Riverbank Erosion | 365 | 2026-09-04 | current | yes | 16,149 |
| localgov.pourashava_names | OFFICIAL | app/govtwin/seed_data/pourashava_official_list.json | - | - | 2026-10-10 | static | yes | 39,431 |
| localgov.pourashavas_count | OFFICIAL | app/govtwin/seed_data/pourashava_official_list.json | - | - | 2026-10-10 | static | yes | 39,431 |
| localgov.upazila_names | OFFICIAL | app/govtwin/seed_data/upazilas.json | - | - | 2026-10-10 | static | yes | 95,280 |
| localgov.upazilas_count | OFFICIAL | app/govtwin/seed_data/upazilas.json | - | - | 2026-10-10 | static | yes | 95,280 |
| mean_elevation_m | UNAVAILABLE | bd_gis/outputs/floods/district_mean_elevation.csv | mean_elevation_m | - | - | unavailable | no | absent |
| population | PROXY | data/lake/geo/multihazard_districts.parquet | total_pop | 365 | 2026-06-07 | current | yes | 16,801 |
| vulnerability.hazard_exposure_score | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | hazard_exposure | 365 | 2026-09-04 | current | yes | 16,149 |
| vulnerability.inform_risk_score | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | inform_risk | 365 | 2026-09-04 | current | yes | 16,149 |
| vulnerability.lack_of_coping_capacity | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | lack_coping | 365 | 2026-09-04 | current | yes | 16,149 |
| vulnerability.socio_economic_vulnerability | OFFICIAL | data/lake/geo/inform_subnational_risk_bd.parquet | vulnerability | 365 | 2026-09-04 | current | yes | 16,149 |
Panel sources on disk
The 6 distinct files behind the leaves above. An absent file stays absent: the ledger reports it as unavailable, and this page prints no fallback number for a feed it cannot see.
| Source path | Status | Size bytes |
|---|---|---|
| app/govtwin/seed_data/pourashava_official_list.json | present | 39,431 |
| app/govtwin/seed_data/upazilas.json | present | 95,280 |
| bd_gis/outputs/floods/district_flood_frequency.csv | absent | absent |
| bd_gis/outputs/floods/district_mean_elevation.csv | absent | absent |
| data/lake/geo/inform_subnational_risk_bd.parquet | present | 16,149 |
| data/lake/geo/multihazard_districts.parquet | present | 16,801 |
Proxy validations
Spec 1a: every published proxy sits beside the official series it was validated against, and a proxy with no such row is never published as validated. The registry is data/lake/govtwin/proxy_registry.parquet (16,082). A missing comparator is printed as not validated, never as a substituted number.
2
unavailable
problem
6
unvalidated
problem
1
validated
| Field | Stands in for | Status | Validated against | Why |
|---|---|---|---|---|
| climate.heat_gap_c | warm-season daytime land-surface heat gap (degC) | unvalidated | not validated | MODIS land-surface temperature, not air temperature, and this checkout holds no district air-temperature series, so the row publishes no correlation rather than a borrowed one |
| climate.pm25_air_quality | annual population-weighted PM2.5 (ug/m3) | unvalidated | not validated | the only PM2.5 observation table in this checkout (data/lake/environment/imed_case_cams_hourly_air_quality_observations_2023.parquet) is 39 hourly rows at two Dhaka CAMS stations, so it cannot validate a 64-district proxy |
| exposure_rank | composite climate-hazard exposure rank, 0-100 | unvalidated | not validated | a within-country percentile mean of pop_rp100, pop_lecz5, pw_lst_day_c and pw_pm25_c (scripts/gee/multihazard_districts.py:44-50), relative by construction and inheriting each upstream layer's own bias; no official district exposure ranking exists in this checkout |
| flood.cropland_100yr_flood_risk_ha | cropland hectares inside the GloFAS 100-year floodplain | unvalidated | not validated | no official district cropland-flood extent is on disk; the only district floodplain column outside data/lake/geo is dof_64_district_fish_production_census_2024.floodplain_mt, floodplain fish production in tonnes, a different quantity |
| flood.flood_frequency_pct | satellite-observed district flood frequency (percent) | unavailable | not validated | the registered source bd_gis/outputs/floods/district_flood_frequency.csv is absent in this checkout, so no value is published for this leaf and none can be validated |
| flood.lecz_population_pct | share of district population below 5 m elevation | unvalidated | not validated | FABDEM 30 m bare-earth elevation joined to WorldPop 2020; no independent district below-5 m population figure is on disk to compare against |
| flood.pop_100yr_flood_risk_pct | share of district population inside the GloFAS 100-year floodplain | unvalidated | not validated | JRC/CEMS_GLOFAS v2.1 floodplain on WorldPop 2020 (scripts/gee/flood_exposure_districts.py:27-37); no official district flood-exposure share is on disk, and the population denominator carries the same undercount the population row measures |
| mean_elevation_m | district mean elevation (metres) | unavailable | not validated | the registered source bd_gis/outputs/floods/district_mean_elevation.csv is absent in this checkout, so the leaf is None for all 64 districts and no number is published to validate |
| population | district resident population (headcount) | validated | data/lake/demographics/bbs_census_district_locality_hijra.parquet:pop_total | validated but biased low, not interchangeable with a headcount: WorldPop 2020 totals 141,203,882 against the census 165,158,616 (-14.5%), the median district is 16.11% low and the worst is 24.69% low (Gopalganj 975,355 vs 1,295,057), and only 3 of 64 districts sit within 5%; use this proxy for within-country rank and shares, never as a total |
Twin lake tables
Every parquet table under data/lake/govtwin, with its row count read back through duckdb: 130 tables, 4,058,639 rows, 418,427,459 bytes in total.
