Loading…

Coverage

56,681 of 56,681 columns decided — 100.0% · 12,642 bound (22.3%) · 0 still unread

Bound: 12,642; 22.3%; a concept was found and asserted for the column.
Refused: 32,953; 58.1%; the column was read and no concept fits. A verdict, not a gap.
Insufficient: 11,086; 19.6%; read, but the evidence did not settle it.
Unanalysed: 0; 0.0%; 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, 10:36 PM

Where the unread columns are

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.

Campaign Intermediaries

tcwb-nry3

← What we have understood · Dataset page

Fields catalogued

Understood

Checked, no match

Nobody has looked

Every field decided — Every field carries a verdict — which does not mean every field is understood.

Every field in this dataset

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
amnt AMNT	Number	Understood	quantity.money Monetary amount	dictionary_read_underspecified Total Amount Intermediated for Candidate and Election Cycle	—
apartment APARTMENT	Text	Not enough to tell	—	value_profile	—
candmi CANDMI	Text	Understood	actor.person_name Person name	dictionary_read Candidate's Middle Initial	—
election ELECTION	Number	Checked, no match	—	dictionary_read Election Cycle	—
candid CANDID	Text	Checked, no match	—	dictionary_read Candidate ID, assigned by the CFB	—
c_code C_CODE	Text	Understood	category.classification Publisher classification	dictionary_read Intermediary Type	—
empcity EMPCITY	Text	Checked, no match	—	value_domain_read smallest=Albany largest=YONKERS	—
zip ZIP	Text	Checked, no match	—	value_domain_read	—
officecd OFFICECD	Number	Understood	category.classification Publisher classification	dictionary_read_underspecified Office Sought: [1=Mayor; 2=Public Advocate; 3=Comptroller; 4=Borough President; 5=City Council; 6=Undeclared]	—
name NAME	Text	Checked, no match	—	value_domain_read smallest=1199 SEIU NYS Paf largest=ZWICK, MOSHE	—
candfirst CANDFIRST	Text	Understood	actor.person_name.given Given name	dictionary_read Candidate's First Name	—
empstrname EMPSTRNAME	Text	Checked, no match	—	dictionary_read Intermediary's Employer's Street Name	—
city CITY	Text	Checked, no match	—	value_domain_read smallest=Albany largest=YONKERS	—
committee COMMITTEE	Text	Checked, no match	—	dictionary_read Committee ID, assigned by the CFB	—
state STATE	Text	Checked, no match	—	value_domain_read top[3]={NY×270; NJ×7; DC×2}	—
candlast CANDLAST	Text	Understood	actor.person_name.family Family name	dictionary_read Candidate's Last Name	—
empstate EMPSTATE	Text	Checked, no match	—	value_domain_read top[3]={NY×270; NJ×7; DC×2}	—
empname EMPNAME	Text	Checked, no match	—	value_domain_read top[8 of 20]={Self-Employed×124; Self Employed×93; Self×70; Retired×55	—
empstrno EMPSTRNO	Text	Checked, no match	—	dictionary_read Intermediary's Employer's Street Number	—
strname STRNAME	Text	Not enough to tell	—	value_profile	—
boroughcd BOROUGHCD	Text	Understood	place.borough Borough	dictionary_read Intermediary's Borough Code	borough
canclass CANCLASS	Text	Understood	category.classification Publisher classification	dictionary_read Campaign Finance Program Classification	—
occupation OCCUPATION	Text	Checked, no match	—	dictionary_read Intermediary's Occupation	—
strno STRNO	Text	Not enough to tell	—	value_profile	—