Resource Category
Scenario
Resource Type
Resource
Year
Biomass Price
Fips
State
USDA Region
Class
Section
BT16 Vol1 State Download Tool
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Billion-Ton 2016 Download Tool (State)
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Year | Scenario | Biomass Price | Resource | State | USDA Region | Fips | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2031 | Wastes and other residues | 30 | Textiles | Alabama | Southeast | 01 | 147,782 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Arizona | Mountain | 04 | 69,636 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Arkansas | Delta States | 05 | 77,151 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | California | Pacific | 06 | 995,687 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Colorado | Mountain | 08 | 53,116 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Connecticut | North East | 09 | 94,025 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Delaware | North East | 10 | 23,985 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | District of Columbia | North East | 11 | 16,612 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Florida | Southeast | 12 | 506,316 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Georgia | Southeast | 13 | 49,408 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Idaho | Mountain | 16 | 5,348 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Illinois | Corn Belt | 17 | 336,766 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Indiana | Corn Belt | 18 | 171,018 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Iowa | Corn Belt | 19 | 5,807 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Kansas | Northern Plains | 20 | 75,494 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Kentucky | Appalachian | 21 | 114,667 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Louisiana | Delta States | 22 | 19,703 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Maine | North East | 23 | 34,755 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Maryland | North East | 24 | 154,125 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Massachusetts | North East | 25 | 174,110 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Michigan | Lake States | 26 | 258,577 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Minnesota | Lake States | 27 | 140,752 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Missouri | Corn Belt | 29 | 157,616 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Nebraska | Northern Plains | 31 | 10,788 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Nevada | Mountain | 32 | 31,754 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | New Hampshire | North East | 33 | 34,564 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | New Jersey | North East | 34 | 232,188 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | New Mexico | Mountain | 35 | 8,802 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | New York | North East | 36 | 512,905 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | North Carolina | Appalachian | 37 | 255,003 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | North Dakota | Northern Plains | 38 | 18,356 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Ohio | Corn Belt | 39 | 302,161 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Oklahoma | Southern Plains | 40 | 21,231 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Oregon | Pacific | 41 | 30,929 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Pennsylvania | North East | 42 | 334,052 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Rhode Island | North East | 44 | 27,536 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | South Carolina | Southeast | 45 | 123,539 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | South Dakota | Northern Plains | 46 | 21,830 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Tennessee | Appalachian | 47 | 34,662 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Texas | Southern Plains | 48 | 245,268 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Utah | Mountain | 49 | 25,113 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Vermont | North East | 50 | 16,379 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Virginia | Appalachian | 51 | 218,176 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Washington | Pacific | 53 | 180,401 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | West Virginia | Appalachian | 54 | 48,559 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Wisconsin | Lake States | 55 | 149,758 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2031 | Wastes and other residues | 30 | Textiles | Wyoming | Mountain | 56 | 15,091 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 |