Resource Category
Scenario
Resource Type
Resource
Year
Biomass Price
Fips
State
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Class
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2037 | Wastes and other residues | 30 | Other forest residue | Alabama | Southeast | 01 | 974,937 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Alabama | Southeast | 01 | 359,689 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Arizona | Mountain | 04 | 169,489 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Arkansas | Delta States | 05 | 888,706 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Arkansas | Delta States | 05 | 187,779 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | California | Pacific | 06 | 2,423,422 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Colorado | Mountain | 08 | 129,280 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Connecticut | North East | 09 | 39,382 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Connecticut | North East | 09 | 228,850 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Delaware | North East | 10 | 58,377 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | District of Columbia | North East | 11 | 40,432 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Florida | Southeast | 12 | 503,647 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Florida | Southeast | 12 | 1,232,331 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Georgia | Southeast | 13 | 1,080,261 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Georgia | Southeast | 13 | 631,533 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Idaho | Mountain | 16 | 13,017 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Illinois | Corn Belt | 17 | 160,639 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Illinois | Corn Belt | 17 | 819,660 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Indiana | Corn Belt | 18 | 49,836 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Indiana | Corn Belt | 18 | 416,245 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Iowa | Corn Belt | 19 | 158,312 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Iowa | Corn Belt | 19 | 195,842 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Kansas | Northern Plains | 20 | 32,471 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Kansas | Northern Plains | 20 | 183,747 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Kentucky | Appalachian | 21 | 973,986 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Kentucky | Appalachian | 21 | 279,091 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Louisiana | Delta States | 22 | 726,209 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Louisiana | Delta States | 22 | 47,954 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Maine | North East | 23 | 50,638 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Maine | North East | 23 | 84,590 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Maryland | North East | 24 | 86,506 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Maryland | North East | 24 | 375,127 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Massachusetts | North East | 25 | 87,042 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Massachusetts | North East | 25 | 423,770 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Michigan | Lake States | 26 | 118,198 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Michigan | Lake States | 26 | 629,355 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Minnesota | Lake States | 27 | 74,020 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Minnesota | Lake States | 27 | 342,579 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Mississippi | Delta States | 28 | 661,670 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Missouri | Corn Belt | 29 | 190,219 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Missouri | Corn Belt | 29 | 383,624 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Nebraska | Northern Plains | 31 | 6,323 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Nebraska | Northern Plains | 31 | 26,256 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Nevada | Mountain | 32 | 77,286 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | New Hampshire | North East | 33 | 12,303 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | New Hampshire | North East | 33 | 84,126 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | New Jersey | North East | 34 | 24,061 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | New Jersey | North East | 34 | 565,127 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | New Mexico | Mountain | 35 | 132,724 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | New York | North East | 36 | 208,405 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | New York | North East | 36 | 1,248,368 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | North Carolina | Appalachian | 37 | 1,627,316 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | North Carolina | Appalachian | 37 | 620,658 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | North Dakota | Northern Plains | 38 | 9,394 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | North Dakota | Northern Plains | 38 | 44,677 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Ohio | Corn Belt | 39 | 77,397 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Ohio | Corn Belt | 39 | 735,435 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Oklahoma | Southern Plains | 40 | 138,511 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Oklahoma | Southern Plains | 40 | 243,029 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Oregon | Pacific | 41 | 75,278 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Pennsylvania | North East | 42 | 92,084 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Pennsylvania | North East | 42 | 813,057 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Rhode Island | North East | 44 | 19,284 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Rhode Island | North East | 44 | 67,020 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | South Carolina | Southeast | 45 | 1,135,940 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | South Carolina | Southeast | 45 | 300,685 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | South Dakota | Northern Plains | 46 | 53,132 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Tennessee | Appalachian | 47 | 593,458 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Tennessee | Appalachian | 47 | 84,364 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Texas | Southern Plains | 48 | 549,080 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Texas | Southern Plains | 48 | 596,962 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Utah | Mountain | 49 | 61,123 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Vermont | North East | 50 | 19,364 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Vermont | North East | 50 | 39,866 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Virginia | Appalachian | 51 | 1,502,161 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Virginia | Appalachian | 51 | 531,023 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | Washington | Pacific | 53 | 439,083 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | West Virginia | Appalachian | 54 | 66,572 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Plastics | West Virginia | Appalachian | 54 | 118,190 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2037 | Wastes and other residues | 30 | Other forest residue | Wisconsin | Lake States | 55 | 61,970 | dt | 0 | 0 | 0 | 0 | Wastes | Woody | Forest Residues | NA | RSDF | SWST | 0 | 20160601 |