View current and past inspection outcomes, including violations noted for restaurants in the City of Norfolk.

This dataset contains information about circulation (checkouts) by item type for each Norfolk Public Library branch location by month. The data begins July 2016 and is updated monthly.

This dataset provides data about the assets that are managed by the Division of Fleet Management. Assets fall into two categories: vehicle or equipment.

Fleet Management uses a point system that considers a variety of factors to determine which assets are recommended for replacement. An asset with 15 points or higher is recommended for replacement.

First, a caveat: the NFIP data does NOT provide information specific to individual homes or parcels. This information is protected under federal law. All personal identifying information about policy holders has been redacted, and data has been anonymized to census tract, reported ZIP code, and one decimal point digit of latitute and longitude. If mapped, flood insurance policies and claims may appear to be clustered at a particular location due to this anonymization.
What all that means: you cannot search for an address to see whether it has flooded.
However, among many things, this data shows flooding trends in Norfolk over the last 40+ years. It shows the census tracts that flood most frequently. And it shows where the largest number and highest value of claims occur.

FEMA believes this historic release of NFIP data promotes transparency, reduces complexity related to public data requests, and improves how stakeholders interact with and understand the program. This is the largest, most comprehensive release of NFIP data coordinated by FEMA to date. This dataset allows for customizable searches to create reports, analyze and visualize present and historical NFIP data faster and easier than before.
This data will help FEMA build a national culture of preparedness by providing claims and policy information people need to make better choices about their flood risk and the insurance they need to protect the life they've built.
Norfolk's Open Data team extracted city-specific information from the FEMA dataset. The dataset included here represents almost 6,000 claims on record from 1977 through 2019, totaling 67 million dollars in damage in the City of Norfolk.

This dataset contains information about Norfolk Public Library active users by month starting in July 2016. This information will be updated annually. Active users include users whose accounts have had any activity during the previous three years including card renewal, fines added, payments made, or computer usage. This dataset is updated monthly.

The data for this report is derived from PeopleSoft Reporting, which includes the following fields, with one row per current active employee:
Annual Rate
Department ID
Ethnic Group
Full/Part Time Status
Gender
Job Title
Reg/Temp Status
Rehire Date

This dataset summarizes the city’s various revenue sources. The revenue dataset reflects money coming into the city; some examples include real estate tax payments, state aid and parking fine collections. The city’s financial system, where revenue collections are recorded daily, is the source for this data.

This data also contains current budget information based on the revenue budget adopted by City Council ahead of each fiscal year. This budget allows city staff to monitor and track revenue collections during the year. The data set includes the current fiscal year and two previous fiscal years.

*Disclaimer: Revenues will reflect the previous fiscal year’s activity until final entries have been made and the accounting period has been closed.

This data is updated daily on weekdays.

The Community Appearance Index, also known as the Litter Index, is a tool designed by Keep America Beautiful to visually evaluate the overall appearance of a community using litter as an indicator. Every year, 60 routes throughout the five wards of Norfolk are analyzed to determine the cleanliness of the city. After a thorough training, a team of volunteers conduct the analysis using a scoring system ranging from 1-4 with “1” indicating minimal to no litter and “4” indicating extremely littered. Methodology for this process includes recruiting volunteers who commit to attend a one-and-a-half-day Community Appearance Index scan. Each volunteer is thoroughly trained on the index to accurately and consistently survey a statistical sample of the city. The results of the scan are then averaged to produce the City of Norfolk Community Appearance Index score.

This dataset is updated annually; the data begins in 2010. The Litter Index survey is normally conducted in August; the 2020 survey will be delayed due to COVID-19.