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Datasets:
Outerview
/
stop-position

Tasks:
Tabular Classification
Other
Modalities:
Geospatial
Tabular
Languages:
English
Size:
10K<n<100K
Tags:
geospatial
open-data
tabular
parquet
geojson
csv
License:
Dataset card Files
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stop-position / README.md
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Publish Transit Stop Positions (OSM) (v1)
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metadata 
pretty_name: Transit Stop Positions (OSM) - 30,000-record Geospatial Sample
license: odbl
size_categories:
  - 10K<n<100K
task_categories:
  - tabular-classification
  - other
language:
  - en
tags:
  - geospatial
  - open-data
  - tabular
  - parquet
  - geojson
  - csv
  - public-transport
  - transit
  - stops
  - openstreetmap
  - mobility
  - accessibility

Transit Stop Positions (OSM) - 30,000-record Geospatial Sample

A free, ready-to-use sample of 30,000 geolocated public transport stop positions (current openstreetmap snapshot), published by Outerview.

Public-transport stop positions (where vehicles actually halt) mapped by OpenStreetMap contributors, with coordinates and the original OSM tags preserved.

This is a 30,000-record sample of a much larger collection (about 1,549,000 source records). Need the full dataset, other places or years, or live search? See the Outerview atlas.

At a glance

Records 30,000
Period Current OpenStreetMap snapshot
Geometry Point, WGS 84 (EPSG:4326)
Formats Parquet, GeoJSON, CSV
Publisher Outerview

Quick start 

from datasets import load_dataset

ds = load_dataset("parquet", data_files="hf://datasets/Outerview/stop-position/data.parquet", split="train")
print(ds)
print(ds[0])

import pandas as pd
import json

df = pd.read_parquet("hf://datasets/Outerview/stop-position/data.parquet")
df["properties"] = df["properties"].apply(json.loads)
df[["latitude", "longitude"]].describe()

Search millions more geographic features

Outerview provides developers and AI systems access to millions of geographic features and geolocated imagery spanning infrastructure, places, roads, buildings, nature and community issues.

Build with Outerview

  • Geographic Feature List — browse geographic features available through Outerview
  • Outerview — programmable infrastructure for Earth
  • Developer Documentation — APIs, tools, guides, and examples
  • SDK — build geographic capabilities directly into applications
  • CLI — work with geographic search and spatial data from the terminal
  • MCP — connect geographic search and spatial tools to AI agents

Use cases

  • Transit accessibility and coverage analysis
  • Building multimodal routing and journey-planning features
  • Walkability and 15-minute-city studies
  • Joining with schedules (GTFS) and demographics

Schema

Column Type Description
id string Stable identifier for the record in the source table.
sample boolean Reserved flag for optional image samples; false for source-table exports.
latitude float64 Latitude in decimal degrees (WGS 84).
longitude float64 Longitude in decimal degrees (WGS 84).
geometry_wkb binary Record geometry encoded as Well-Known Binary for spatial workflows.
media_url string URL of associated imagery when available; usually empty for this dataset.
attribution string Attribution text for the contributing source.
source string Source or provider label.
properties string JSON-encoded object with the source-specific fields (see Properties).

Properties

The properties column is a JSON string holding the original source attributes. The most common keys in this sample:

Key Example value
osm_id 215620219
tag_name amenity
label_name bank
public_transport stop_position
name Monticello Ave & Kidsburg Park
bus yes
operator Williamsburg Area Transit Authority
network Sonoma County Transit
bicycle yes
highway bus_stop
wheelchair yes
railway tram_stop

Keys vary by record and source; not every field is populated for every row.

Files

Methodology

Records are exported directly from the Outerview geographic index, ordered by identifier and capped at 30,000 rows. Coordinates are WGS 84. Source fields are preserved in properties without reinterpretation. Inclusion means a record appeared in the contributing public dataset; it was not independently verified.

Sources and attribution

License

Contains information from OpenStreetMap, made available under the Open Database License (ODbL) 1.0. Attribute OpenStreetMap contributors and keep derived databases under ODbL.