Loading…

Coverage

46,873 of 56,681 columns decided — 82.7% · 9,148 bound (16.1%) · 9,808 still unread

Bound: 9,148; 16.1%; a concept was found and asserted for the column.
Refused: 29,070; 51.3%; the column was read and no concept fits. A verdict, not a gap.
Insufficient: 8,655; 15.3%; read, but the evidence did not settle it.
Unanalysed: 9,808; 17.3%; nobody has read this column yet.

56,681 columns in the coverage ledger · read from /api/field-coverage on citytap-prod · source last observed Oct 10, 2026, 7:21 PM

Where the unread columns are

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.

Gaps in the data behind this page

9,808 of the 56,681 columns in the coverage ledger have never been analysed.
603 of the 3,026 datasets in the catalog list no columns at all.

Source last observed Oct 10, 2026, 7:21 PM.

Where each note comes from

9,808 of the 56,681 columns in the coverage ledger have never been analysed.
9,808 / 56,681
Source: /api/field-coverage
Check it yourself: /api/field-coverage#/coverage/unanalysed
603 of the 3,026 datasets in the catalog list no columns at all.
603 / 3,026
Source: /api/field-coverage
Check it yourself: /api/field-coverage#/catalog/datasets_no_inventory

These pages state their own gaps: /datasets, /freshness, /scorecard, /scorecard/fields, /analyses, /ontology, /graph, /alerts, any topic page under /domains.

What we have understood

Freshness above is about the data being current. This is about the data being understood: how many of the catalogue's fields carry a meaning we can act on, which datasets are still waiting, and how far the joinable web reaches.

