2039 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351836553412608 |
2028 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351820596183040 |
2040 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351837854695424 |
2015 |
Wastes and other residues |
80 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351841136738304 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351842466332672 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351843755032576 |
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 |
2019 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351807086329856 |
2020 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351808381321216 |
2021 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351809671069696 |
2022 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351810979692544 |
2023 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351812251615232 |
2017 |
Wastes and other residues |
90 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351885406568448 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351886767620096 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351888117137408 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351889408983040 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351890759548928 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351869809000448 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351871102943232 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351872407371776 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351873714946048 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351875043491840 |
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 |
2023 |
Wastes and other residues |
80 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351853354745856 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351854666514432 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351855983525888 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351857315217408 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351858634326016 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351859935608832 |
2029 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351821896417280 |
2030 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351823209234432 |
2031 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351824506322944 |
2032 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351825791877120 |
2033 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351827101548544 |
2034 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351828408074240 |
2015 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351801897975808 |
2016 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351803209744384 |
2022 |
Wastes and other residues |
90 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351893736456192 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351895062904832 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351896397742080 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351897711607808 |
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 |
2035 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351831314726912 |
2036 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351832613912576 |
2037 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351833906806784 |
2038 |
Wastes and other residues |
70 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351835271004160 |
2018 |
Wastes and other residues |
80 |
Food waste |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351846780174336 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351848079360000 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351849376448512 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351850722820096 |
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 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351862912516096 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351864203313152 |
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 |
Minnesota |
Le Sueur County |
27079 |
Lake States |
699 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351865484673024 |
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 |