Resource Category
Scenario
Resource Type
Resource
Year
Biomass Price
Fips
State
USDA Region
Class
Section
BT16 Vol1 State Download Tool
Please wait. Loading county data......
Billion-Ton 2016 Download Tool (State)
Rows of data to be downloaded
45 Rows
Estimated time for CSV dataset generation
0 Seconds (Estimated)
Generate Downloadable
filtered dataset as CSV
(After dataset generation, a download button will show)
filtered dataset as CSV
(After dataset generation, a download button will show)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2028 | Wastes and other residues | 70 | Food waste | Alabama | Southeast | 01 | 25,235 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Arizona | Mountain | 04 | 67,349 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Arkansas | Delta States | 05 | 4,922 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | California | Pacific | 06 | 962,979 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Colorado | Mountain | 08 | 51,371 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Connecticut | North East | 09 | 90,936 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Delaware | North East | 10 | 23,197 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | District of Columbia | North East | 11 | 16,066 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Florida | Southeast | 12 | 489,683 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Georgia | Southeast | 13 | 47,785 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Illinois | Corn Belt | 17 | 325,703 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Indiana | Corn Belt | 18 | 165,401 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Iowa | Corn Belt | 19 | 5,616 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Kansas | Northern Plains | 20 | 73,014 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Kentucky | Appalachian | 21 | 110,901 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Louisiana | Delta States | 22 | 19,055 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Maine | North East | 23 | 33,613 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Maryland | North East | 24 | 149,062 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Massachusetts | North East | 25 | 168,391 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Michigan | Lake States | 26 | 250,083 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Minnesota | Lake States | 27 | 136,128 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Missouri | Corn Belt | 29 | 152,438 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Nebraska | Northern Plains | 31 | 10,433 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Nevada | Mountain | 32 | 30,711 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | New Hampshire | North East | 33 | 33,428 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | New Jersey | North East | 34 | 224,561 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | New Mexico | Mountain | 35 | 8,513 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | New York | North East | 36 | 496,056 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | North Carolina | Appalachian | 37 | 246,627 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Ohio | Corn Belt | 39 | 292,235 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Oklahoma | Southern Plains | 40 | 20,533 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Oregon | Pacific | 41 | 29,913 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Pennsylvania | North East | 42 | 323,079 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Rhode Island | North East | 44 | 26,631 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | South Carolina | Southeast | 45 | 26,140 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | South Dakota | Northern Plains | 46 | 21,113 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Tennessee | Appalachian | 47 | 33,523 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Texas | Southern Plains | 48 | 237,211 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Utah | Mountain | 49 | 24,288 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Vermont | North East | 50 | 15,841 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Virginia | Appalachian | 51 | 211,009 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Washington | Pacific | 53 | 174,475 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | West Virginia | Appalachian | 54 | 46,964 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Wisconsin | Lake States | 55 | 144,838 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 | |||||
2028 | Wastes and other residues | 70 | Food waste | Wyoming | Mountain | 56 | 14,595 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | Food Waste | NA | MNSW | SWST | 0 | 20160601 |