Glossary
National Flood Hazard Layer
National Flood Hazard Layer is FEMA's compiled geospatial product of current effective flood hazard data — flood hazard zones, FIRM panels, LOMAs/LOMRs, base flood elevations and levees — served as hosted feature layers. Datadory's catalog of 1,744 datasets documents it directly in FEMA NFIP Geospatial Hub.
What is National Flood Hazard Layer?
FEMA's compiled geospatial product of current effective flood hazard data — flood hazard zones, FIRM panels, LOMAs/LOMRs, base flood elevations and levees — served as hosted feature layers.
The NFHL Map Service carries 33 layers and its digital data covers over 90% of the U.S. population, updated weekly.
In this catalog it appears concretely: - FEMA NFIP Geospatial Hub — "33 layers in the NFHL Map Service".
Why does National Flood Hazard Layer matter when choosing a dataset?
A label on a listing is not a deliverable. Teams that license on the strength of a product-name match routinely find the shipped files cover a narrower slice than they assumed, and backfilling history afterwards costs more than the license ever did.
The failure mode is concrete: a source can carry the National Flood Hazard Layer label while differing from what you need on exactly the dimension that matters — full KML export ~44MB, GeoJSON ~52MB, Shapefile ~38MB for the Flood Hazard Zones layer set. Comparing two sources on that line usually settles the choice faster than any feature matrix.
You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and FEMA NFIP Geospatial Hub lets you inspect the real artifact before any budget is committed.
How do you evaluate National Flood Hazard Layer in a data source?
Treat every claim of this attribute as testable:
- Open FEMA NFIP Geospatial Hub and confirm its record — "33 layers in the NFHL Map Service" — against the files you actually receive.
- Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
- Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
- Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.
See the term applied to real records: property-casualty-insurance data.
Related terms
Adjacent concepts worth reading next: - arcgis rest api - firm panels - flood hazard zones - loma lomr - National Flood Insurance Program
Frequently asked questions
What is an example of National Flood Hazard Layer?
FEMA NFIP Geospatial Hub is the clearest example in this catalog. Its record states: "33 layers in the NFHL Map Service". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.
Is data described as "National Flood Hazard Layer" free to use?
Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.
Datasets containing this field
Datasets containing National Flood Hazard Layer
6 datasets carry national flood hazard layer in the catalog. Open one, count the fields, judge for yourself.
NOAA NCEI Billion-Dollar Weather and Climate Disasters
Name · Disaster · Begin Date …+8 more
NOAA NCEI Billion-Dollar Disasters Time Series
Year · Disaster type · Event count …+3 more
III Homeowners and Renters Insurance Statistics Data
State · Average premium · Rank …+9 more
BookCorpus Dataset
text
Data.gov.uk Insurance Search
title · publisher · updated …+8 more
Every listing shows the field dictionary, sample rows, and coverage before you commit. API, files, or your warehouse. Daily, weekly, or hourly.
Get sample rows