| Table | Path | Rows | Size bytes | Modified (UTC) |
|---|---|---|---|---|
| admin_units | data/lake/govtwin/admin_units.parquet | 5,130 | 149,613 | 2026-09-11T09:57:47+00:00 |
| adp_2026_27_projects | data/lake/govtwin/adp_2026_27_projects.parquet | 1,165 | 37,739 | 2026-09-22T23:46:42.671940+00:00 |
| adp_portfolio | data/lake/govtwin/adp_portfolio.parquet | 56 | 41,388 | 2026-06-06T20:25:16+00:00 |
| annual_reports_documents | data/lake/govtwin/annual_reports_documents.parquet | 233 | 62,366 | 2026-09-23T03:35:24.094826+00:00 |
| appropriation_accounts_grants | data/lake/govtwin/appropriation_accounts_grants.parquet | 578 | 30,397 | 2026-09-23T03:36:13.287458+00:00 |
| appropriation_accounts_org_entity | data/lake/govtwin/appropriation_accounts_org_entity.parquet | 283 | 20,789 | 2026-09-23T03:42:25.721724+00:00 |
| asset_register_sites | data/lake/govtwin/asset_register_sites.parquet | 2,553 | 117,378 | 2026-09-23T06:37:00.132921+00:00 |
| autonomous_briefings | data/lake/govtwin/autonomous_briefings.parquet | 192 | 289,333 | 2026-09-06T02:01:21+00:00 |
| bridges_transport_structures | data/lake/govtwin/bridges_transport_structures.parquet | 3,612 | 161,412 | 2026-09-17T02:23:12+00:00 |
| budget_lines | data/lake/govtwin/budget_lines.parquet | 458 | 10,966 | 2026-09-20T22:24:02.834870+00:00 |
| budgets | data/lake/govtwin/budgets.parquet | 16 | 5,240 | 2026-08-09T05:25:49+00:00 |
| cabinet_committee_members | data/lake/govtwin/cabinet_committee_members.parquet | 127 | 15,824 | 2026-09-23T00:54:04.331492+00:00 |
| cabinet_committees | data/lake/govtwin/cabinet_committees.parquet | 73 | 31,392 | 2026-09-23T00:54:04.341492+00:00 |
| cabinet_dated_meetings | data/lake/govtwin/cabinet_dated_meetings.parquet | 5 | 6,923 | 2026-09-23T00:54:04.349492+00:00 |
| cabinet_monthly_activity | data/lake/govtwin/cabinet_monthly_activity.parquet | 10 | 7,876 | 2026-09-23T00:54:04.358492+00:00 |
| cabinet_resolutions | data/lake/govtwin/cabinet_resolutions.parquet | 7 | 10,989 | 2026-09-23T00:54:04.366491+00:00 |
| cag_audit_reports | data/lake/govtwin/cag_audit_reports.parquet | 377 | 67,048 | 2026-09-23T03:33:16.188224+00:00 |
| cag_auditee_entity | data/lake/govtwin/cag_auditee_entity.parquet | 83 | 11,550 | 2026-09-23T03:42:25.725724+00:00 |
| committee_members | data/lake/govtwin/committee_members.parquet | 196 | 2,994 | 2026-06-06T20:25:16+00:00 |
| council_of_ministers | data/lake/govtwin/council_of_ministers.parquet | 91 | 14,468 | 2026-09-23T00:54:04.374491+00:00 |
| crisis_links | data/lake/govtwin/crisis_links.parquet | 336 | 5,048 | 2026-06-06T20:25:16+00:00 |
| demands_grants_extracts | data/lake/govtwin/demands_grants_extracts.parquet | 63 | 4,780 | 2026-09-11T14:48:06+00:00 |
| dfg_unit_entity | data/lake/govtwin/dfg_unit_entity.parquet | 216 | 35,466 | 2026-09-23T06:01:30.680230+00:00 |
| doc_entity_links | data/lake/govtwin/doc_entity_links.parquet | 12,807 | 34,646 | 2026-09-11T14:48:05+00:00 |
| doc_entity_links_v2 | data/lake/govtwin/doc_entity_links_v2.parquet | 113,830 | 2,419,974 | 2026-09-23T00:47:36.998079+00:00 |
| egp_awards | data/lake/govtwin/egp_awards.parquet | 879,494 | 86,972,193 | 2026-09-20T22:55:48.032142+00:00 |
| egp_tenders | data/lake/govtwin/egp_tenders.parquet | 627,332 | 44,055,055 | 2026-09-20T22:55:27.015652+00:00 |
| entities | data/lake/govtwin/entities.parquet | 35,648 | 11,945,903 | 2026-09-21T19:41:53.304869+00:00 |
