Fires in Australia's Forests 2016–21 — Planned and Unplanned Burn Extent Grid Cross-Tabulation
One row per unique class of the continental 'Fires in Australia's Forests 2016-21 (2024)' raster: state/territory, forest tenure code (for_ten: PRIV, LEASE, NCR, OCL, MUF and others), forest category (native forest, commercial plantation, other forest, non-forest), and per-financial-year fire indicators fire_1617 through fire_2021 marking each of the five years July 2016 - June 2021 as 'P' (planned/prescribed burn), 'U' (unplanned bushfire/wildfire) or blank (not burnt). for_burns counts the years burnt (-9 sentinel to 5) and for_burn_t labels the burn combination; `count` is the number of grid cells in the class — an area proxy, not hectares. 38,455 rows; frozen dataset compiled in 2024 by ABARES for Australia's State of the Forests Report Indicator 3.1b, from state and territory fire-agency data intersected with Forests of Australia (2023) cover and forest tenure. Tabular summary of a spatial dataset, no coordinates included.
Source: ABARES · connector code
Get this dataset on your machine
subsets sync --bundle medium clones the mid-size tiers as queryable local tables — use --bundle large for the widest tier
pip install subsetsiosubsets sync --bundle small # or medium, or largesubsets serve # search + SQL at http://localhost:8080Free and open — the data syncs straight from the public bucket, and search + SQL run entirely on your machine. See docs →
Query it locally
Full docs →subsets serve # local API on http://localhost:8080
curl -s -X POST "http://localhost:8080/query" \
-H "Content-Type: application/json" \
-d '{"sql": "SELECT * FROM \"abares-fires-in-australia-s-forests-2016-21-2024\" LIMIT 5"}'No account, no API key — the data syncs straight from bundles.subsets.io and every query runs on your machine. See the local API reference.