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56,681 columns in the coverage ledger · read from /api/field-coverage on citytap-prod · source last observed Oct 11, 2026, 1:31 AM
3,026 datasets, 56,681 catalogued fields, 0 of them still unread. Every band below is a share of that, worst first. Open one to see its datasets.
mhyv-6iza
← What we have understood · Dataset page
Every field decided — Every field carries a verdict — which does not mean every field is understood.
Covered and uncovered alike, in the order the publisher lists them. A field with no verdict is one nobody has looked at yet.
| Field | Type | What we know | Meaning | How it was decided | Shared term |
|---|---|---|---|---|---|
| council_district Council District | Number | Understood | place.council_district City Council District | value_domain_read | council_district |
| amount Amount | Number | Understood | quantity.money Monetary amount | dictionary_readAmount of the expenditure | — |
| purpose_of_expenditure Purpose of Expenditure | Text | Checked, no match | — | value_domain_readtop[8 of 20]={ACH fee×20; Legal services×16; Forensic data collection×16; Legal fees×15; Merchant account fee×15; Credit card processing fees×12; Vetting and investigative services×12; Clover app fee×11} | — |
| trust_name Trust Name | Text | Understood | actor.organization Organization | dictionary_readThe name of the legal defense trust making the expenditure | — |
| payee_name Payee Name | Text | Understood | actor.organization Organization | dictionary_readName of entity to receive payment for expenses | — |
| expenditure_name Expenditure Name | Text | Checked, no match | — | dictionary_readUnique identifying number for the expenditure | — |
| payee_address Payee Address | Text | Checked, no match | — | value_domain_readlargest=P.O. Box 1672, New York, NY | — |
| attested_by Attested By | Text | Understood | actor.person_name Person name | dictionary_readPerson from the legal defense trust reporting the information about the expenditure | — |
| latitude Latitude | Number | Understood | geometry.latitude Latitude | dictionary_read_underspecifiedLatitude of the site's location | — |
| community_board Community Board | Number | Understood | place.community_district Community District / Board | value_domain_read | community_district |
| borough Borough | Text | Understood | place.borough Borough | value_domain_read | borough |
| ct2020 Census Tract (2020) | Number | Understood | place.census_tract Census Tract | dictionary_readCensus Tract (Census 2020) is a small, relatively permanent statistical subdivisions of a county uniquely numbered in each county with a numeric code | census_tract |
| state State | Text | Checked, no match | — | value_domain_readtop[7]={New York - NY×104; Illinois - IL×18; Wisconsin - WI×12; Connecticut - CT×12; Florida - FL×12; California - CA×7; Texas - TX×1} | — |
| postcode Zip Code | Text | Checked, no match | — | value_domain_read | — |
| nta2020 Neighborhood Tabulation Area (NTA) (2020) | Text | Understood | place.nta Neighborhood Tabulation Area | dictionary_readThe Neighborhood Tabulation Area (Census 2020) | — |
| city City | Text | Checked, no match | — | value_domain_readtop[8 of 15]={New York×43; Brooklyn×42; Chicago×18; Woodbury×15; Madison×12; Milwaukee×12; Bradenton×11; Los Angeles×6} | — |
| bbl BBL | Number | Understood | place.bbl Borough-Block-Lot | value_domain_read | bbl |
| bin BIN | Number | Understood | place.bin Building Identification Number | operator_cohort matched by name, unread | bin |
| longitude Longitude | Number | Understood | geometry.longitude Longitude | dictionary_read_underspecifiedLongitude of the site's location | — |
| date_of_incurrence Date of Incurrence | Calendar date | Understood | time.period.month Month | value_profileDate the expenses were incurred | — |