| entity_domains | data/lake/govtwin/entity_domains.parquet | 295 | 3,773 | 2026-08-09T05:25:47+00:00 |
| entity_legal | data/lake/govtwin/entity_legal.parquet | 137 | 3,387 | 2026-08-09T05:25:48+00:00 |
| entity_legal_provenance | data/lake/govtwin/entity_legal_provenance.parquet | 137 | 22,356 | 2026-09-23T09:30:17.128714+00:00 |
| erd_ongoing_projects_census | data/lake/govtwin/erd_ongoing_projects_census.parquet | 46 | 10,296 | 2026-09-14T13:16:29+00:00 |
| erd_wings_master_structure | data/lake/govtwin/erd_wings_master_structure.parquet | 10 | 13,791 | 2026-09-14T13:16:29+00:00 |
| field_office_egp_procuring_agyx1 | data/lake/govtwin/field_office_egp_procuring_agyx1.parquet | 4,626 | 657,748 | 2026-09-25T08:15:55.375356+00:00 |
| field_office_kind_crosswalk_fo | data/lake/govtwin/field_office_kind_crosswalk_fo.parquet | 13 | 51,299 | 2026-09-23T16:30:35.793116+00:00 |
| field_office_parent_agyx1 | data/lake/govtwin/field_office_parent_agyx1.parquet | 398 | 50,593 | 2026-09-25T08:15:55.375356+00:00 |
| field_office_place_agyx1 | data/lake/govtwin/field_office_place_agyx1.parquet | 9,597 | 608,578 | 2026-09-25T08:15:55.376356+00:00 |
| field_office_place_geocoded_pins | data/lake/govtwin/field_office_place_geocoded_pins.parquet | 29,886 | 756,520 | 2026-10-09T20:57:39+00:00 |
| field_office_satellite_proxies | data/lake/govtwin/field_office_satellite_proxies.parquet | 29,886 | 2,570,088 | 2026-10-09T20:57:39+00:00 |
| gazette_body_mentions | data/lake/govtwin/gazette_body_mentions.parquet | 2,221 | 274,056 | 2026-09-23T06:28:40.829091+00:00 |
| gazette_extraordinary_index | data/lake/govtwin/gazette_extraordinary_index.parquet | 47,609 | 3,768,699 | 2026-09-23T03:23:35.930775+00:00 |
| gazette_ministry_entity | data/lake/govtwin/gazette_ministry_entity.parquet | 73 | 13,979 | 2026-09-23T03:42:25.728723+00:00 |
| government_lands_inventory | data/lake/govtwin/government_lands_inventory.parquet | 65 | 17,047 | 2026-09-14T03:02:24+00:00 |
| govtwin_media_corpus_100k | data/lake/govtwin/govtwin_media_corpus_100k.parquet | 108,994 | 185,039,281 | 2026-10-09T13:43:16+00:00 |
| govtwin_media_entity_links_100k | data/lake/govtwin/govtwin_media_entity_links_100k.parquet | 148,334 | 9,192,144 | 2026-10-09T23:02:35+00:00 |
| govtwin_media_subnational_links | data/lake/govtwin/govtwin_media_subnational_links.parquet | 9,141 | 428,421 | 2026-10-09T23:02:35+00:00 |
| ibas_statement2_quarterly | data/lake/govtwin/ibas_statement2_quarterly.parquet | 1,056 | 89,092 | 2026-09-23T01:17:04.948318+00:00 |
| indicator_links | data/lake/govtwin/indicator_links.parquet | 8,615 | 242,173 | 2026-09-16T14:24:07+00:00 |
| legal_framework | data/lake/govtwin/legal_framework.parquet | 143 | 27,533 | 2026-08-09T05:25:47+00:00 |
| local_gov_satellite_proxies | data/lake/govtwin/local_gov_satellite_proxies.parquet | 5,329 | 616,729 | 2026-10-09T20:57:39+00:00 |
| localgov_city_pourashava_budgets | data/lake/govtwin/localgov_city_pourashava_budgets.parquet | 607 | 24,253 | 2026-09-23T00:47:00.197144+00:00 |
| mof_crosswalk_decisions | data/lake/govtwin/mof_crosswalk_decisions.parquet | 62 | 23,891 | 2026-09-23T00:42:35.637269+00:00 |
| mof_monthly_fiscal_report_ministry | data/lake/govtwin/mof_monthly_fiscal_report_ministry.parquet | 6,040 | 407,520 | 2026-09-23T01:17:04.987317+00:00 |
| mps | data/lake/govtwin/mps.parquet | 300 | 36,198 | 2026-09-17T02:23:12+00:00 |
