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56,681 columns in the coverage ledger · read from /api/field-coverage on citytap-prod · source last observed Oct 12, 2026, 9:21 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.
d6zx-ckhd
← 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 |
|---|---|---|---|---|---|
| objectid OBJECTID | Number | Checked, no match | — | value_domain_readtop[8 of 20]={3765424×1; 4237435×1; 4705403×1; 3361802×1} | — |
| radio_code RADIO_CODE | Text | Understood | category.classification Publisher classification | value_domain_readtop[8 of 20]={75D×7705351; 68Q1×4143434; 75S×3514925; 75M×2291519; 10H1×2031887} | — |
| disp_ts DISP_TS | Calendar date | Not enough to tell | — | value_profile | — |
| :@computed_region_efsh_h5xi Zip Codes | Number portal artifact | Checked, no match | — | portal_artifact matched by name, unread automatically created in order to record in what polygon from the dataset 'Zip Codes' (efsh-h5xi) the point in column 'location' is located | — |
| location Location | Point | Understood | geometry.point Point geometry | value_domain_read{'type': 'Point', 'coordinates': [-73.…(clipped)× | — |
| longitude Longitude | Number | Understood | geometry.longitude Longitude | value_domain_readmv4k smallest=-74.25025854 largest=-73.70059684; d6zx smallest=-74.254743189 largest=-73.700291 | — |
| latitude Latitude | Number | Understood | geometry.latitude Latitude | value_domain_readmv4k smallest=40.50483126 largest=40.91020131; d6zx smallest=40.498238355000069 largest=40.914065234000077 | — |
| closng_ts CLOSNG_TS | Calendar date | Not enough to tell | — | value_profile | — |
| arrivd_ts ARRIVD_TS | Calendar date | Not enough to tell | — | value_profile | — |
| cip_jobs CIP_JOBS | Text | Understood | category.classification Publisher classification | value_domain_readtop[8 of 10]={CAR/SUV×4928593; MCL×308000; TRUCK/BUS×191856; BIKE×159852; ZZZ×20771; MOPED×16829; EBIKE×14039; ESCOOTER×3034} | — |
| typ_desc TYP_DESC | Text | Understood | category.classification Publisher classification | value_domain_readtop[8 of 10]={CAR/SUV×4928593; MCL×308000; TRUCK/BUS×191856; BIKE×159852; ZZZ×20771; MOPED×16829; EBIKE×14039; ESCOOTER×3034} | — |
| incident_time INCIDENT_TIME | Text | Not enough to tell | — | value_profile | — |
| incident_date INCIDENT_DATE | Calendar date | Not enough to tell | — | value_profile | — |
| create_date CREATE_DATE | Calendar date | Not enough to tell | — | value_profile | — |
| cad_evnt_id CAD_EVNT_ID | Number | Checked, no match | — | value_domain_readtop[8 of 20]={3765424×1; 4237435×1; 4705403×1; 3361802×1} | — |
| add_ts ADD_TS | Calendar date | Not enough to tell | — | value_profile | — |
| :@computed_region_92fq_4b7q City Council Districts | Number portal artifact | Checked, no match | — | portal_artifact matched by name, unread record in what polygon from the dataset 'City Council Districts' (92fq-4b7q) the point in column 'location' is located | — |
| :@computed_region_sbqj_enih Police Precincts | Number portal artifact | Checked, no match | — | portal_artifact matched by name, unread automatically created in order to record in what polygon from the dataset 'Police Precincts' (sbqj-enih) the point in column 'location' is located | — |
| :@computed_region_yeji_bk3q Borough Boundaries | Number portal artifact | Checked, no match | — | portal_artifact matched by name, unread automatically created in order to record in what polygon from the dataset 'Borough Boundaries' (yeji-bk3q) the point in column 'location' is located | — |
| :@computed_region_f5dn_yrer Community Districts | Number portal artifact | Checked, no match | — | portal_artifact matched by name, unread record in what polygon from the dataset 'Community Districts' (f5dn-yrer) the point in column 'location' is located | — |
| boro_nm BORO_NM | Text | Understood | place.borough Borough | value_domain_readtop[6]={BROOKLYN×16416186; MANHATTAN×14854695; BRONX×10779432; QUEENS×10571435; STATEN ISLAND×2270394; (null)×784} | — |
| nypd_pct_cd NYPD_PCT_CD | Number | Understood | place.precinct NYPD Precinct | value_domain_readtop[8 of 20]={75×299972; 40×270594; 44×246318; 43×240541; 46×231823; 114×227391; 14×225595; 19×222424} | — |
| patrl_boro_nm PATRL_BORO_NM | Text | Checked, no match | — | value_domain_readtop[8 of 9]={PATROL BORO BRONX×10779432; PATROL BORO BKLYN SOUTH×8344900; PATROL BORO BKLYN NORTH×8071286} | — |
| geo_cd_x GEO_CD_X | Number | Understood | geometry.projected_coordinate.easting Easting | value_domain_readsmallest=913411 largest=1067305 top[8 of 20]={987472×324775; 1001797×131876; 986455×131595} | — |
| geo_cd_y GEO_CD_Y | Number | Understood | geometry.projected_coordinate.northing Northing | value_domain_readsmallest=120893 largest=272307 top[8 of 20]={214939×324916; 232216×133928; 213102×130765} | — |