---
tags:
- geospatial
- open-data
- tabular
- public-safety
- fire-response
- municipal-infrastructure
- emergency-services
- mapping
- parquet
- geojson
- csv
- openstreetmap
- year-2025
libraries:
- datasets
size_categories:
- 1M<n<10M
license: odbl
pretty_name: "Emergency Fire Hydrant Dataset - Global Fire Safety Infrastructure Data - EmbedEarth"
---

# Emergency Fire Hydrant Dataset - Global Fire Safety Infrastructure Data - EmbedEarth

This dataset maps emergency fire hydrant features from OpenStreetMap. A fire hydrant is a mapped connection to a water supply that can support firefighting operations. The records provide a geographic starting point for infrastructure analysis, emergency-service mapping, and data-quality work.

This release contains geolocated records from 2025 and is provided as a sample of a much larger dataset of mapped features.

Prepared and distributed by **[EmbedEarth](https://embed.earth)** from **[OpenStreetMap contributors](https://www.openstreetmap.org/copyright)**.

## Search millions more geographic features

This Hugging Face release is one downloadable dataset from the broader **[EmbedEarth](https://embed.earth)** geographic index. EmbedEarth provides developers and AI systems with tools for searching and working with geographic features, places, infrastructure, and other observations of the physical world.

### Build with EmbedEarth

* **[EmbedEarth](https://embed.earth)** — programmable infrastructure for Earth
* **[Geographic Feature List](https://www.embed.earth/catalog/features)** — browse geographic features available through EmbedEarth
* **[Developer Documentation](https://www.embed.earth/docs)** — APIs, SDKs, tools, guides, and examples
* **[Geographic Search SDK](https://www.embed.earth/docs/sdk/search)** — search geographic features and regions programmatically
* **API** — integrate geographic search and spatial data into applications
* **SDK** — build geographic capabilities directly into applications
* **CLI** — work with geographic data from the terminal
* **MCP** — connect geographic search and spatial tools to AI agents

## Search the physical world

The same geographic infrastructure used to create this dataset can support searches such as:

```text
fire hydrants near schools in Boston
hydrant coverage around downtown Toronto
emergency infrastructure in Los Angeles
fire hydrants near industrial areas in Houston
```

## Dataset overview

This dataset focuses on **emergency fire hydrants** represented in OpenStreetMap. Each record is a geolocated map feature with source attribution and, where available, additional tags such as names, addresses, references, operators, websites, access details, and feature-specific values.

Mapped emergency fire hydrants and related water-access points used by fire services, where those features are recorded in openstreetmap.

## Use cases

### Public-safety mapping

Map fire-hydrant coverage alongside roads, buildings, fire stations, and other emergency infrastructure.
### Emergency-response analysis

Explore proximity, access, and network relationships relevant to response planning.
### Municipal asset research

Compare mapped hydrant attributes and coverage across neighborhoods or service areas.
### Infrastructure risk analysis

Combine hydrant locations with buildings, parcels, hazards, and population data.
### OpenStreetMap quality checks

Review completeness and consistency of fire-hydrant tags and supporting attributes.

## Schema

The downloadable Parquet and CSV files use a normalized schema. Source-specific attributes are preserved inside the JSON-encoded `properties` field rather than expanded into separate top-level columns. GeoJSON exposes the same record attributes alongside its geometry.

| Column | Type | Description |
| --- | --- | --- |
| `id` | string | Stable identifier for the exported record. |
| `sample` | boolean | Whether this record was selected for the optional image archive sample. |
| `latitude` | float64 | Latitude in decimal degrees using WGS 84 when a valid location is available. |
| `longitude` | float64 | Longitude in decimal degrees using WGS 84 when a valid location is available. |
| `geometry_wkb` | binary | The record geometry encoded as Well-Known Binary for spatial workflows. |
| `media_url` | string | URL for associated imagery or other visual media when available. |
| `attribution` | string | Attribution information carried into the exported record. |
| `source` | string | Source or provider associated with the observation. |
| `properties` | string | JSON-encoded object containing source-specific OpenStreetMap attributes. |