| mtbf_institution_actuals | data/lake/govtwin/mtbf_institution_actuals.parquet | 3,691 | 147,710 | 2026-09-23T05:40:22.093463+00:00 |
| name_crosswalk_mof_entities | data/lake/govtwin/name_crosswalk_mof_entities.parquet | 62 | 7,988 | 2026-09-21T02:25:27.292832+00:00 |
| national_body_actuals_as3 | data/lake/govtwin/national_body_actuals_as3.parquet | 264 | 56,782 | 2026-09-23T17:07:58.141720+00:00 |
| national_body_actuals_w6 | data/lake/govtwin/national_body_actuals_w6.parquet | 13 | 14,934 | 2026-09-23T14:48:21.448200+00:00 |
| national_body_actuals_w6b | data/lake/govtwin/national_body_actuals_w6b.parquet | 13 | 18,005 | 2026-09-23T15:39:41.505888+00:00 |
| national_body_budget_w6 | data/lake/govtwin/national_body_budget_w6.parquet | 255 | 26,244 | 2026-09-23T14:48:44.480566+00:00 |
| national_body_budget_w6b | data/lake/govtwin/national_body_budget_w6b.parquet | 10 | 17,312 | 2026-09-23T15:39:41.510888+00:00 |
| national_body_founding_events | data/lake/govtwin/national_body_founding_events.parquet | 67 | 51,694 | 2026-09-23T08:00:26.802544+00:00 |
| national_body_founding_events_gz | data/lake/govtwin/national_body_founding_events_gz.parquet | 1 | 12,945 | 2026-09-23T17:29:01.374683+00:00 |
| national_body_founding_events_ml | data/lake/govtwin/national_body_founding_events_ml.parquet | 6 | 25,750 | 2026-09-23T16:34:23.689007+00:00 |
| national_body_founding_events_univ | data/lake/govtwin/national_body_founding_events_univ.parquet | 62 | 9,652 | 2026-10-09T20:57:39+00:00 |
| national_body_founding_events_w6 | data/lake/govtwin/national_body_founding_events_w6.parquet | 37 | 28,836 | 2026-09-23T13:40:49.611537+00:00 |
| national_body_legal_basis | data/lake/govtwin/national_body_legal_basis.parquet | 41 | 21,816 | 2026-09-23T06:56:22.278817+00:00 |
| national_body_legal_basis_aob | data/lake/govtwin/national_body_legal_basis_aob.parquet | 65 | 20,268 | 2026-10-09T20:57:39+00:00 |
| national_body_legal_basis_gz | data/lake/govtwin/national_body_legal_basis_gz.parquet | 9 | 19,938 | 2026-09-23T17:29:01.311685+00:00 |
| national_body_legal_basis_ml | data/lake/govtwin/national_body_legal_basis_ml.parquet | 1 | 22,178 | 2026-09-23T16:34:23.631009+00:00 |
| national_body_legal_basis_r2 | data/lake/govtwin/national_body_legal_basis_r2.parquet | 6 | 26,676 | 2026-09-23T08:18:16.350134+00:00 |
| national_body_legal_basis_r3 | data/lake/govtwin/national_body_legal_basis_r3.parquet | 12 | 17,080 | 2026-09-23T13:40:49.557539+00:00 |
| national_body_mandate | data/lake/govtwin/national_body_mandate.parquet | 2,113 | 468,040 | 2026-09-23T02:51:46.954978+00:00 |
| national_body_mandate_gz | data/lake/govtwin/national_body_mandate_gz.parquet | 6 | 9,904 | 2026-09-23T17:29:01.356684+00:00 |
| national_body_mandate_ml | data/lake/govtwin/national_body_mandate_ml.parquet | 151 | 52,162 | 2026-09-23T16:34:23.662008+00:00 |
| national_body_mandate_web2 | data/lake/govtwin/national_body_mandate_web2.parquet | 195 | 65,956 | 2026-09-23T07:25:46.716897+00:00 |
| national_body_mandate_web3 | data/lake/govtwin/national_body_mandate_web3.parquet | 88 | 26,906 | 2026-09-23T13:40:49.517540+00:00 |
| national_body_mandates_deep | data/lake/govtwin/national_body_mandates_deep.parquet | 92 | 22,198 | 2026-10-09T23:01:09+00:00 |
| national_body_officials_st | data/lake/govtwin/national_body_officials_st.parquet | 50 | 11,992 | 2026-10-09T20:57:39+00:00 |
