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Scenario
Resource Type
Resource
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Fips
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022 | 1% Basecase, all energy crops | 70 | Barley | Arizona | Mountain | 04 | 4,477,456 | bu | 39.42 | 35,400 | 126.48 | bu/ac | 113,594.0907 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | California | Pacific | 06 | 6,521,143 | bu | 41.86 | 97,585 | 66.82 | bu/ac | 155,779.18953 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Colorado | Mountain | 08 | 7,471,063 | bu | 72.09 | 52,942 | 141.12 | bu/ac | 103,641.90016 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Idaho | Mountain | 16 | 50,391,676 | bu | 609.75 | 513,806 | 98.08 | bu/ac | 82,643.13955 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Maryland | North East | 24 | 4,105,724 | bu | 422.96 | 48,175 | 85.23 | bu/ac | 9,707.219952 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Minnesota | Lake States | 27 | 4,848,927 | bu | 60.9 | 74,564 | 65.03 | bu/ac | 79,626.73995 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Montana | Mountain | 30 | 40,775,145 | bu | 280.15 | 705,542 | 57.79 | bu/ac | 145,545.75894 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | North Dakota | Northern Plains | 38 | 35,961,858 | bu | 521.18 | 552,095 | 65.14 | bu/ac | 69,000.7798 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Oregon | Pacific | 41 | 3,325,003 | bu | 34.64 | 44,183 | 75.25 | bu/ac | 95,988.02985 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Pennsylvania | North East | 42 | 4,044,874 | bu | 90.4 | 54,151 | 74.7 | bu/ac | 44,742.66997 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Utah | Mountain | 49 | 3,167,195 | bu | 38.54 | 35,325 | 89.66 | bu/ac | 82,169.58992 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Virginia | Appalachian | 51 | 5,220,369 | bu | 132.19 | 60,550 | 86.22 | bu/ac | 39,490.149981 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Washington | Pacific | 53 | 10,471,526 | bu | 157.57 | 132,740 | 78.89 | bu/ac | 66,455.52029 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 1% Basecase, all energy crops | 70 | Barley | Wyoming | Mountain | 56 | 6,674,209 | bu | 68.74 | 68,542 | 97.37 | bu/ac | 97,093.1392 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Arizona | Mountain | 04 | 4,476,717 | bu | 39.41 | 35,390 | 126.5 | bu/ac | 113,594.0907 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | California | Pacific | 06 | 6,492,573 | bu | 41.68 | 97,074 | 66.88 | bu/ac | 155,779.18953 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Colorado | Mountain | 08 | 7,527,217 | bu | 72.63 | 53,519 | 140.64 | bu/ac | 103,641.90016 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Idaho | Mountain | 16 | 48,809,868 | bu | 590.61 | 496,121 | 98.38 | bu/ac | 82,643.13955 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Maryland | North East | 24 | 4,154,038 | bu | 427.93 | 48,645 | 85.39 | bu/ac | 9,707.219952 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Minnesota | Lake States | 27 | 4,540,860 | bu | 57.03 | 69,797 | 65.06 | bu/ac | 79,626.73995 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Montana | Mountain | 30 | 39,422,436 | bu | 270.86 | 679,202 | 58.04 | bu/ac | 145,545.75894 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | North Dakota | Northern Plains | 38 | 33,563,665 | bu | 486.42 | 516,295 | 65.01 | bu/ac | 69,000.7798 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Oregon | Pacific | 41 | 3,241,581 | bu | 33.77 | 42,890 | 75.58 | bu/ac | 95,988.02985 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Pennsylvania | North East | 42 | 3,956,284 | bu | 88.42 | 52,821 | 74.9 | bu/ac | 44,742.66997 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Utah | Mountain | 49 | 3,168,598 | bu | 38.56 | 35,344 | 89.65 | bu/ac | 82,169.58992 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Virginia | Appalachian | 51 | 5,073,882 | bu | 128.48 | 58,846 | 86.22 | bu/ac | 39,490.149981 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Washington | Pacific | 53 | 10,368,187 | bu | 156.02 | 131,354 | 78.93 | bu/ac | 66,455.52029 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 2% yield inc. | 70 | Barley | Wyoming | Mountain | 56 | 6,707,252 | bu | 69.08 | 68,885 | 97.37 | bu/ac | 97,093.1392 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Arizona | Mountain | 04 | 4,475,893 | bu | 39.4 | 35,379 | 126.51 | bu/ac | 113,594.0907 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | California | Pacific | 06 | 6,494,662 | bu | 41.69 | 97,086 | 66.9 | bu/ac | 155,779.18953 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Colorado | Mountain | 08 | 7,530,323 | bu | 72.66 | 53,543 | 140.64 | bu/ac | 103,641.90016 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Idaho | Mountain | 16 | 48,537,013 | bu | 587.31 | 492,380 | 98.58 | bu/ac | 82,643.13955 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Maryland | North East | 24 | 4,028,949 | bu | 415.05 | 47,260 | 85.25 | bu/ac | 9,707.219952 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Minnesota | Lake States | 27 | 4,476,981 | bu | 56.22 | 68,841 | 65.03 | bu/ac | 79,626.73995 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Montana | Mountain | 30 | 38,615,365 | bu | 265.31 | 664,426 | 58.12 | bu/ac | 145,545.75894 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | North Dakota | Northern