2039 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351836142370816 |
2029 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351821494812672 |
2040 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351837437362176 |
2015 |
Wastes and other residues |
80 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351840729890816 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351842025930752 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351843337699328 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351806682628096 |
2020 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351807981813760 |
2021 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351809249542144 |
2022 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351810542436352 |
2023 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351811848962048 |
2017 |
Wastes and other residues |
90 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351884998672384 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351886330363904 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351887687221248 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351889003184128 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351890339069952 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351869384327168 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351870701338624 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351872007864320 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351873315438592 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351874634547200 |
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 |
2039 |
Wastes and other residues |
80 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351875974627328 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351854261764096 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351855564095488 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351856897884160 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351858241110016 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351859529809920 |
2030 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351822807629824 |
2031 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351824091086848 |
2032 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351825387126784 |
2033 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351826706235392 |
2034 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351827975012352 |
2015 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351801490079744 |
2016 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351802801848320 |
2017 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351804119908352 |
2022 |
Wastes and other residues |
90 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351893330657280 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351894645571584 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351895989846016 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351897294274560 |
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 |
2026 |
Wastes and other residues |
90 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351898705657856 |
2035 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351830915219456 |
2036 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351832187142144 |
2037 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351833491570688 |
2038 |
Wastes and other residues |
70 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351834822213632 |
2018 |
Wastes and other residues |
80 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351846358646784 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351847681949696 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351848967503872 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351850276126720 |
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 |
2022 |
Wastes and other residues |
80 |
Food waste |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351851657101312 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351862516154368 |
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 |
Florida |
Sumter County |
12119 |
Southeast |
2,601 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351863783882752 |
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 |