2039 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351836504129536 |
2028 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351820555288576 |
2040 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351837813800960 |
2015 |
Wastes and other residues |
80 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351841094795264 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351842381398016 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351843712040960 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351807046483968 |
2020 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351808338329600 |
2021 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351809629126656 |
2022 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351810898952192 |
2023 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351812208623616 |
2017 |
Wastes and other residues |
90 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351885365673984 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351886725677056 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351888073097216 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351889369137152 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351890718654464 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351869762863104 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351871063097344 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351872364380160 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351873671954432 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351874986868736 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351853311754240 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351854625619968 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351855941582848 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351857270128640 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351858591334400 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351859894714368 |
2029 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351821857619968 |
2030 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351823169388544 |
2031 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351824465428480 |
2032 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351825753079808 |
2033 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351827060654080 |
2034 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351828368228352 |
2015 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351801856032768 |
2016 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351803164655616 |
2022 |
Wastes and other residues |
90 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351893694513152 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351895019913216 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351896356847616 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351897666519040 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351831271735296 |
2036 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351832570920960 |
2037 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351833860669440 |
2038 |
Wastes and other residues |
70 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351835231158272 |
2018 |
Wastes and other residues |
80 |
Food waste |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351846739279872 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351848039514112 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351849335554048 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351850674585600 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351862871621632 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351864161370112 |
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 |
Michigan |
Hillsdale County |
26059 |
Lake States |
1,170 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351865442729984 |
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 |