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Billion-Ton 2016 Download Tool (County)
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| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351840578895872 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351841875984384 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351843195092992 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351884831948800 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351886179368960 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351887534129152 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351888846946304 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351890189123584 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351869216555008 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351870552440832 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351871858966528 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351873165492224 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351874486697984 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351875785883648 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351854109720576 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351855414149120 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351856722771968 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351858050269184 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351859380912128 | |||||
| 2022 | Wastes and other residues | 90 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351893179662336 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351894490382336 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351895834656768 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351897142231040 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351898552565760 | |||||
| 2018 | Wastes and other residues | 80 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351846203457536 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351847536197632 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351848820703232 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351850127228928 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351851509252096 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351862369353728 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351863636033536 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351864923684864 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351866242793472 | |||||
| 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 | |||||
| 2016 | Wastes and other residues | 100 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351925753675776 | |||||
| 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 | |||||
| 2017 | Wastes and other residues | 100 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351927090610176 | |||||
| 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 | |||||
| 2018 | Wastes and other residues | 100 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351928460050432 | |||||
| 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 | |||||
| 2019 | Wastes and other residues | 100 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351929941688320 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351909814272000 | |||||
| 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 | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351911117651968 | |||||
| 2034 | 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 | 1766351912100167680 | |||||
| 2035 | Wastes and other residues | 90 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351912436760576 | |||||
| 2035 | 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 | 1766351913504210944 | |||||
| 2036 | Wastes and other residues | 90 | Food waste | Alabama | Blount County | 01009 | Southeast | 324 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 1766351913848143872 |