| national_body_officials_w6 | data/lake/govtwin/national_body_officials_w6.parquet | 42 | 20,318 | 2026-09-23T15:39:41.510888+00:00 |
| national_body_operational_sites | data/lake/govtwin/national_body_operational_sites.parquet | 338 | 49,610 | 2026-09-23T08:29:41.582842+00:00 |
| national_body_operational_sites_w6 | data/lake/govtwin/national_body_operational_sites_w6.parquet | 26 | 9,481 | 2026-09-23T13:40:49.686535+00:00 |
| national_body_operational_sites_w6b | data/lake/govtwin/national_body_operational_sites_w6b.parquet | 635 | 28,013 | 2026-09-23T14:16:28.393333+00:00 |
| national_body_parent_override_bp | data/lake/govtwin/national_body_parent_override_bp.parquet | 104 | 16,728 | 2026-10-09T23:01:09+00:00 |
| national_body_parent_resolution | data/lake/govtwin/national_body_parent_resolution.parquet | 57 | 23,828 | 2026-09-23T07:40:01.284502+00:00 |
| national_body_place | data/lake/govtwin/national_body_place.parquet | 403 | 94,976 | 2026-09-23T02:32:36.787591+00:00 |
| nbr_monthly_revenue_statements | data/lake/govtwin/nbr_monthly_revenue_statements.parquet | 3,915 | 60,101 | 2026-09-23T00:54:59.753046+00:00 |
| officials | data/lake/govtwin/officials.parquet | 341 | 15,334 | 2026-09-17T02:23:14+00:00 |
| officials_sources | data/lake/govtwin/officials_sources.parquet | 341 | 36,571 | 2026-09-23T00:31:30.842193+00:00 |
| peer_countries | data/lake/govtwin/peer_countries.parquet | 6 | 5,729 | 2026-08-09T05:25:49+00:00 |
| peer_entities | data/lake/govtwin/peer_entities.parquet | 151 | 8,003 | 2026-08-09T05:25:50+00:00 |
| peer_metrics | data/lake/govtwin/peer_metrics.parquet | 150 | 9,386 | 2026-08-09T05:35:55+00:00 |
| policy_domains | data/lake/govtwin/policy_domains.parquet | 84 | 7,830 | 2026-08-09T05:25:45+00:00 |
| posts_sanctioned_filled | data/lake/govtwin/posts_sanctioned_filled.parquet | 1,388 | 74,516 | 2026-09-23T01:43:55.606605+00:00 |
| procuring_office_entity | data/lake/govtwin/procuring_office_entity.parquet | 565 | 58,540 | 2026-09-23T07:13:46.495203+00:00 |
| procuring_office_entity_r2 | data/lake/govtwin/procuring_office_entity_r2.parquet | 25 | 10,409 | 2026-09-23T14:48:44.480566+00:00 |
| proxy_registry | data/lake/govtwin/proxy_registry.parquet | 9 | 16,082 | 2026-09-13T10:00:40+00:00 |
| publication_links | data/lake/govtwin/publication_links.parquet | 109 | 6,119 | 2026-06-06T20:25:16+00:00 |
| rivers_waterways | data/lake/govtwin/rivers_waterways.parquet | 734 | 40,917 | 2026-09-14T02:56:53+00:00 |
| road_network_inventory | data/lake/govtwin/road_network_inventory.parquet | 65 | 19,116 | 2026-09-14T03:03:43+00:00 |
| soe_actuals | data/lake/govtwin/soe_actuals.parquet | 629 | 68,931 | 2026-09-23T07:19:26.318524+00:00 |
| soe_budget | data/lake/govtwin/soe_budget.parquet | 1,839 | 90,301 | 2026-09-23T08:36:39.850061+00:00 |
| sovereign_bdlaws_master | data/lake/govtwin/sovereign_bdlaws_master.parquet | 1,680 | 224,761 | 2026-09-20T14:50:44.278400+00:00 |
| sovereign_dfg_2026_27_lines | data/lake/govtwin/sovereign_dfg_2026_27_lines.parquet | 1,691 | 123,391 | 2026-09-22T21:25:54.363835+00:00 |
| sovereign_dfg_2026_27_projects | data/lake/govtwin/sovereign_dfg_2026_27_projects.parquet | 1,479 | 335,390 | 2026-09-22T21:25:54.376835+00:00 |
| step_dependencies | data/lake/govtwin/step_dependencies.parquet | 186 | 3,256 | 2026-05-21T01:12:09+00:00 |
| timeline_runs | data/lake/govtwin/timeline_runs.parquet | 95 | 5,624 | 2026-09-06T02:01:21+00:00 |
