Data·Citizenan agentic layer over NYC Open Data
CatalogExploreAnalyticsMapAsk the agentFindingsGuideStatus
Data from NYC Open Data via the Socrata Discovery API. Quality scores are computed from a sample and are indicative, not authoritative.
← Catalog

NYCDCP_Manhattan_Bike_Counts

3we2-bw9sTransportation6 columns
The Transportation Division of the New York City Department of City Planning (NYCDCP) has performed annual bike counts in Manhattan since 1999. The counts have been conducted along designated bicycle routes at 10 on-street and 5 off-street locations during the fall season. These locations have remained generally consistent. The data collected includes cyclist/user volumes, helmet usage, use of bike lane, gender, etc. The bike counts data can offer insights into the overall trends in user demographics and travel patterns over time. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
View on NYC Open Data↗

Quality

C79.6 / 100

From a 15-row sample across 6 columns.

completeness100/ 25% weight
consistency75/ 20% weight
accuracy100/ 20% weight
timeliness11/ 15% weight
usability90/ 20% weight
  • · No obvious temporal column — limits time-series joins
  • · Has coordinates — directly mappable, and joinable to other NYC datasets

Related datasets

  • NYCDCP Manhattan Bike Counts - Off Street0.54
  • NYCDCP Manhattan Bike Counts - On Street Weekday0.51
  • Bicycle Counters (Historical)0.35
    joins onlongitudelatitudename
  • VZV Bike Priority Areas0.34
    joins onthe_geom
  • VZV Street Improvement Projects (SIP) Corridor0.30
    joins onthe_geom
  • Bicycle Parking Shelters0.30

Geography

Mappable — Socrata point column `the_geom`.

Open on the map →

Sample rows

typelocation_idthe_geomnamelatitudelongitude
On-Street140.72796, -73.98813Second Avenue at E7 St.40.727963-73.988133
On-Street240.72983, -73.99142Lafayette Street at Astor Pl.40.72983-73.991424
On-Street340.73602, -73.99363Fifth Avenue at 14 St.40.736015-73.993635

Columns

6 queryable · 6 profiled

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

FieldTypeDescriptionNullValues
typecategorical—0%On-StreetOff-Streetof 2
location_idcategorical—0%148of 15
the_geomcoordinate—0%{'coordinates': [-73.942…{'coordinates': [-73.992…{'coordinates': [-73.974…of 15
namecategorical—0%First Avenue at E85 St.Eighth Avenue at W28 St.

Query this from your own app

GET /api/datasets/3we2-bw9s
GET /api/datasets/3we2-bw9s/quality
GET /api/datasets/3we2-bw9s/related
GET /api/columns?dataset=3we2-bw9s
joins on
the_geom
  • VZV Hands-On Safety Demos0.28
    joins onthe_geom
  • Uptown Bicycle Counts0.28
  • On-Street440.74290, -73.99281Sixth Avenue at W23 St.40.742897-73.992805
    On-Street540.74529, -73.98877Broadway at W28 St.40.745293-73.988767
    On-Street640.74844, -73.99621Eighth Avenue at W28 St.40.748435-73.996206
    On-Street740.77619, -73.94985First Avenue at E85 St.40.77619-73.949855
    On-Street840.78975, -73.96612Central Park West at W93 St.40.789748-73.966117
    On-Street940.80127, -73.95386Adam Clayton at W113th St. (NB+SB)40.801269-73.953865
    On-Street1040.84537, -73.94054Fort Washington at W173 St. (NB +SB)40.845373-73.940536
    East River at E Houston …
    of 15
    latitudecategorical—0%40.81876940.7761940.786529of 15
    longitudecategorical—0%-73.953865-73.949855-73.988767of 15