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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 12, 2026, 2:28 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.

2013 Green Taxi Trip Data

ghpb-fpea

← 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
lpep_pickup_datetime pickup_datetime	Calendar date	Not enough to tell	—	value_profile	—
mta_tax MTA_tax	Number	Not enough to tell	—	value_domain_read	—
tolls_amount Tolls_amount	Number	Understood	quantity.money Monetary amount	value_domain_read top[8 of 20]={6×57774; 6.5×57217; 5.5×56351; 7×54811; 5×51778; 7.5×50856; 8×48470; 8.5×43284}	—
pickup_longitude Pickup_longitude	Number	Understood	geometry.longitude Longitude	value_domain_read top[8 of 20]={0×3636; -73.844268798828125×1902; -73.844276428222656×1832; -73.844253540039062×1759; -73.844291687011719×1589; -73.84423828125×1544; -73.84429931640625×1482; -73.844284057617188×1446}	—
tip_amount Tip_amount	Number	Understood	quantity.money Monetary amount	value_domain_read top[8 of 20]={6×57774; 6.5×57217; 5.5×56351; 7×54811; 5×51778; 7.5×50856; 8×48470; 8.5×43284}	—
fare_amount Fare_amount	Number	Understood	quantity.money Monetary amount	value_domain_read top[8 of 20]={6×57774; 6.5×57217; 5.5×56351; 7×54811; 5×51778; 7.5×50856; 8×48470; 8.5×43284}	—
trip_distance Trip_distance	Number	Checked, no match	—	value_domain_read top[8 of 20]={0.00×64475; 0.90×12136; 1.00×11865; 1.20×11427; 0.80×11388; 1.10×11338; 1.30×10952; 1.40×10773}	—
dropoff_latitude Dropoff_latitude	Number	Understood	geometry.latitude Latitude	value_domain_read smallest=0 largest=42.773967742919922	—
lpep_dropoff_datetime dropoff_datetime	Calendar date	Not enough to tell	—	value_profile	—
payment_type Payment_type	Number	Not enough to tell	—	value_domain_read	—
extra Extra	Number	Understood	quantity.money Monetary amount	value_domain_read top[8 of 20]={6×57774; 6.5×57217; 5.5×56351; 7×54811; 5×51778; 7.5×50856; 8×48470; 8.5×43284}	—
trip_type Trip_type	Number	Not enough to tell	—	value_domain_read	—
total_amount Total_amount	Number	Not enough to tell	—	value_domain_read	—
vendorid vendor_id	Text	Checked, no match	—	value_domain_read top[2]={2×956145; 1×254666}	—
ehail_fee Ehail_fee	Number	Not enough to tell	—	value_domain_read	—
ratecodeid rate_code	Number	Not enough to tell	—	value_domain_read	—
store_and_fwd_flag Store_and_fwd_flag	Text	Checked, no match	—	value_domain_read top[4]={false×2688; true×1207; FALSE×18; TRUE×1}	—
dropoff_longitude Dropoff_longitude	Number	Understood	geometry.longitude Longitude	value_domain_read top[8 of 20]={0×3636; -73.844268798828125×1902; -73.844276428222656×1832; -73.844253540039062×1759; -73.844291687011719×1589; -73.84423828125×1544; -73.84429931640625×1482; -73.844284057617188×1446}	—
pickup_latitude Pickup_latitude	Number	Understood	geometry.latitude Latitude	value_domain_read top[8 of 20]={0×4008; 40.758075714111328×207; 40.758186340332031×160; 40.758163452148438×158; 40.805023193359375×151; 40.7581787109375×149; 40.8050537109375×146; 40.805038452148438×144}	—
passenger_count Passenger_count	Number	Not enough to tell	—	value_profile	—