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Data from NYC Open Data via the Socrata Discovery API. Quality scores are computed from a sample and are indicative, not authoritative.
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Bicycle Counts (Historical)

uczf-rk3cTransportation5 columns
As of January 28, 2026, this dataset has been replaced by Bicycle and Pedestrian Counts dataset: https://data.cityofnewyork.us/Transportation/Bicycle-and-Pedestrian-Counts/ct66-47at/about_data Bicycle counts conducted around New York City at key locations. For the counter locations, please refer to the Bicycle Counters dataset .
View on NYC Open Data↗

Quality

B85.2 / 100

From a 500-row sample across 5 columns.

completeness100/ 25% weight
consistency50/ 20% weight
accuracy94/ 20% weight
timeliness83/ 15% weight
usability95/ 20% weight

Related datasets

  • Bicycle Counters (Historical)0.59
    joins onid
  • Bicycle and Pedestrian Counts0.42
    joins onstatuscounts
  • Bicycle and Pedestrian Count Sensors0.37
    joins onid
  • Staten Island Ferry Ridership Counts0.30
    joins ondate
  • Brooklyn Bridge Automated Pedestrian Counts Demonstration Project (Historic)0.29
  • Taxi Improvement Fund (TIF) Medallion Payments0.29

Sample rows

countididdatecountsstatus
198318961000094252023-06-03T00:00:00.000270
198318971000094252023-06-03T00:15:00.00090
198318981000094252023-06-03T00:30:00.000140
198318991000094252023-06-03T00:45:00.000100

Columns

5 queryable · 5 profiled

The machine field names SoQL needs, with the publisher's own description of each.

FieldTypeDescriptionNullValues
countidinteger—0%100893591008936010089361
idinteger—0%100062893100047029100009426
datedatetime—0%2025-07-30T01:15:00.0002025-08-31T19:00:00.0002025-08-03T15:30:00.000
countsinteger—0%012
statuscategorical

Query this from your own app

GET /api/datasets/uczf-rk3c
GET /api/datasets/uczf-rk3c/quality
GET /api/datasets/uczf-rk3c/related
GET /api/columns?dataset=uczf-rk3c
  • Street Resurfacing Schedule0.29
    joins ondate
  • Traffic Volume Counts (Historical)0.29
    joins oniddate
  • 198319001000094252023-06-03T01:00:00.00050
    198319011000094252023-06-03T01:15:00.00080
    198319021000094252023-06-03T01:30:00.00060
    198319031000094252023-06-03T01:45:00.00050
    198319041000094252023-06-03T02:00:00.00060
    198319051000094252023-06-03T02:15:00.00050
    —
    0%
    04of 2