← Citywide scorecard

Datasets by how much of them we have read

Datasets with the most fields left to read

Showing 1–50 of 1,117
Dataset	Fields	Decided	Understood	Nobody looked	Shared terms
Citywide Mobility Survey - Main Survey 2017 dd6w-hnq9	454	382 84%	5	72	1	See every field
2017 DOE High School Directory s3k6-pzi2	462	412 89%	29	50	5	See every field
2018 DOE High School Directory vw9i-7mzq	462	412 89%	21	50	5	See every field
2020 DOE Middle School Directory fdpt-nzk4	464	425 92%	10	39	6	See every field
Energy and Water Data Disclosure for Local Law 84 2018 (Data for Calendar Year 2017) 4t62-jm4m	256	219 86%	6	37	2	See every field
Citywide Mobility Survey - October 2020 3mpc-kqwk	212	177 83%	0	35	0	See every field
New York City Work and Family Leave Survey (WFLS) 2014 grnn-mvqe	153	120 78%	16	33	0	See every field
2018 DOE Middle School Directory 6kcb-9g8d	251	220 88%	9	31	4	See every field
Energy and Water Data Disclosure for Local Law 84 2015 (Data for Calendar Year 2014) nbun-wekj	259	231 89%	6	28	2	See every field
2020 DOE High School Directory 23z9-6uk9	420	393 94%	40	27	6	See every field
Energy and Water Data Disclosure for Local Law 84 2017 (Data for Calendar Year 2016) utpj-74fz	262	235 90%	9	27	2	See every field
NYC Building Energy and Water Data Disclosure for Local Law 84 2023 to Present (Data for Calendar Year 2022-Present) 5zyy-y8am	265	239 90%	67	26	4	See every field
2021 DOE High School Directory 8b6c-7uty	448	423 94%	43	25	6	See every field
Energy and Water Data Disclosure for Local Law 84 2016 (Data for Calendar Year 2015) 77q4-nkfh	256	233 91%	8	23	2	See every field
Voter Analysis 2008-2018 psx2-aqx3	175	152 87%	44	23	3	See every field
Citywide Mobility Survey - Main Survey 2018 jpcp-ic7c	331	309 93%	16	22	3	See every field
Energy and Water Data Disclosure for Local Law 84 2012 (Data for Calendar Year 2011) k7nh-aufb	210	189 90%	7	21	2	See every field
Property Valuation and Assessment Data Tax Classes 1,2,3,4 8y4t-faws	139	119 86%	7	20	1	See every field
DOB NOW: Build Elevator Permit Applications kfp4-dz4h	82	62 76%	34	20	2	See every field
DOB NOW: Build Elevator Device Details juyv-2jek	167	151 90%	34	16	0	See every field
Lot Cleaning Dispositions (No Longer Maintained) r4c5-ndkx	124	108 87%	8	16	1	See every field
Citywide Mobility Survey - Trip Diary 2018 kcey-vehy	118	102 86%	18	16	0	See every field
Property Exemption Detail muvi-b6kx	70	54 77%	4	16	1	See every field
Energy and Water Data Disclosure for Local Law 84 2022 (Data for Calendar Year 2021) 7x5e-2fxh	249	234 94%	70	15	2	See every field
Primary Land Use Tax Lot Output (PLUTO) 64uk-42ks	108	93 86%	31	15	5	See every field
2021 Arts Data Report 9h53-fsqa	275	261 95%	8	14	0	See every field
Energy and Water Data Disclosure for Local Law 84 2013 (Data for Calendar Year 2012) r6ub-zhff	201	187 93%	7	14	3	See every field
DOB Job Application Filings ic3t-wcy2	95	81 85%	18	14	2	See every field
NYCgov Poverty Measure Data (2016) tpt8-yikk	61	47 77%	1	14	1	See every field
NYCgov Poverty Measure Data (2013) yhck-bxbs	61	48 79%	1	13	1	See every field
Vision Zero Base Report ph7v-u5f3	55	42 76%	6	13	2	See every field
2019 DOE Middle School Directory uqxv-h2se	251	239 95%	10	12	6	See every field
DOE High School Directory 2013-2014 u553-m549	82	70 85%	12	12	7	See every field
SBS Certified Business List ci93-uc8s	56	44 79%	16	12	4	See every field
Citywide Mobility Survey - Household Survey 2019 a5rk-jemi	52	40 77%	1	12	0	See every field
NewYorkCity_StreetTreeCensus_2005 urik-ndeg	49	37 76%	3	12	2	See every field
Energy and Water Data Disclosure for Local Law 84 2014 (Data for Calendar Year 2013) yr5p-wjer	255	244 96%	10	11	2	See every field
Energy and Water Data Disclosure for Local Law 84 2011 (Data for Calendar Year 2010) kswi-37bp	164	153 93%	7	11	3	See every field
DOF Property Abatement Detail rgyu-ii48	101	90 89%	1	11	0	See every field
DOB NOW: Build – Job Application Filings w9ak-ipjd	95	84 88%	12	11	2	See every field
Over Dimensional Vehicle Permits (ODVP) as69-ew8f	61	50 82%	0	11	0	See every field
DOB Permit Issuance ipu4-2q9a	60	49 82%	18	11	2	See every field
Parks Concessions 53m8-jdtg	59	48 81%	4	11	0	See every field
Doing Business Contributions Summary fbkk-n4e3	52	41 79%	4	11	0	See every field
Off-Year and Special Elections Contribution kgzj-pjna	52	41 79%	7	11	0	See every field
2018 - 2019 School Locations 9ck8-hj3u	46	35 76%	5	11	1	See every field
DOF: Cooperative Comparable Rental Income – Bronx – FY 2009/2010 3miu-myq2	45	34 76%	7	11	4	See every field
2019-2020 Arts Survey Data njjd-3gve	442	432 98%	1	10	0	See every field
2019 Volunteers Count Report - Neighborhoods 72r6-mtgs	218	208 95%	5	10	4	See every field
Asset Management Parks System (AMPS) - Work Orders 8sdw-8vja	55	45 82%	10	10	0	See every field

The web of datasets and fields

A line means a dataset carries a field tagged with a shared vocabulary term. Two datasets on the same term speak the same language about it, which is what makes a cross-dataset question possible. Sharing a term is not the same as a working join — the dataset page says whether a specific pair compiles.

Bipartite. A dimension node is a conformed-dimension family; a dataset node is a catalog dataset; an edge means that dataset carries at least one column tagged with that dimension, and names the columns that carry it.

No field list yet: We hold no columns for these at all.
Nothing read yet: We hold their columns and have decided none of them.
Under half read: Fewer than half their fields carry a verdict.
Half read: At least half their fields carry a verdict.
Most read: At least three quarters of their fields carry a verdict.
Every field decided: Every field carries a verdict — which does not mean every field is understood.

How many of an edge's tagging columns carry a method that actually read something. Zero means the edge rests entirely on carried lexical tags.

Two datasets on the same dimension node share a vocabulary, which is weaker than a join. GET /api/datasets/{fourFour}/bindings/{partner} decides whether a specific pair compiles; executing it additionally needs both marts present.