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56,681 columns in the coverage ledger · read from /api/field-coverage on citytap-prod · source last observed Oct 10, 2026, 5:49 PM
3,026 datasets, 56,681 catalogued fields, 9,808 of them still unread. Every band below is a share of that, worst first. Open one to see its datasets.
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← What we have understood · Dataset page
Most read — At least three quarters of their fields carry a verdict.
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 |
|---|---|---|---|---|---|
| msid_no MSID_NO | Number | Checked, no match | — | dictionary_readUnique internal identifier | — |
| zoned_dist ZONED_DIST | Text | Not enough to tell | — | value_profile | — |
| shape_area Shape_Area | Number | Checked, no match | — | value_domain_readsmallest=205899.082669 largest=295935022.048 | — |
| the_geom | MultiPolygon | Understood | geometry.area Areal geometry | dictionary_readGeospatial column used for mapping | — |
| dbn DBN | Text | Understood | identifier.school_dbn School DBN | value_profileDistrict Borough Number | — |
| remarks REMARKS | Text | Understood | text.free_text Free text note | value_domain_readcard=78 nonnull=103 null=176 smallest=airport largest=Zoned to IS 96, located in D | — |
| label Label | Text | Checked, no match | — | value_domain_readcard=169 nonnull=262 null=17 smallest=10 largest=D9 | — |
| schooldist SCHOOLDIST | Number | Nobody has looked | — | — | — |
| boro_text Boro_Text | Text | Understood | place.borough Borough | dictionary_readLetter code for the NYC borough | — |
| edit_date EDIT_DATE | Calendar date | Checked, no match | — | dictionary_readDate the zone was | — |
| boro BORO | Text | Understood | place.borough Borough | value_domain_read | borough |
| shape_leng Shape_Leng | Number | Checked, no match | — | value_domain_readsmallest=205899.082669 largest=295935022.048 | — |
| creat_date CREAT_DATE | Calendar date | Checked, no match | — | dictionary_readDate the zone was | — |
| initials INITIALS | Text | Understood | actor.person_name Person name | dictionary_read_underspecifiedInitials of the person creating the zone | — |