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World Forests Database 2023 Update

Comprehensive and updated dataset of forests: explore locations, unique attributes, and popularity insights
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Fresh data 20,000+ rows Commercial license
Sample data
Name Alternate Names Country Code Region Province Type Latitude Longitude Population Elevation Timezone
Baraga State Forest Baraga State Forest,Copper County State Forest US Michigan Houghton County forests 46.821320 -88.817630 0 338 America/Detroit
Barnard Town Forest Barnard Municipal Forest,Barnard Town Forest US Vermont Windsor County forests 43.700620 -72.667040 0 619 America/New_York
Barrs Woods (historical) Barr's Woods,Barrs Woods (historical) US Ohio Hamilton County forests 39.102840 -84.524940 0 162 America/New_York
Bear Creek State Forest Bear Creek State Forest,Hermit Tract Public Hunting Area,Her... US Missouri Laclede County forests 37.735320 -92.573230 0 369 America/Chicago
Becks Woods Beck's Woods,Becks Woods US Illinois McHenry County forests 42.414460 -88.673160 0 264 America/Chicago
Bellows Falls Village Forest Bellows Falls Village Forest,Bellows Falls Village Municipal... US Vermont Windham County forests 43.157020 -72.479530 0 227 America/New_York
Berkshire Municipal Forest Berkshire Municipal Forest,Berkshire Town Foresty US Vermont Franklin County forests 44.958380 -72.742910 0 233 America/New_York
Bethel Town Forest Bethel Municipal Forest,Bethel Town Forest US Vermont Windsor County forests 43.861180 -72.692050 0 411 America/New_York
Big Tree Grove Big Tree Grove,Big Trees,Santa Cruz Big Trees,Welch Big Tree... US California Santa Cruz County forests 37.043560 -122.058850 0 187 America/Los_Angeles
Big Woods Big Woods,Grand Bois US Louisiana Vermilion Parish forests 29.859930 -92.183460 0 1 America/Chicago
Available data formats
CSV GML JSON KML GPX PDF SQL SRI XLS KMZ AutoCAD DXF

What's included in the world Forests database

We collect and enrich data on the world forests and provide you with various metrics you can use for you project
Exact location
Region, city, zip code, latitude, longitude etc
Unique attributes
Elevation, unique features, alternative names etc
Popularity
Population, refresh date, related locations, etc
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The world forests data sources

We curate information from numerous open-source data streams, ensuring comprehensive coverage of the worldforests. Our team meticulously cleans and refines this data, offering you a streamlined and user-friendly dataset, primed for efficient and accurate use.

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the world Forests DB - Frequently asked questions

More information about the world forests dataset and how it works
What does this dataset include?
This dataset provides comprehensive information on forestsaround the world, detailing their locations, elevation and other unique attributes.
How frequently is the forests data updated?
We update our forests dataset annually to ensure current and accurate information.
In which formats is the forests data available?
The forests dataset is available in 20 different formats including: CSV, Excel, and GeoJSON for easy integration
Can I use the world forests data for commercial purposes?
Yes, the forests dataset is licensed for both personal and commercial use.
How is the world forests data sourced?
We compile forests data from verified global sources, ensuring reliability and breadth of coverage.
Do you provide any historical data on forests?
Currently, our focus is on present-day information, but we are exploring the inclusion of historical forests data in future updates.
How can I integrate the forests data into my GIS system?
The GeoJSON forests dataset format we provide is compatible with most GIS systems, allowing for straightforward integration.
Is there any support if I face issues with the the world forests dataset?
Absolutely! Our team is here to assist with any challenges or questions you may have about the forests dataset.
Are there any sample the world forests data points I can review before purchase?
Yes, please see the sample the world forests dataset file at the top of this page. Click here.
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About us

We collect data from multiple sources to streamline business decision-making. Our mission is to simplify complex geographical datasets, empowering users to make informed decisions with precision and confidence.