Resource Category (county)
Scenario (county)
Resource Type (county)
Resource (county)
Year (county)
Biomass Price (county)
State Fips (county)
Fips (county)
State (county)
USDA Region (county)
Class (county)
Section (county)
BT16 Vol1 County Download Tool
Please wait. Loading state data......
Billion-Ton 2016 Download Tool (County)
Rows of data to be downloaded
182 Rows
Estimated time for CSV dataset generation
0.1 Seconds (Estimated)
Generate Downloadable
filtered dataset as CSV
(After dataset generation, a download dialog will show, depending on size of dataset it may take some time.)
filtered dataset as CSV
(After dataset generation, a download dialog will show, depending on size of dataset it may take some time.)
| Year | Scenario | Biomass Price | Resource | State | County | County Fips Code | USDA Region | Production | Production Unit | Production Density | Harvested Acres | Yield | Yield Unit | Land Area | Resource Category | Resource Form | Resource Type | Land Source | Class | Section | Forest Region | Diameter Class | Operation Type | Owner | Supply Class | Version |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351840590430208 | |||||
| 2015 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351841540440064 | |||||
| 2016 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351841887518720 | |||||
| 2016 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351842856402944 | |||||
| 2017 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351843208724480 | |||||
| 2017 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351844157685760 | |||||
| 2017 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351884846628864 | |||||
| 2017 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351885828096000 | |||||
| 2018 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351886191951872 | |||||
| 2018 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351887200681984 | |||||
| 2019 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351887547760640 | |||||
| 2019 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351888520839168 | |||||
| 2020 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351888861626368 | |||||
| 2020 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351889855676416 | |||||
| 2021 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351890200657920 | |||||
| 2021 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351891165347840 | |||||
| 2034 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351869232283648 | |||||
| 2034 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351870211653632 | |||||
| 2035 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351870567120896 | |||||
| 2035 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351871502450688 | |||||
| 2036 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351871870500864 | |||||
| 2036 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351872816316416 | |||||
| 2037 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351873177026560 | |||||
| 2037 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351874152202240 | |||||
| 2038 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351874498232320 | |||||
| 2038 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351875440902144 | |||||
| 2039 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351875800563712 | |||||
| 2023 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351853773127680 | |||||
| 2024 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351854124400640 | |||||
| 2024 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351855064973312 | |||||
| 2025 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351855428829184 | |||||
| 2025 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351856379887616 | |||||
| 2026 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351856735354880 | |||||
| 2026 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351857710530560 | |||||
| 2027 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351858061803520 | |||||
| 2027 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351859039076352 | |||||
| 2028 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351859395592192 | |||||
| 2022 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351893194342400 | |||||
| 2022 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351894150643712 | |||||
| 2023 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351894506110976 | |||||
| 2023 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351895498063872 | |||||
| 2024 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351895847239680 | |||||
| 2024 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351896807735296 | |||||
| 2025 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351897156911104 | |||||
| 2025 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351898208632832 | |||||
| 2026 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351898567245824 | |||||
| 2018 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351846218137600 | |||||
| 2018 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351847202750464 | |||||
| 2019 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351847550877696 | |||||
| 2019 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351848489353216 | |||||
| 2020 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351848835383296 | |||||
| 2020 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351849786441728 | |||||
| 2021 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351850140860416 | |||||
| 2021 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351851181047808 | |||||
| 2022 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351851524980736 | |||||
| 2028 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351862031712256 | |||||
| 2029 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351862384033792 | |||||
| 2029 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351863304683520 | |||||
| 2030 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351863650713600 | |||||
| 2030 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351864595480576 | |||||
| 2031 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351864938364928 | |||||
| 2031 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351865887326208 | |||||
| 2032 | Wastes and other residues | 80 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351866257473536 | |||||
| 2032 | Wastes and other residues | 80 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351867305000960 | |||||
| 2015 | Wastes and other residues | 100 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351925399257088 | |||||
| 2015 | Wastes and other residues | 100 | Food waste | Texas | Stephens County | 48429 | Southern Plains | 242 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351925580660736 | |||||
| 2016 | Wastes and other residues | 100 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351925768355840 | |||||
| 2016 | Wastes and other residues | 100 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351926738288640 | |||||
| 2016 | Wastes and other residues | 100 | Food waste | Texas | Stephens County | 48429 | Southern Plains | 242 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351926917595136 | |||||
| 2017 | Wastes and other residues | 100 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351927107387392 | |||||
| 2017 | Wastes and other residues | 100 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351928099340288 | |||||
| 2017 | Wastes and other residues | 100 | Food waste | Texas | Stephens County | 48429 | Southern Plains | 242 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351928276549632 | |||||
| 2018 | Wastes and other residues | 100 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351928474730496 | |||||
| 2018 | Wastes and other residues | 100 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351929548472320 | |||||
| 2018 | Wastes and other residues | 100 | Food waste | Texas | Stephens County | 48429 | Southern Plains | 242 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351929771819008 | |||||
| 2019 | Wastes and other residues | 100 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351929955319808 | |||||
| 2032 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351909468241920 | |||||
| 2033 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351909826854912 | |||||
| 2033 | Wastes and other residues | 90 | Food waste | South Carolina | Berkeley County | 45015 | Southeast | 4,794 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351910778961920 | |||||
| 2034 | Wastes and other residues | 90 | Food waste | Alabama | Jackson County | 01071 | Southeast | 230 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351911132332032 |