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Data from NYC Open Data via the Socrata Discovery API. Quality scores are computed from a sample and are indicative, not authoritative.
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2020 Census Blocks (water areas included)

wrzv-t2c4City Government9 columns
Census Blocks from the 2020 US Census for New York City including portions under water. These boundary files are derived from the US Census Bureau's TIGER project and have been geographically modified to fit the New York City base map. All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE . Current version: 26b
View on NYC Open Data↗

Quality

B88.2 / 100

From a 500-row sample across 9 columns.

completeness100/ 25% weight
consistency61/ 20% weight
accuracy99/ 20% weight
timeliness88/ 15% weight
usability90/ 20% weight
  • · No obvious temporal column — limits time-series joins
  • · Has geographic keys — joinable to other NYC datasets

Related datasets

  • 2020 Census Blocks0.84
    joins onct2020geoidshape_area+6
  • 2020 Census Tracts (water areas included)0.84
    joins onct2020geoidshape_area+4
  • 2020 Census Tracts0.67
    joins onct2020geoidshape_area+4
  • 2020 Community District Tabulation Areas (CDTAs)0.57
    joins onshape_areathe_geomboroname+2

Geography

Has borough codes (`boroname`) — joinable, but needs boundary shapes to draw.

Sample rows

the_geomcb2020borocodeboronamect2020bctcb2020geoidshape_lengshape_area
{"type":"MultiPolygon","coordinates":[[[[-74.03995040788483,40.700890630140314],[-74.03945262913307,40.70053315982393],[-74.03938278118818,40.70057769405891],[-74.03771124796636,40.699344040347924],[-74.03809786214774,40.69903950524439],[-74.03822954445361,40.6983685911953],[-74.03900043878028,40.69836989039119],[-74.0393403767015,40.69811551483615],[-74.03993272132986,40.69854442279383],[-74.04025555083275,40.698804823307505],[-74.04124261832222,40.69953674143504],[-74.04174768868015,40.69914786356682],[-74.03991248872623,40.69770204039857],[-74.04166051914841,40.69645297163992],[-74.04367371230778,40.698020404330265],[-74.04363686211197,40.69804823269846],[-74.04365651062231,40.698064091088085],[-74.04270395810691,40.69880060008429],[-74.04296505227515,40.698999361822366],[-74.0410986123707,40.70049294338984],[-74.04080080646241,40.70026854992668],[-74.04031250973499,40.70062574868981],[-74.0403910438396,40.700687376209025],[-74.04041179161338,40.7006784841188],[-74.04053637732183,40.70078209427262],[-74.04048062485343,40.70082061467023],[-74.04034955330646,40.70071601865479],[-74.0403651116708,40.70070416734808],[-74.04028808803947,40.70064361346732],[-74.03995040788483,40.700890630140314]]]]}

Columns

9 queryable · 8 profiled

The machine field names SoQL needs, with the publisher's own description of each.

FieldTypeDescriptionNullValues
the_geomunknown———
cb2020text2020 census block number.0%100010012000
borocodecategoricalBorough code for the borough in which the census block is located.0%432of 5
boronamecategoricalBorough Name.0%QueensBrooklynBronxof 5
ct2020text2020 census tract number.0%

Query this from your own app

GET /api/datasets/wrzv-t2c4
GET /api/datasets/wrzv-t2c4/quality
GET /api/datasets/wrzv-t2c4/related
GET /api/columns?dataset=wrzv-t2c4
Fire Divisions
0.57
joins onshape_areathe_geomshape_leng
  • 2020 Public Use Microdata Areas (PUMAs)0.55
    joins onshape_areathe_geomshape_leng
  • Borough Boundaries (water areas included)0.55
    joins onshape_areathe_geomboroname+2
  • City Council Districts0.53
    joins onshape_areathe_geomshape_leng
    • 1000
    1
    Manhattan
    000100
    10001001000
    360610001001000
    6627.8582584
    1204254.84417
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    013800002100019800
    bctcb2020textMerged string value of the BoroCode, 2020 census tract number, and 2020 census block number.0%200600020093027500400020077001001
    geoidtextFull Census Block number including the FIPS state and county code0%360050351003008360810884008000360470170003003
    shape_lengfloatLength of feature in internal units.0%1743.338446891892.680736912791.63209985
    shape_areafloatArea of feature in internal units squared.0%45694.8385835118811.309001202828.224093