### Source-specific properties

The `properties` field preserves additional OpenStreetMap tags associated with each feature. Exact keys vary by record and region; common examples include:

| Property | Description |
| --- | --- |
| `osm_id` | OpenStreetMap object identifier when supplied. |
| `fire_hydrant:type` | Hydrant type when mapped. |
| `fire_hydrant:position` | Position or placement information when supplied. |
| `fire_hydrant:diameter / water_source` | Hydrant or water-source attributes when mapped. |
| `operator / ref` | Responsible organization or asset reference when available. |
| `address` | Address or location text when supplied. |

Not every property is populated for every record.

## Download

The dataset is available in Parquet, GeoJSON, and CSV formats:

* [Parquet](https://huggingface.co/datasets/EmbedEarth/emergency-fire-hydrant/resolve/main/data.parquet)
* [GeoJSON](https://huggingface.co/datasets/EmbedEarth/emergency-fire-hydrant/resolve/main/data.geojson)
* [CSV](https://huggingface.co/datasets/EmbedEarth/emergency-fire-hydrant/resolve/main/data.csv)

**Parquet** is recommended for analytics, Python workflows, DuckDB, and large-scale processing. **GeoJSON** is useful for GIS software and web maps. **CSV** is convenient for tabular analysis and interoperability.

## Data sources and attribution

This dataset was prepared and distributed by **[EmbedEarth](https://embed.earth)** from data contributed to **[OpenStreetMap](https://www.openstreetmap.org/copyright)**.

OpenStreetMap data is available under the **[Open Database License (ODbL) 1.0](https://opendatacommons.org/licenses/odbl/1.0/)**. When using or redistributing the data, retain the OpenStreetMap attribution and follow the applicable ODbL requirements. Record-level media or third-party links may have additional terms set by their original providers.

Suggested attribution:

> Contains information from OpenStreetMap, which is made available under the Open Database License (ODbL). https://www.openstreetmap.org/copyright

## Methodology and limitations

Records were exported from an OpenStreetMap snapshot for 2025. A mapped hydrant is not a guarantee that the asset is accessible, operational, supplied with water, or suitable for a particular response. Field verification and local authority data are required for operational decisions.

OpenStreetMap coverage and tagging vary by place and contributor. Geographic absence should not be interpreted as real-world absence, and mapped presence should not be treated as an independent inspection or operational certification.

<!-- embedearth-tools:start -->
## Build with EmbedEarth

- [Geographic Feature List](https://embed.earth/catalog/features) — browse geographic features available through EmbedEarth
- [EmbedEarth](https://embed.earth) — programmable infrastructure for Earth
- [Developer Documentation](https://embed.earth/docs) — APIs, tools, guides, and examples
- [GitHub — EmbedEarth/e2](https://github.com/EmbedEarth/e2) — open-source code, issues, and contributions
- [Geographic Search SDK](https://www.npmjs.com/package/@embedearth/sdk) — search geographic features and regions programmatically
- [API](https://embed.earth/docs) — integrate geographic search and spatial data into applications
- [SDK](https://www.npmjs.com/package/@embedearth/sdk) — build geographic capabilities directly into applications
- [CLI](https://www.npmjs.com/package/@embedearth/cli) — work with geographic search and spatial data from the terminal
- [MCP](https://www.npmjs.com/package/@embedearth/mcp) — connect geographic search and spatial tools to AI agents

Install from npm:

```bash
npm i @embedearth/cli
npm i @embedearth/sdk
npm i @embedearth/mcp
```
<!-- embedearth-tools:end -->

## License

The OpenStreetMap-derived database in this repository is made available under the **Open Database License (ODbL) 1.0**. See the [ODbL license text](https://opendatacommons.org/licenses/odbl/1.0/) and [OpenStreetMap attribution guidance](https://www.openstreetmap.org/copyright).

EmbedEarth-created explanatory text and metadata are provided to help users understand the release. Users are responsible for complying with the terms applying to OpenStreetMap data and any underlying third-party media or links.