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 |
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 |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351844157685760 |
2017 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351885192658944 |
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 |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351886531690496 |
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 |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351887904276480 |
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 |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351889197170688 |
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 |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351890549833728 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351859039076352 |
2022 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351893523595264 |
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 |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351894844801024 |
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 |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351896185929728 |
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 |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351897492455424 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351865887326208 |
2032 |
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 |
|
|
|
1766351867305000960 |
2015 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351924773257216 |
2015 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351925399257088 |
2016 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351926105997312 |
2016 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351926738288640 |
2017 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351927458660352 |
2017 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351928099340288 |
2018 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351928832294912 |
2018 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351929548472320 |
2019 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351930286669824 |
2032 |
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 |
|
|
|
1766351909468241920 |
2033 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351910158204928 |
2033 |
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 |
|
|
|
1766351910778961920 |
2034 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351911464730624 |
2034 |
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 |
|
|
|
1766351912100167680 |
2035 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351912794324992 |
2035 |
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 |
|
|
|
1766351913504210944 |
2036 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351914242408448 |
2025 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351940903501824 |
2026 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351941623873536 |
2026 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351942258262016 |
2027 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351942977585152 |
2027 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351943608827904 |
2028 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351944436154368 |
2028 |
Wastes and other residues |
100 |
Food waste |
South Carolina |
Berkeley County |
45015 |
Southeast |
4,794 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351945067397120 |
2029 |
Wastes and other residues |
100 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351945808740352 |
2022 |
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 |
|
|
|
1766351852448776192 |
2033 |
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 |
|
|
|
1766351868603138048 |
2039 |
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 |
|
|
|
1766351878493306880 |
2040 |
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 |
|
|
|
1766351879789346816 |
2015 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351882444341248 |
2015 |
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 |
|
|
|
1766351883156324352 |
2016 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351883851530240 |
2016 |
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 |
|
|
|
1766351884490113024 |
2026 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351898890207232 |
2026 |
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 |
|
|
|
1766351899517255680 |
2027 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351900247064576 |
2027 |
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 |
|
|
|
1766351900888793088 |
2028 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351901652156416 |
2028 |
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 |
|
|
|
1766351902327439360 |
2029 |
Wastes and other residues |
90 |
Food waste |
Iowa |
Louisa County |
19115 |
Corn Belt |
287 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351903064588288 |