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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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Hazard Mitigation Plan – Mitigation Actions Database (points)

t7k8-wj6bCity Government2 columns
New York City’s comprehensive effort to reduce or eliminate potential losses from the hazards described in the Hazard Specific section of the website. The map includes existing and completed mitigation actions that will minimize the effects of a hazard event on New York City’s population, economy, property, building stock, and infrastructure. It is the result of a coordinated effort by 46 New York City agencies and partners to develop and implement a broad range of inventive and effective ways to mitigate hazards. Point, line, polygon features and a table for the Mitigation Actions map on the Hazard Mitigation website: www.nychazardmitigation.com/all-hazards/mitigation/actions-map/ This table contains more information on each project: https://data.cityofnewyork.us/City-Government/Hazard-Mitigation-Plan-Mitigation-Actions-Database/veqt-eu3t
View on NYC Open Data↗

Quality

B87.4 / 100

From a 193-row sample across 2 columns.

completeness100/ 25% weight
consistency100/ 20% weight
accuracy100/ 20% weight
timeliness29/ 15% weight
usability90/ 20% weight
  • · No obvious temporal column — limits time-series joins
  • · Has coordinates — directly mappable, and joinable to other NYC datasets

Related datasets

  • Hazard Mitigation Plan - Mitigation Actions Database (Lines)0.84
    joins onthe_geomhmp_index
  • Hazard Mitigation Plan - Mitigation Actions Database (Polygons)0.80
    joins onthe_geomhmp_index
  • Hazard Mitigation Plan - Mitigation Actions Database0.47
    joins onhmp_index
  • ORR_polys0.27
    joins onthe_geom
  • ORR_lines0.26
    joins onthe_geom

Geography

Mappable — Socrata point column `the_geom`.

Open on the map →

Sample rows

the_geomhmp_index
{"type":"MultiPoint","coordinates":[[-73.93335568609898,40.811172988452306]]}MA.00622
{"type":"MultiPoint","coordinates":[[-73.8785709545288,40.78563177536122]]}MA.00141
{"type":"MultiPoint","coordinates":[[-73.88880969806084,40.79704431040179]]}MA.00147
{"type":"MultiPoint","coordinates":[[-74.0271482493715,40.64519916637223]]}MA.00793
{"type":"MultiPoint","coordinates":[[-73.85896236430463,40.78526352412929]]}MA.00794
{"type":"MultiPoint","coordinates":[[-73.92295990993865,40.79592697414323]]}MA.00795
{"type":"MultiPoint","coordinates":[[-74.07401618225835,40.62939876739802]]}

Columns

2 queryable · 1 profiled

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

FieldTypeDescriptionNullValues
the_geomcoordinate———
hmp_indextext—0%MA.00338MA.00880MA.00856

Query this from your own app

GET /api/datasets/t7k8-wj6b
GET /api/datasets/t7k8-wj6b/quality
GET /api/datasets/t7k8-wj6b/related
GET /api/columns?dataset=t7k8-wj6b
ORR_points
0.26
joins onthe_geom
  • NYC Climate Budgeting Report: Climate Funding Expense Highlights0.24
  • CDBG-DR Program Categories0.24
  • MA.00472
    {"type":"MultiPoint","coordinates":[[-73.98634401037465,40.709580233342]]}MA.00473
    {"type":"MultiPoint","coordinates":[[-73.9495191220593,40.739907782116234]]}MA.01032
    {"type":"MultiPoint","coordinates":[[-73.8165094058155,40.58643399604026]]}MA.00796