2018 NFIRS Cincinnati Fire Department Incident Data
The National Fire Incident Reporting System (NFIRS) is a reporting standard that fire departments nationwide use to uniformly report on the full range of fire department activities. This dataset emcompasses all fire incidents reported to NFIRS that were responded to by the Cincinnati Fire Department in the year 2018.
Data Description: The National Fire Incident Reporting System (NFIRS) is a reporting standard that fire departments nationwide use to uniformly report on the full range of fire department activities. This dataset emcompasses all fire incidents reported to NFIRS that were responded to by the Cincinnati Fire Department in the year 2018.
Data Creation: NFIRS was created in 1976 to address the United State’s fire problem and is jointly managed by the U.S Fire Administration (USFA) and the National Fire Information Council (NFIC). Over the life of the system, all 50 states, more than 40 major metropolitan areas, and more than 15,000 fire departments have participated in NFIRS. Fore more information please visit: https://www.usfa.fema.gov/data/nfirs/about/index.html
Data Created By: The source of this data is the Cincinnati Fire Department.
Refresh Frequency: This dataset is static and posted annually.
Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).
Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad
Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.
Querying over HTTP
Splitgraph serves as an HTTP API that lets you run SQL queries directly on
this data to power Web applications. For example:
curl https://data.splitgraph.com/sql/query/ddn \
-H "Content-Type: application/json" \
See the Splitgraph documentation
for more information.