| timeline_snapshots | data/lake/govtwin/timeline_snapshots.parquet | 95 | 10,349 | 2026-09-06T02:01:21+00:00 |
| trade_ports | data/lake/govtwin/trade_ports.parquet | 592 | 28,301 | 2026-09-14T02:55:50+00:00 |
| twin_body_nodes | data/lake/govtwin/twin_body_nodes.parquet | 19,890 | 979,708 | 2026-09-21T00:42:19.990836+00:00 |
| twin_body_resolution | data/lake/govtwin/twin_body_resolution.parquet | 19,890 | 1,316,754 | 2026-09-21T16:57:20.055723+00:00 |
| twin_civic_commercial_clusters | data/lake/govtwin/twin_civic_commercial_clusters.parquet | 29,886 | 742,791 | 2026-10-09T22:41:50.083426+00:00 |
| twin_contractor_nodes | data/lake/govtwin/twin_contractor_nodes.parquet | 70,600 | 2,130,329 | 2026-09-21T00:42:20.896813+00:00 |
| twin_court_nodes | data/lake/govtwin/twin_court_nodes.parquet | 4,298 | 294,671 | 2026-09-22T15:40:13.952961+00:00 |
| twin_court_rulings_media | data/lake/govtwin/twin_court_rulings_media.parquet | 180 | 34,044 | 2026-10-09T20:57:39+00:00 |
| twin_court_state | data/lake/govtwin/twin_court_state.parquet | 8,852 | 419,134 | 2026-09-22T15:40:13.955961+00:00 |
| twin_district_climate_shocks | data/lake/govtwin/twin_district_climate_shocks.parquet | 6,523 | 355,881 | 2026-10-09T20:57:39+00:00 |
| twin_edge_debarment | data/lake/govtwin/twin_edge_debarment.parquet | 98 | 40,114 | 2026-09-21T00:05:27.006755+00:00 |
| twin_edge_post | data/lake/govtwin/twin_edge_post.parquet | 205,726 | 8,475,783 | 2026-09-20T23:39:42.041583+00:00 |
| twin_gazette_decisions | data/lake/govtwin/twin_gazette_decisions.parquet | 450 | 157,111 | 2026-09-21T02:33:23.259204+00:00 |
| twin_governance_oversight_media | data/lake/govtwin/twin_governance_oversight_media.parquet | 3,979 | 509,831 | 2026-10-09T20:57:39+00:00 |
| twin_local_gov_events | data/lake/govtwin/twin_local_gov_events.parquet | 302 | 136,978 | 2026-10-09T20:57:39+00:00 |
| twin_macro_timeline_events | data/lake/govtwin/twin_macro_timeline_events.parquet | 260 | 68,209 | 2026-10-09T20:57:39+00:00 |
| twin_megaproject_timeline_events | data/lake/govtwin/twin_megaproject_timeline_events.parquet | 1,507 | 309,465 | 2026-10-09T20:57:39+00:00 |
| twin_node_state | data/lake/govtwin/twin_node_state.parquet | 611,647 | 13,147,309 | 2026-09-20T23:40:35.860326+00:00 |
| twin_trace_spine | data/lake/govtwin/twin_trace_spine.parquet | 879,494 | 32,472,669 | 2026-09-22T16:36:09.658135+00:00 |
| twin_trace_summary | data/lake/govtwin/twin_trace_summary.parquet | 515 | 18,013 | 2026-09-22T16:36:09.658135+00:00 |
| unified_firm_agency_exposure | data/lake/govtwin/unified_firm_agency_exposure.parquet | 73 | 5,696 | 2026-09-21T12:34:35.669910+00:00 |
| unified_firm_registry | data/lake/govtwin/unified_firm_registry.parquet | 70,600 | 2,565,404 | 2026-09-21T12:34:35.403929+00:00 |
| university_operating_actuals | data/lake/govtwin/university_operating_actuals.parquet | 194 | 24,493 | 2026-09-23T07:54:44.977719+00:00 |
Sync coverage
5,762 institutions are registered in the twin; 0 of them have ever been synced, the latest sync stamp is never, and the snapshot lineage holds 0 snapshots, the latest taken never. An entity that has never been synced is not current, whatever its feeds say.
0
behind
0
current
5,762
never_synced
problem
Gaps, by name
Every number in the twin that is not green, in the ledger's own words. This list is the page's reason to exist: an overview that hides a gap is not an overview.
