# Access data There a few different ways to access the data, in addition to exploration via the map tool. This page outlines the different versions and formats of data available for download. :::{admonition} **License Agreement** :class: warning Open Climate Risk data are made available under the licenses listed below. By accessing the data, you agree to adhere to the license terms. ::: :::{admonition} **Terms** :class: warning By viewing Open Climate Risk data, you agree to the [TERMS OF DATA ACCESS](terms-of-data-access.md). ::: ## Download options | Option | Description | Formats | Access | License | Data sources | | --------------------------------- | --------------------------------------------------------------------------------------- | --------------------- | ------------------------------------------------------------ | --------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **Raster (tensor) data** | Full gridded dataset spanning CONUS | Icechunk (Zarr-based) | [Source Coop](https://source.coop/carbonplan/carbonplan-ocr) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | [K Riley et al. (2025)](https://doi.org/10.2737/RDS-2025-0006), [J Scott et al. (2024)](https://doi.org/10.2737/RDS-2020-0016-2), [R Rasmussen et al. (2023)](https://doi.org/10.1175/BAMS-D-21-0326.1) | | **Vector (polygon) data** | Full buildings dataset spanning CONUS | GeoParquet | [Source Coop](https://source.coop/carbonplan/carbonplan-ocr) | [ODbL](https://opendatacommons.org/licenses/odbl/1-0/) | [Overture Maps Foundation buildings dataset](https://docs.overturemaps.org/guides/buildings/), [K Riley et al. (2025)](https://doi.org/10.2737/RDS-2025-0006), [J Scott et al. (2024)](https://doi.org/10.2737/RDS-2020-0016-2), [R Rasmussen et al. (2023)](https://doi.org/10.1175/BAMS-D-21-0326.1) | | **Regional statistics** | Summary statistics for regions (state, county, census tract, census block) within CONUS | CSV, GeoJSON | [Source Coop](https://source.coop/carbonplan/carbonplan-ocr) | [ODbL](https://opendatacommons.org/licenses/odbl/1-0/) | [Census TIGER/Line](https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html), [Overture Maps Foundation buildings dataset](https://docs.overturemaps.org/guides/buildings/), [K Riley et al. (2025)](https://doi.org/10.2737/RDS-2025-0006), [J Scott et al. (2024)](https://doi.org/10.2737/RDS-2020-0016-2), [R Rasmussen et al. (2023)](https://doi.org/10.1175/BAMS-D-21-0326.1) | | **Subsetted vector (point) data** | Building-level data subsetted to active region (county, census tract, census block) | CSV, GeoPackage | Map tool (see below) | [ODbL](https://opendatacommons.org/licenses/odbl/1-0/) | [Census TIGER/Line](https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html), [Overture Maps Foundation buildings dataset](https://docs.overturemaps.org/guides/buildings/), [K Riley et al. (2025)](https://doi.org/10.2737/RDS-2025-0006), [J Scott et al. (2024)](https://doi.org/10.2737/RDS-2020-0016-2), [R Rasmussen et al. (2023)](https://doi.org/10.1175/BAMS-D-21-0326.1) | ## Full dataset downloads ### Links | Option | Path | Notes | | ------------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | | **Raster (tensor) data** | `s3://us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/tensor/production/v1.0.0/ocr.icechunk/` | See [guide for working with Icechunk data](./how-to/work-with-data.ipynb) | | **Vector (polygon) data** | `s3://us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/geoparquet/buildings.parquet` | See [guide for working with GeoParquet data](./how-to/work-with-data.ipynb) | ### Schema The schemas for each of the full datasets are described on the [Data schema](./reference/data-schema.md) page. ## Regional statistics downloads ### Links | | CSV | GeoJSON | | ------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Statistics by **county** across CONUS | [`stats.csv`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/counties/stats.csv) | [`stats.geojson`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/counties/stats.geojson) | | Statistics by **census tract** across CONUS | [`stats.csv`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/tracts/stats.csv) | [`stats.geojson`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/tracts/stats.geojson) | | Statistics by **census block** across CONUS | [`stats.csv`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/block/stats.csv) | [`stats.geojson`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/block/stats.geojson) | | Statistics by **state** across CONUS | [`stats.csv`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/states/stats.csv) | [`stats.geojson`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/states/stats.geojson) | | Summary statistics across **CONUS** | [`stats.csv`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/nation/stats.csv) | [`stats.geojson`](https://s3.us-west-2.amazonaws.com/us-west-2.opendata.source.coop/carbonplan/carbonplan-ocr/output/fire-risk/vector/production/v1.0.0/region-analysis/nation/stats.geojson) | ### Schema | Variable | Type | Description | | ---------------------- | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Region identifiers** | | _Identifying information for region--a state, county, census tract, or census block--represented in each row_ | | `GEOID` | int | [Geographic Identifier](https://www.census.gov/programs-surveys/geography/guidance/geo-identifiers.html) for region | | `building_count` | int | Total number of buildings in region | | `longitude` | degrees | Longitude of centroid of region | | `latitude` | degrees | Latitude of centroid of region | | **Risk values** | | _Risk values from output, input, or comparison datasets_ | | `rps_2011_mean` | float | Mean annual fire risk (~2011 climate conditions) across all buildings in region | | `rps_2047_mean` | float | Mean annual fire risk (~2047 climate conditions) across all buildings in region | | `bp_2011_mean` | float | Mean burn probability (~2011 climate conditions) across all buildings in region | | `bp_2047_mean` | float | Mean burn probability (~2047 climate conditions) across all buildings in region | | `crps_scott_mean` | float | Mean conditional risk to potential structures (cRPS) from Scott et al. (2024) | | `bp_2011_riley_mean` | float | Mean burn probability (~2011 climate conditions) across all buildings in region from Riley et al. (2025) | | `bp_2047_riley_mean` | float | Mean burn probability (~2047 climate conditions) across all buildings in region from Riley et al. (2025) | | `rps_2011_median` | float | Median annual fire risk (~2011 climate conditions) across all buildings in region | | `rps_2047_median` | float | Median annual fire risk (~2047 climate conditions) across all buildings in region | | `bp_2011_median` | float | Median burn probability (~2011 climate conditions) across all buildings in region | | `bp_2047_median` | float | Median burn probability (~2047 climate conditions) across all buildings in region | | `crps_scott_median` | float | Median conditional risk to potential structures from Scott et al. (2024) | | `bp_2011_riley_median` | float | Median burn probability (~2011 climate conditions) across all buildings in region from Riley et al. (2025) | | `bp_2047_riley_median` | float | Median burn probability (~2047 climate conditions) across all buildings in region from Riley et al. (2025) | | **Histogram values** | | _Index in array corresponds to integer risk score (e.g., first value reflects number buildings with `0` score, next value reflects number buildings with `1` score, final value reflects number buildings with `10` score, etc.)._ | | `risk_score_2011_hist` | float[] | Count of buildings with each risk score (~2011 climate conditions) | | `risk_score_2047_hist` | float[] | Count of buildings with each risk score (~2047 climate conditions) | ## Downloading subsetted data in the map tool The [map tool](https://carbonplan.org/research/climate-risk) can be used to access region-specific, subsetted downloads. ### Steps 1. Using the map or search bar, navigate to region of interest. 2. Scroll to the `Risk in the region` section in the sidebar. 3. Select your region of interest (continental U.S., state, county, census tract, or census block) and view trends inline. 4. For subsetted, building-level data (schema below), click `CSV ↓` or `GeoPackage ↓` to download the applicable file for the selected region. _If you are instead interested in summary statistics for the region (e.g., to reproduce the histogram), you may click `CSV ↓` or `GeoJSON ↓` to download those files (also available in the Regional statistics downloads section above)._ ![](./assets/web-data-downloads.png) ### Schema | Variable | Type | Description | | ------------------------ | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Building identifiers** | | | | `GEOID` | int | [Geographic Identifier](https://www.census.gov/programs-surveys/geography/guidance/geo-identifiers.html) representing building (multiple buildings might belong to the same GEOID) | | `longitude` | degrees | Longitude of building centroid | | `latitude` | degrees | Latitude of building centroid | | **Risk values** | | | | `rps_2011` | float | Annual fire risk (~2011 climate conditions) | | `rps_2047` | float | Annual fire risk (~2047 climate conditions) | | `bp_2011` | float | Annual burn probability (~2011 climate conditions) | | `bp_2047` | float | Annual burn probability (~2047 climate conditions) | | `crps_scott` | float | Conditional risk to potential structures (cRPS) from Scott et al. (2024) | | `bp_2011_riley` | float | Annual burn probability (~2011 climate conditions) from Riley et al. (2025) | | `bp_2047_riley` | float | Annual burn probability (~2047 climate conditions) from Riley et al. (2025) |