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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](https://www.outerview.ai)**.
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](https://www.outerview.ai/atlas).
## At a glance
| | |
| --- | --- |
| Records | 30,000 |
| Period | Current OpenStreetMap snapshot |
| Geometry | Point, WGS 84 (EPSG:4326) |
| Formats | Parquet, GeoJSON, CSV |
| Publisher | [Outerview](https://www.outerview.ai) |
## Quick start
```python
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])
```
```python
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.
<!-- outerview-tools:start -->
## Build with Outerview
- [Geographic Feature List](https://www.outerview.ai/atlas) — browse geographic features available through Outerview
- [Outerview](https://www.outerview.ai/) — programmable infrastructure for Earth
- [Developer Documentation](https://www.outerview.ai/docs) — APIs, tools, guides, and examples
- [SDK](https://www.outerview.ai/docs/sdk) — build geographic capabilities directly into applications
- [CLI](https://www.outerview.ai/docs/cli) — work with geographic search and spatial data from the terminal
- [MCP](https://www.outerview.ai/docs/mcp) — connect geographic search and spatial tools to AI agents
<!-- outerview-tools:end -->
## 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
- [Parquet](https://huggingface.co/datasets/Outerview/stop-position/resolve/main/data.parquet)
- [GeoJSON](https://huggingface.co/datasets/Outerview/stop-position/resolve/main/data.geojson)
- [CSV](https://huggingface.co/datasets/Outerview/stop-position/resolve/main/data.csv)
## 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
- [OpenStreetMap contributors](https://www.openstreetmap.org/copyright) (ODbL 1.0)
- Prepared and distributed by [Outerview](https://www.outerview.ai)
## License
Contains information from OpenStreetMap, made available under the [Open Database License (ODbL) 1.0](https://opendatacommons.org/licenses/odbl/1-0/). Attribute **OpenStreetMap contributors** and keep derived databases under ODbL.
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