- entity_sync data/lake/govtwin/entities.parquet 5762 of 5762 institutions carry no sync row (29886 field offices are not counted here)
- panel_source flood.flood_frequency_pct unavailable: bd_gis/outputs/floods/district_flood_frequency.csv
- panel_source mean_elevation_m unavailable: bd_gis/outputs/floods/district_mean_elevation.csv
- proxy_unvalidated climate.heat_gap_c unvalidated: MODIS land-surface temperature, not air temperature, and this checkout holds no district air-temperature series, so the row publishes no correlation rather than a borrowed one
- proxy_unvalidated climate.pm25_air_quality unvalidated: the only PM2.5 observation table in this checkout (data/lake/environment/imed_case_cams_hourly_air_quality_observations_2023.parquet) is 39 hourly rows at two Dhaka CAMS stations, so it cannot validate a 64-district proxy
- proxy_unvalidated exposure_rank unvalidated: a within-country percentile mean of pop_rp100, pop_lecz5, pw_lst_day_c and pw_pm25_c (scripts/gee/multihazard_districts.py:44-50), relative by construction and inheriting each upstream layer's own bias; no official district exposure ranking exists in this checkout
- proxy_unvalidated flood.cropland_100yr_flood_risk_ha unvalidated: no official district cropland-flood extent is on disk; the only district floodplain column outside data/lake/geo is dof_64_district_fish_production_census_2024.floodplain_mt, floodplain fish production in tonnes, a different quantity
- proxy_unvalidated flood.lecz_population_pct unvalidated: FABDEM 30 m bare-earth elevation joined to WorldPop 2020; no independent district below-5 m population figure is on disk to compare against
- proxy_unvalidated flood.pop_100yr_flood_risk_pct unvalidated: JRC/CEMS_GLOFAS v2.1 floodplain on WorldPop 2020 (scripts/gee/flood_exposure_districts.py:27-37); no official district flood-exposure share is on disk, and the population denominator carries the same undercount the population row measures
Stage 2 backtest gate
Held under model-evidence review. The gate republishes the held historical backtests, and its fuel-shock event needs the OECD ICIO 2020 calibration, which is absent. No gate figure is published while the hold stands; the tracked stamp app/govtwin/backtest_gate.json is not re-derived or rewritten.
Stage 2 shock register
Every shock coefficient the simulator may use, with its citation row: the register measures what this box can source and refuses to translate any chain that still has an uncited link. 0 of 7 links are measured, 7 are unavailable, and every chain that still has one is named below with the source class that would close it.
| Chain | Published | Measured | Unavailable | Blocked links |
|---|---|---|---|---|
| flood_cropland_rice_cpi | no | 0 | 3 |
|
| fuel_price_power_cost_industrial_output | no | 0 | 3 |
|
| reserve_drawdown_import_compression | no | 0 | 1 |
|
What blocks the unavailable links
- BBS CPI reweighting or a peer-reviewed Bangladesh rice-CPI pass-through
- BPC import panel (data/lake/energy/bpc_historical_import_volumes_and_costs_panel.parquet)
- BPC/BERC tariff filing or a peer-reviewed fuel-cost pass-through
- IMF Article IV or Bangladesh Bank reserve-import compression study
- district exposure tables (data/lake/agriculture/bbs_district_land_utilization_intensity_census.parquet)
- peer-reviewed energy-output elasticity for Bangladesh manufacturing
- peer-reviewed or BIDS crop-damage elasticity for Bangladesh rice
| Link | Driver | Response | Status | Value | Unit | Source | Method | Period | Coverage |
|---|---|---|---|---|---|---|---|---|---|
| cropland_exposed_share_rp100 | RP100 riverine flood | net cropped area exposed | unavailable | -- | share of net cropped area | -- | -- | -- | -- |
|
Blocked by: district exposure tables (data/lake/agriculture/bbs_district_land_utilization_intensity_census.parquet)
Reason: cannot measure the RP100 cropland exposure share: data/lake/agriculture/bbs_district_land_utilization_intensity_census.parquet absent under this root
|
|||||||||
| cropland_loss_to_rice_price | net cropped area lost to a RP100 flood | rice retail price | unavailable | -- | pct rice price per pct cropland lost | -- | -- | -- | -- |
|
Blocked by: peer-reviewed or BIDS crop-damage elasticity for Bangladesh rice
Reason: no repo-owned table carries a Bangladesh elasticity from flood-season cropland loss to rice prices, and the spec forbids elasticities from memory
|
|||||||||
| rice_price_to_cpi | rice retail price | consumer price index | unavailable | -- | pct CPI per pct rice price | -- | -- | -- | -- |
|
Blocked by: BBS CPI reweighting or a peer-reviewed Bangladesh rice-CPI pass-through
Reason: no repo-owned table carries a rice-to-CPI pass-through for Bangladesh (a BBS CPI weight alone is not a pass-through), and the spec forbids elasticities from memory
|
|||||||||
| hsd_landed_cost_bdt_per_tonne_fy2022_23 | HSD import bill | HSD landed unit cost | unavailable | -- | BDT per tonne | -- | -- | -- | -- |
|
Blocked by: BPC import panel (data/lake/energy/bpc_historical_import_volumes_and_costs_panel.parquet)
Reason: cannot measure the HSD landed cost: data/lake/energy/bpc_historical_import_volumes_and_costs_panel.parquet absent under this root
|
|||||||||
| fuel_price_to_power_cost | fuel (HSD/furnace oil) landed price | power generation cost | unavailable | -- | pct power cost per pct fuel price | -- | -- | -- | -- |
|
Blocked by: BPC/BERC tariff filing or a peer-reviewed fuel-cost pass-through
Reason: no repo-owned table carries a fuel-to-power-cost pass-through for the Bangladesh grid, and the spec forbids elasticities from memory
|
|||||||||
| power_cost_to_industrial_output | industrial power cost | industrial output | unavailable | -- | pct industrial output per pct power cost | -- | -- | -- | -- |
|
Blocked by: peer-reviewed energy-output elasticity for Bangladesh manufacturing
Reason: no repo-owned table carries an energy-output elasticity for Bangladeshi manufacturing, and the spec forbids elasticities from memory
|
|||||||||
| reserve_drawdown_to_import_compression | foreign exchange reserves | import volume | unavailable | -- | pct imports per pct reserves | -- | -- | -- | -- |
|
Blocked by: IMF Article IV or Bangladesh Bank reserve-import compression study
Reason: no repo-owned table carries a Bangladesh reserve-to-import compression estimate, and the spec forbids elasticities from memory
|
|||||||||
This section derived its own copy of the register on this request and wrote nothing: no coefficient is added, changed or defaulted anywhere.
