social-vulnerability-index-minority·dataset
Social Vulnerability: Minority Status and Language
Social Vulnerability Index (Minority)
land NASA VEDA COG
In plain English
What it measures. Ranks neighborhoods by vulnerability tied to minority status and limited English proficiency. 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.
How & where you'd use it. Helps responders reach communities that may face language or access barriers during disasters.
What's measured
socialvulnerabilityindexminority
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
Minority Status & Language (Minority, Speaks English “Less than Well”) - Percentile ranking
Get the data
# 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-minority")
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).
Official links
- Open data source VEDA