Plains | 38 | 32,154,306 | bu | 466 | 494,484 | 65.03 | bu/ac | 69,000.7798 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Oregon | Pacific | 41 | 3,207,038 | bu | 33.41 | 42,392 | 75.65 | bu/ac | 95,988.02985 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Pennsylvania | North East | 42 | 3,946,457 | bu | 88.2 | 52,690 | 74.9 | bu/ac | 44,742.66997 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Utah | Mountain | 49 | 3,169,939 | bu | 38.58 | 35,362 | 89.64 | bu/ac | 82,169.58992 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Virginia | Appalachian | 51 | 4,856,925 | bu | 122.99 | 56,329 | 86.22 | bu/ac | 39,490.149981 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Washington | Pacific | 53 | 10,307,629 | bu | 155.11 | 130,531 | 78.97 | bu/ac | 66,455.52029 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 3% yield inc. | 70 | Barley | Wyoming | Mountain | 56 | 6,686,790 | bu | 68.87 | 68,691 | 97.35 | bu/ac | 97,093.1392 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Arizona | Mountain | 04 | 4,474,758 | bu | 39.39 | 35,365 | 126.53 | bu/ac | 113,594.0907 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | California | Pacific | 06 | 6,485,685 | bu | 41.63 | 96,892 | 66.94 | bu/ac | 155,779.18953 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Colorado | Mountain | 08 | 7,534,320 | bu | 72.7 | 53,573 | 140.64 | bu/ac | 103,641.90016 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Idaho | Mountain | 16 | 48,417,786 | bu | 585.87 | 491,004 | 98.61 | bu/ac | 82,643.13955 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Maryland | North East | 24 | 3,952,180 | bu | 407.14 | 46,416 | 85.15 | bu/ac | 9,707.219952 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Minnesota | Lake States | 27 | 4,501,560 | bu | 56.53 | 69,058 | 65.19 | bu/ac | 79,626.73995 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Montana | Mountain | 30 | 38,001,206 | bu | 261.09 | 653,781 | 58.13 | bu/ac | 145,545.75894 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | North Dakota | Northern Plains | 38 | 31,545,172 | bu | 457.17 | 483,877 | 65.19 | bu/ac | 69,000.7798 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Oregon | Pacific | 41 | 3,187,177 | bu | 33.2 | 42,156 | 75.6 | bu/ac | 95,988.02985 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Pennsylvania | North East | 42 | 3,907,818 | bu | 87.34 | 52,125 | 74.97 | bu/ac | 44,742.66997 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Utah | Mountain | 49 | 3,171,508 | bu | 38.6 | 35,383 | 89.63 | bu/ac | 82,169.58992 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Virginia | Appalachian | 51 | 4,857,089 | bu | 122.99 | 56,277 | 86.31 | bu/ac | 39,490.149981 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Washington | Pacific | 53 | 10,243,066 | bu | 154.13 | 129,651 | 79.01 | bu/ac | 66,455.52029 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | 4% yield inc. | 70 | Barley | Wyoming | Mountain | 56 | 6,694,040 | bu | 68.94 | 68,788 | 97.31 | bu/ac | 97,093.1392 | Agriculture | Herbaceous | Conventional | Crop | CONV | AGRI | 0 | 20160126 | ||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Alabama | Southeast | 01 | 289,806 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Arizona | Mountain | 04 | 336,328 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Arkansas | Delta States | 05 | 151,296 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | California | Pacific | 06 | 1,952,581 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Colorado | Mountain | 08 | 266,329 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Connecticut | North East | 09 | 184,387 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Delaware | North East | 10 | 47,035 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | District of Columbia | North East | 11 | 32,577 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Florida | Southeast | 12 | 992,905 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Georgia | Southeast | 13 | 508,834 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Idaho | Mountain | 16 | 81,852 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Illinois | Corn Belt | 17 | 660,411 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Indiana | Corn Belt | 18 | 335,374 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Iowa | Corn Belt | 19 | 157,792 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Kansas | Northern Plains | 20 | 148,047 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Kentucky | Appalachian | 21 | 224,867 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Louisiana | Delta States | 22 | 236,219 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Maine | North East | 23 | 68,155 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Maryland | North East | 24 | 302,244 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Massachusetts | North East | 25 | 341,437 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Michigan | Lake States | 26 | 507,079 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Minnesota | Lake States | 27 | 276,020 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Mississippi | Delta States | 28 | 153,186 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 | |||||
2022 | Wastes and other residues | 70 | Paper and paperboard | Missouri | Corn Belt | 29 | 309,091 | dt | 0 | 0 | 0 | 0 | Wastes | Waste | MSW | NA | MNSW | SWST | 0 | 20160601 |