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New York City's Flood Vulnerability Index

mrjc-v9pmEnvironment9 columns
The Flood Vulnerability Index (FVI) assesses the distribution of vulnerability to flooding across NYC in order to guide flood resilience policies and programs. Vulnerability contains three components: exposure to a hazard, susceptibility to harm from the exposure, and capacity to recover (Cutter et al., 2009). There are six hazard-specific FVIs, one for each of the six different flood hazard scenarios, which include current and two future storm surge scenarios and current and two future tidal flooding scenarios. Exposures vary for different types of flooding and different scenarios within each flood type. Each FVI consists of two component sub-indices: an exposure index and an index that reflects susceptibility to harm and capacity to recover. The exposure index is different in each FVI in order to capture the different exposures to each of the flood hazard scenarios. The sub-index that reflects susceptibility to harm and capacity to recover -- the Flood Susceptibility to Harm and Recovery Index (FSHRI) -- is the same for each FVI. It aggregates 12 socio-economic indicators correlated with various types of hardships that people may suffer due to flooding and different dimensions of ability to recover. For additional information, please visit this link .
View on NYC Open Data↗

Quality

C70.7 / 100

From a 500-row sample across 9 columns.

completeness40/ 25% weight
consistency56/ 20% weight
accuracy100/ 20% weight
timeliness84/ 15% weight
usability85/ 20% weight
  • · No obvious temporal column — limits time-series joins

Related datasets

  • New York City Climate Projections: Temperature and Precipitation0.32
  • Water and Sewer Permits0.31
  • Water and Sewer Permits (Historic)0.30
  • NYC Climate Budgeting Report: Resiliency Exposure Forecast - Coastal Flooding0.30
  • Watershed Water Quality Data0.29
  • NYC Climate Budgeting Report: Resiliency Exposure Inventory0.29
  • Local Law 84 Monthly Data (Calendar Year)0.29
  • NYC Climate Budgeting Report: Resiliency Exposure Forecast - Outdoor Heat

Sample rows

the_geomgeoidfshriss_80sss_curss_50stid_80s
{"type":"MultiPolygon","coordinates":[[[[-73.998594,40.642585000000004],[-73.998011,40.643147000000006],[-73.997734,40.643409999999996],[-73.997426,40.64370599999999],[-73.996844,40.644265999999995],[-73.996266,40.64482699999999],[-73.994077,40.643503],[-73.991929,40.642205000000004],[-73.992644,40.641727999999986],[-73.994077,40.64076999999999],[-73.994331,40.64059999999999],[-73.994795,40.640288],[-73.99551,40.63980999999999],[-73.996974,40.640693999999996],[-73.999176,40.642025999999994],[-73.998594,40.642585000000004]]]]}360470112005————
{"type":"MultiPolygon","coordinates":[[[[-74.001302,40.611067999999996],[-74.001073,40.61183],[-74.000911,40.612387999999996],[-74.000739,40.61255500000001],[-73.99958,40.613669],[-73.997171,40.61221499999999],[-73.998313,40.61108400000001],[-73.996338,40.609894],[-73.996922,40.609334999999994],[-73.99750300000001,40.608775],[-73.999454,40.60995],[-74.000021,40.60938599999999],[-74.000935,40.608636999999995],[-74.002665,40.60957],[-74.001302,40.611067999999996]]]]}

Columns

9 queryable · 8 profiled

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

FieldTypeDescriptionNullValues
the_geomunknownGeometry column used for mapping.——
geoidtextA unique identifier per geometric entity (Census Tract).0%360850207023600502300036047085600
fshricategorical“Flood Susceptibility to Harm and Recovery Index”, a base index resulting from the aggregation of selected socioeconomic indicators that was then combined with event-specific exposure assessments to generate the 6 different FVIs.0%354of 5
ss_curcategoricalFlood vulnerability index (FVI) for a storm surge event under current conditions (based on FEMA’s preliminary Special Flood Hazard Area).84%52

