DOI: 10.3886/e218442v2
title: FEMA National Flood Insurance Program Data

description: The National Flood Insurance Program (NFIP) aims to reduce the impact of flooding on private and public structures.<br><br>The redacted claims dataset provides details on NFIP claims transactions. It is derived from the NFIP system of record, staged in the NFIP reporting platform and redacted to protect policy holder personally identifiable information. This dataset represents more than 2,000,000 claims transactions. In order to improve accessibility, we have one compressed file. <br><br>The Reinsurance data set was developed in support of FEMA reinsurance placement. We are sharing some of the reinsurance placement information with the general public, because it is important for the nation to more clearly understand our shared flood risk. The data and information was derived in part using catastrophic flood risk models developed by AIR-Worldwide and RMS, two well known risk model developers. That information may also be useful for the insurance industry, academics, and others in understanding and studying flood risk within the United States. FEMA looks to continue to foster strong private-public partnerships as FEMA, the public, academia, and the private sector work together to improve flood resiliency in the United States.<br><br>The Community Layer datasets contain geospatial community boundaries associated with Census and NFIP data. The dataset does not contain personal identifiable information (PII). The Community Layer can be used to tie Community ID numbers (CID) to jurisdiction, tribal, and special land use area boundaries. A geodatabase (GDB) link is Included in the Full Data section below. The compressed file contains a collection of files that can store, query, and manage both spatial and nonspatial data using software that can read such a file. It <b>contains all of the community layers</b>, not just the layer for which this dataset page describes.<br><br>The No Overlaps Whole Community Layer dataset is a variation on the Comprehensive Community Layer dataset, but flattened, with multi-county communities not split by county lines. "Flattened" means that there are no overlaps; larger shapes like counties are "punched out" or "clipped" where smaller communities are contained within them. This allows for choropleth shading and other mapping techniques such as calculating unincorporated county land area. Multicounty cities like Houston are a single feature, undivided by counties. This layer is derived from Census, State of Maine, and National Flood Hazard Layer political boundaries.<br><br>The No Overlaps Split Community Layer Dataset is a variation on the Comprehensive Community Layer dataset, but flattened, with multi-county communities split by county lines. "Flattened" means that there are no overlaps; larger shapes like counties are "punched out" or "clipped" where smaller communities are contained within them. This allows for choropleth shading and other mapping techniques such as calculating unincorporated county land area. Multicounty cities like Houston are split by county lines, allowing easier county summarization and alignment with certain NFIP statistics. This layer is derived from Census, State of Maine, and National Flood Hazard Layer political boundaries.<br><br>The NFIP Community Status Book dataset contains the current NFIP status of a community which determines whether citizens have the opportunity to purchase flood insurance as well as qualify for disaster assistance. In addition, this dataset provides the available insurance discount rates for communities that participate in the Community Rating System (CRS).<br><br>The Multiple Loss Properties dataset contains NFIP-insured structures that fall within the four categories of Repetitive Loss and Severe Repetitive Loss that FEMA tracks. Definitions of these categories are provided in the field descriptions. There are also fields to show whether a structure is currently NFIP-insured, has been mitigated, and other characteristics. The data includes properties that have since been mitigated or demolished and may no longer considered to be in any of the listed categories.<br><br><br><br>