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social-vulnerability-index-housing-nopop·dataset

Social Vulnerability: Housing and Transportation (Unpopulated Areas Masked)

Social Vulnerability Index (Housing) (Masked)
land NASA VEDA COG
In plain English

What it measures. Ranks neighborhoods by housing and transport vulnerability, such as crowding, mobile homes, group housing, and lacking a vehicle, with unpopulated areas hidden. Areas are scored as a percentile from least to most vulnerable.

How it's made. Built from U.S. census and demographic data combined into a percentile ranking, with empty areas masked out.

How & where you'd use it. Helps responders find populated communities that may struggle to evacuate or shelter during disasters.

What's measured

socialvulnerabilityindexhousingnopop

Coverage & cadence

  • Time span2000-01-01 → 2018-12-31
  • Spatial extent-178.233, 18.908, -66.958, 71.383
  • FormatsCOG

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

Housing Type & Transportation (Multi-Unit Structures, Mobile Homes, Crowding, No Vehicle, Group Quarters) - Percentile ranking

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("social-vulnerability-index-housing-nopop")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).