Query this from your own app

GET /api/datasets/mrjc-v9pm
GET /api/datasets/mrjc-v9pm/quality
GET /api/datasets/mrjc-v9pm/related
GET /api/columns?dataset=mrjc-v9pm
0.28
36047027600
5
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—
—
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{"type":"MultiPolygon","coordinates":[[[[-74.010519,40.606992],[-74.009381,40.608084999999996],[-74.009078,40.608377999999995],[-74.007619,40.60978],[-74.007311,40.61007699999999],[-74.006014,40.611324999999994],[-74.003425,40.609969],[-74.004855,40.608594000000004],[-74.006625,40.606894999999994],[-74.008369,40.60521699999999],[-74.010823,40.606700999999994],[-74.010519,40.606992]]]]}360470180005————
{"type":"MultiPolygon","coordinates":[[[[-74.01665100000001,40.645331],[-74.016086,40.64588199999999],[-74.015533,40.646418000000004],[-74.013741,40.645349],[-74.011484,40.643986],[-74.012066,40.643425],[-74.012649,40.642866000000005],[-74.013232,40.642305],[-74.013814,40.641745],[-74.01607,40.643109],[-74.017877,40.644201],[-74.01665100000001,40.645331]]]]}360470076005————
{"type":"MultiPolygon","coordinates":[[[[-73.890878,40.82863],[-73.890873,40.83013599999999],[-73.889912,40.83012399999999],[-73.888054,40.829502999999995],[-73.887613,40.829336999999995],[-73.88605,40.828085],[-73.886092,40.82769499999999],[-73.8864,40.827503],[-73.887895,40.826743],[-73.88885,40.82676800000001],[-73.890905,40.826788],[-73.890878,40.82863]]]]}360050121015————
{"type":"MultiPolygon","coordinates":[[[[-73.861769,40.85898899999999],[-73.861756,40.859645],[-73.861707,40.861242],[-73.861645,40.863106],[-73.861562,40.865550000000006],[-73.859613,40.865511999999995],[-73.858712,40.864252],[-73.858061,40.863041999999986],[-73.857566,40.861164],[-73.857353,40.859712],[-73.856638,40.858118999999995],[-73.861791,40.857983],[-73.861769,40.85898899999999]]]]}360050324005————
{"type":"MultiPolygon","coordinates":[[[[-73.873954,40.83423700000001],[-73.873799,40.835968],[-73.871102,40.835754999999985],[-73.8709,40.834645],[-73.870375,40.832405],[-73.870007,40.83082000000001],[-73.870903,40.830563],[-73.871794,40.830304999999996],[-73.872755,40.83002799999999],[-73.873193,40.82990499999999],[-73.873694,40.83196399999999],[-73.873841,40.832549],[-73.873954,40.83423700000001]]]]}3600500640055———
{"type":"MultiPolygon","coordinates":[[[[-73.96035,40.58730699999999],[-73.959347,40.587416999999995],[-73.958195,40.587543999999994],[-73.957126,40.587661],[-73.956193,40.587762],[-73.955227,40.587686],[-73.953252,40.587195],[-73.952454,40.588173],[-73.952276,40.587272],[-73.952783,40.587072000000006],[-73.951889,40.58593599999999],[-73.951238,40.584925],[-73.95398,40.585711999999994],[-73.954853,40.58562400000001],[-73.955726,40.585524],[-73.956676,40.58535799999999],[-73.959172,40.585139],[-73.960261,40.58503899999999],[-73.96035,40.58730699999999]]]]}3604706060055553
{"type":"MultiPolygon","coordinates":[[[[-73.908418,40.852644000000005],[-73.907333,40.85381600000001],[-73.90557,40.85578699999999],[-73.904727,40.85537000000001],[-73.903951,40.854974000000006],[-73.902988,40.854772999999994],[-73.903768,40.853913],[-73.904752,40.85282599999999],[-73.90605,40.851400999999996],[-73.906993,40.850370999999996],[-73.908411,40.85131899999999],[-73.909215,40.851800999999995],[-73.908418,40.852644000000005]]]]}360050241005————
{"type":"MultiPolygon","coordinates":[[[[-73.979209,40.61249699999999],[-73.977011,40.611173],[-73.976372,40.611769],[-73.974391,40.61057999999999],[-73.974184,40.609463],[-73.974031,40.608702],[-73.97591900000002,40.60849499999999],[-73.977774,40.608289],[-73.978699,40.60818799999999],[-73.979183,40.61074199999999],[-73.979474,40.612666],[-73.979209,40.61249699999999]]]]}360470434005————
4
of 5
ss_50scategoricalFlood vulnerability index (FVI) for a storm surge event under sea level conditions estimated for the 2050s (based on the future floodplains developed by the New York Panel on Climate Change).77%352of 5
ss_80scategoricalFlood vulnerability index (FVI) for a storm surge event under sea level conditions estimated for the 2080s (based on the future floodplains developed by the New York Panel on Climate Change).72%351of 5
tid_20scategoricalFlood vulnerability index (FVI) for a tidal flooding event under sea level conditions estimated for the 2020s (based on the daily tidal floodplains developed by the New York Panel on Climate Change).96%245of 5
tid_50scategoricalFlood vulnerability index (FVI) for a tidal flooding event under sea level conditions estimated for the 2050s (based on the daily tidal floodplains developed by the New York Panel on Climate Change).96%352of 5
tid_80scategoricalFlood vulnerability index (FVI) for a tidal flooding event under sea level conditions estimated for the 2080s (based on the daily tidal floodplains developed by the New York Panel on Climate Change).92%245of 5