2039 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351836756836352 |
2039 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351836965502976 |
2028 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351820811141120 |
2028 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351821019807744 |
2040 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351838066507776 |
2040 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351838274125824 |
2015 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351841352744960 |
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 |
2015 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351841559314432 |
2016 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351842671853568 |
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 |
2016 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351842874228736 |
2017 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351843965796352 |
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 |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351844177608704 |
2018 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351806178263040 |
2019 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351807301287936 |
2019 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351807508905984 |
2020 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351808600473600 |
2020 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351808796557312 |
2021 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351809886027776 |
2021 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351810089451520 |
2022 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351811182067712 |
2022 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351811378151424 |
2023 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351812465524736 |
2023 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351812682579968 |
2017 |
Wastes and other residues |
90 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351885624672256 |
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 |
2017 |
Wastes and other residues |
90 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351885845921792 |
2018 |
Wastes and other residues |
90 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351886988869632 |
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 |
2018 |
Wastes and other residues |
90 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351887218507776 |
2019 |
Wastes and other residues |
90 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351888331046912 |
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 |
2019 |
Wastes and other residues |
90 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351888539713536 |
2020 |
Wastes and other residues |
90 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351889670078464 |
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 |
2020 |
Wastes and other residues |
90 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351889874550784 |
2021 |
Wastes and other residues |
90 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351890974507008 |
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 |
2021 |
Wastes and other residues |
90 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351891184222208 |
2034 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351870018715648 |
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 |
2034 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351870231576576 |
2035 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351871305318400 |
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 |
2035 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351871521325056 |
2036 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351872625475584 |
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 |
2036 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351872847773696 |
2037 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351873920466944 |
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 |
2037 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351874171076608 |
2038 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351875252158464 |
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 |
2038 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351875461873664 |
2023 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351853568655360 |
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 |
2023 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351853790953472 |
2024 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351854877278208 |
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 |
2024 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351855090139136 |
2025 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351856190095360 |
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 |
2025 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351856397713408 |
2026 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351857520738304 |
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 |
2026 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351857732550656 |
2027 |
Wastes and other residues |
80 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351858838798336 |
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 |
2027 |
Wastes and other residues |
80 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351859057950720 |
2029 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351822123958272 |
2029 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351822344159232 |
2030 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351823410561024 |
2030 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351823621324800 |
2031 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351824712892416 |
2031 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351824920510464 |
2032 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351825994252288 |
2032 |
Wastes and other residues |
70 |
Food waste |
South Dakota |
Bennett County |
46007 |
Northern Plains |
87 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351826201870336 |
2033 |
Wastes and other residues |
70 |
Food waste |
New York |
Suffolk County |
36103 |
North East |
37,960 |
dt |
0 |
0 |
0 |
|
0 |
Wastes |
Waste |
Food Waste |
NA |
MNSW |
SWST |
|
0 |
|
|
|
1766351827306020864 |