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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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Heat Vulnerability Index Rankings

4mhf-duepHealth2 columns
The Heat Vulnerability Index (HVI) shows neighborhoods whose residents are more at risk for dying during and immediately following extreme heat. It uses a statistical model to summarize the most important social and environmental factors that contribute to neighborhood heat risk. The factors included in the HVI are surface temperature, green space, access to home air conditioning, and the percentage of residents who are low-income or non-Latinx Black. Differences in these risk factors across neighborhoods are rooted in past and present racism. Neighborhoods are scored from 1 (lowest risk) to 5 (highest risk) by summing the following factors and assigning them into 5 groups (quintiles): Median Household Income (American Community Survey 5 year estimate, 2016-2020) Percent vegetative cover (trees, shrubs or grass) (2017 LiDAR, NYC DOITT) Percent of population reported as Non-Hispanic Black on Census 2020 Average surface temperature Fahrenheit from ECOSSTRESS thermal imaging, August 27,2020 Percent of households reporting Air Conditioning access, Housing ad Vacancy Survey, 2017
View on NYC Open Data↗

Quality

B84.7 / 100

From a 184-row sample across 2 columns.

completeness100/ 25% weight
consistency50/ 20% weight
accuracy100/ 20% weight
timeliness84/ 15% weight
usability85/ 20% weight
  • · No obvious temporal column — limits time-series joins

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Sample rows

zcta20hvi
104651
103103
112035
112245
112125
112084
103043
100092
104585
104545

Columns

2 queryable · 2 profiled

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

FieldTypeDescriptionNullValues
zcta20textZCTAs are a geographic product of the U.S. Census Bureau created to allow mapping, display, and geographic analyses of the United States Postal Service (USPS) ZIP Codes.0%103101001611203
hvicategoricalQuintiles of heat vulnerability index, a measure of neighborhood risk of dying on extreme heat days.0%512of 5

Query this from your own app

GET /api/datasets/4mhf-duep
GET /api/datasets/4mhf-duep/quality
GET /api/datasets/4mhf-duep/related
GET /api/columns?dataset=4mhf-duep