The JSON twin of this section → the same derived register, served as JSON.
Stage 2 fiscal-execution band
The twin's first simulated-vs-observed error band: the even-spread tick 3 disbursement of FY2025-26 folded against the published iBAS Statement-02 first quarter, per entity and nationally, with 62 of the budgeted entities matched and every scope limit printed below. the twin's even-spread tick 3 against the published iBAS Statement-02 Q1 actual.
789,998.55
allocation crore
197,499.64
simulated crore
104,963.63
observed crore
92,536.01
abs error crore
88.16
abs pct error
1.88
ratio
25.00
simulated share of year pct
13.29
observed share of year pct
| Band statistic | Value |
|---|---|
| tolerance pct | 10.00 |
| matched | 62 |
| unmatched simulated | 0 |
| unmatched observed | 0 |
| zero observed | 0 |
| median abs pct error | 126.26 |
| mean abs pct error | 679.23 |
| max abs pct error | 15,741.50 |
| min abs pct error | 0.19 |
| within tolerance | 3 |
| within 5 pct | 1 |
| within 25 pct | 3 |
| within 50 pct | 11 |
| median abs error crore | 466.12 |
| sum abs error crore | 102,053.41 |
What this band does not claim
- One fiscal year only: 2025-26 is the only iBAS Statement-02 quarter the twin holds.
- One quarter only: the lake carries no published monthly execution series, so ticks 4 to 12 are not scored.
- The simulated side is the twin's even-spread allocation rule, not an execution forecast; this band measures that rule against the published quarter.
- Both sides are published iBAS Statement-02 lines for the same fiscal year, but this band does not establish that the quarterly actual is booked at the same entity level as the annual allocation; the outlier list is evidence to inspect, not a performance claim.
Largest errors (worst 5 of the scored rows)
| Entity | Allocation (crore) | Simulated (crore) | Observed Q1 (crore) | Abs error (crore) | Pct error |
|---|---|---|---|---|---|
| 986 Planning Division | 10,905.67 | 2,726.42 | 17.21 | 2,709.21 | 15,741.50 |
| 27 Ministry of Civil Aviation and Tourism | 2,455.00 | 613.75 | 13.76 | 599.99 | 4,360.78 |
| 48 Energy and Mineral Resources Division | 2,178.00 | 544.50 | 12.49 | 532.01 | 4,260.92 |
| 17 Ministry of Disaster Management and Relief | 10,362.19 | 2,590.55 | 128.05 | 2,462.50 | 1,923.15 |
| 47 Power Division | 20,342.00 | 5,085.50 | 283.61 | 4,801.89 | 1,693.16 |
Closest to the published quarter (best 3 of the scored rows)
| Entity | Allocation (crore) | Simulated (crore) | Observed Q1 (crore) | Abs error (crore) | Pct error |
|---|---|---|---|---|---|
| 35 Ministry of Liberation War Affairs | 7,330.00 | 1,832.50 | 1,835.90 | 3.40 | -0.19 |
| 46 Economic Relations Division | 22,584.00 | 5,646.00 | 6,159.44 | 513.44 | -8.34 |
| 8 Ministry of Agriculture | 27,224.00 | 6,806.00 | 7,495.65 | 689.65 | -9.20 |
Unmatched on the simulated side
None: every simulated entity carrying a non-zero allocation has an observed Q1 row.
Unmatched on the observed side
None: every observed Q1 entity is matched on the simulated side.
Where the band's numbers come from
- budget path: data/lake/govtwin/budget_lines.parquet
- budget rows: 277
- allocations source: ibas_statement02
- actuals source: ibas_statement02_q1
- source url: ['https://ibas.finance.gov.bd/', 'https://nbr.gov.bd/uploads/budget/Budget_Speech_English.pdf']
Prior basis: twin even spread: the annual total over 12 months, ticks 1 to 3. Observed basis: iBAS Statement-02 Q1 actual (q1_actual_operating + q1_actual_development), crore BDT.
This section derived the band on this request and wrote nothing: no arithmetic, coefficient or default was added to the report anywhere.
The JSON twin of this section → the same derived band, served as JSON.