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DSNY Frequencies
Citywide DSNY frequency boundaries for collection operation (refuse, recycling, organics, bulk items). These boundaries are sub-divisions of DSNY sections.
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DSNY Districts
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This dataset contains a shape file of DSNY Districts. For operations management, the NYC Department of Sanitation (DSNY) divides the City into seven operation zones (Manhattan, Bronx, Brooklyn North, Brooklyn South, Queens West, Queens East, and Staten Island). These zones are further divided into 59 Sanitation Districts. The boundary for each DSNY district is congruent with NYC Community District boundaries.
DSNY Districts With Disposal Vendor Assignments
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The vendors used to discard various materials (refuse, paper, metal/glass/plastic, bulk metal, and organics) collected in DSNY districts.
DSNY Litter Basket Inventory
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Please note: The data infrastructure for this dataset is being updated. The dataset currently posted is accurate as of April 2024 Locations and types of refuse litter baskets tracked by DSNY. This data is collected through periodic surveys by DSNY field personnel. Each record represents the approximate location, ownership, and physical type of a single refuse litter basket. Litter basket locations are subject to frequent change, for reasons that include but are not limited to: litter basket damage, nearby construction, graffiti, or regular illegal use of basket for household or commercial waste. There is often a lag time between a change in basket type or location and the reflection of that change in this dataset. This dataset includes information on BID-owned and Privately-owned litter baskets. Non-profit and private entities wishing to place a litter basket on a public street must receive permission from the Department of Sanitation. Location data for these baskets may be less accurate than for baskets that are owned by DSNY. This dataset does not track public litter baskets placed by other City, State, or Federal agencies, notably the NYC Department of Parks and Recreation. Recycling baskets are also not tracked in this dataset.