Graph and download economic data for Housing Inventory Estimate: Vacant Housing Units in the United States (EVACANTUSQ176N) from Q2 2000 to Q2 2025 about vacancy, inventories, housing, and USA.

Vacant property owned and managed by the City of Chicago Department of Housing and Economic Development. Information provided in the database, or on the City’s website generally, should not be used as a substitute for title research, title evidence, title insurance, real estate tax exemption or payment status, environmental or geotechnical due diligence, or as a substitute for legal, accounting, real estate, business, tax or other professional advice. The City assumes no liability for any damages or loss of any kind that might arise from the reliance upon, use of, misuse of, or the inability to use the LIS database or the City’s web site and the materials contained on the website. The City also assumes no liability for improper or incorrect use of materials or information contained on its website. All materials that appear in the LIS database or on the City’s web site are distributed and transmitted "as is," without warranties of any kind, either express or implied as to the accuracy, reliability or completeness of any information, and subject to the terms and conditions stated in this disclaimer.

A list of the houses in Syracuse that have been identified as being vacant with the Department of Neighborhood & Business Development (NBD). This dataset also includes information about whether the home or business is on the Vacant Property Registry.Data Dictionary:LabelDefinitionDefinition SourceSBLTax map ID (Section, Block, Lot)Department of Neighborhood & Business Development (NBD)Property AddressParcel street addressDepartment of Neighborhood & Business Development (NBD)ZipParcel zip codeDepartment of Neighborhood & Business Development (NBD)VacantIs this a vacant structure monitored by DOCE? (“Residential,” or “Commercial” = Yes; Null = No)Department of Neighborhood & Business Development (NBD)OwnerParcel assessed owner nameDepartment of Neighborhood & Business Development (NBD)Owner AddressParcel assessed owner addressDepartment of Neighborhood & Business Development (NBD)VPR ValidDoes this property have a valid Vacant Property Registry certificate? (“Y”, “N”)Department of Neighborhood & Business Development (NBD)VPR StatusStatus of last VPR record (“Terminated,” Valid - Year 1,” “Valid - Year 2,” Valid - Year 3, Valid - Year 4+, “Exempt at this time”)Department of Neighborhood & Business Development (NBD)VPR Completion DateVacant Property Registry certificate issuance dateDepartment of Neighborhood & Business Development (NBD)VPR Completion TypeVacant Property Registry plan type(“VPR Cert Issued - Plan A,” “VPR Cert Issued - Plan B,” “VPR Cert Issued - Plan C”)Department of Neighborhood & Business Development (NBD)LatitudeLatitude of this parcel.Department of Neighborhood & Business Development (NBD)LongitudeLongitude of this parcel.Department of Neighborhood & Business Development (NBD)Dataset Contact Information:Organization: City of SyracusePosition:Data Program ManagerCity:Syracuse, NYE-Mail Address:opendata@syrgov.net

A vacant building is defined as "a structure that is unoccupied for more than thirty (30) days, unsecured or secured by other than normal means, illegally occupied, or poses an imminent danger to the health and safety of the surrounding residents, properties or the general public." Buildings that meet this definition must be registered with BSEED as Vacant Properties.

United States Number of Housing Unit: Vacant: Year Round: Other Reasons data was reported at 4,146.000 Unit th in Jun 2018. This records an increase from the previous number of 4,006.000 Unit th for Mar 2018. United States Number of Housing Unit: Vacant: Year Round: Other Reasons data is updated quarterly, averaging 2,142.500 Unit th from Mar 1965 (Median) to Jun 2018, with 214 observations. The data reached an all-time high of 4,146.000 Unit th in Jun 2018 and a record low of 931.000 Unit th in Dec 1970. United States Number of Housing Unit: Vacant: Year Round: Other Reasons data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB011: Number of Housing Units. Series Remarks1. Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980.2. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes.3. Data for 1993 Q1 to Q4 was revised based on the 1990 Census.4. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

Graph and download economic data for Housing Inventory Estimate: Year-Round Vacant Housing Units in the United States (EYRVACUSQ176N) from Q2 2000 to Q2 2025 about vacancy, inventories, housing, and USA.

Foreclosed rental properties registered with the Chicago Department of Housing under the Keep Chicago Renting ordinance.

Prior to 12/12/2022, Owner and Owner Management Agent addresses could not be registered through the registration site so no City, State, or ZIP columns were present in this dataset. Because all previously existing records had Chicago addresses for Owner and Owner Agent, the City and State columns were populated when added to this dataset but ZIP values are only available from 12/12/2022 forward.

The Property Address is always in Chicago.

Overview

These data contain city-owned properties from the eProperties Plus database. The data describe basic aspects of the property (square footage, location, identification, etc.) and its geographically based assignment of various components of city infrastructure (police zone, council district, etc.).

Motivation

These data are useful for anyone (e.g., the URA) in identifying properties that are unused throughout the city.

Collection

These data are taken directly from the city's property management system (EProperty) database, one of several independent systems used by the City to track property-level data.

Preprocessing

The latitude and longitude for these properties have to be geocoded from the parcel identifier (that is, the latitude and longitude are not contained in the source data). The various geographic zones (police zone, etc.) are then reverse geocoded from the derived coordinates. The parcel identifiers in the source data can follow several syntax conventions. The original city-formatted parcel identifier is in the parc field, and the normalized version (using a uniform 16-character format) is in the pin field. The id and census_tract fields are categorical/not intended for mathematical operations and are therefore converted to strings.

Known Uses

The URA uses this data for vacant-property identification.

Recommended Uses

Users can analyze the location of city-owned vacant properties and the property size/classification. These can be used to understand zonal conditions (e.g., neighborhood conditions), concentrations of vacant land spanning zones (across two police zones), etc.

Care should be taken, however, when inferring socioeconomic attributes, city resource allocation, or other higher level variables of interest. There may be a link between vacant land and these factors, but the complexities of city operations and high-order variables can be influenced by lurking/hidden/latent variables. It could be advantageous to consider multivariate models and/or construction of component variables (e.g., using PCA or Factor Analysis).

The city is in the process of publishing other property-based datasets (all city-owned properties, treasury sale properties, condemned properties, and tax-delinquent properties). The city also publishes information on PLI code enforcement violations/permit applications which could be informative of property conditions in a given area.

Known Limitations/Biases

These data describe only city-owned properties (not privately held properties). The city is currently (2023) overhauling its property management databases. These data represent the best descriptions of city-owned vacant properties that are currently available.

According to a survey conducted in Japan in December 2020, the majority of respondents stated that they had never heard of databases listing vacant houses or vacant land, also referred to as "akiya banks" or "akichi banks." Akiya or akichi banks are often run by local governments to promote the sales of empty and abandoned houses and land. Although the increasing number of vacant dwellings, especially in rural areas of Japan, has received much attention, only ** percent of the respondents knew akiya or akichi banks.

Property currently or historically owned and managed by the City of Chicago. Information provided in the database, or on the City’s website generally, should not be used as a substitute for title research, title evidence, title insurance, real estate tax exemption or payment status, environmental or geotechnical due diligence, or as a substitute for legal, accounting, real estate, business, tax or other professional advice. The City assumes no liability for any damages or loss of any kind that might arise from the reliance upon, use of, misuse of, or the inability to use the database or the City’s web site and the materials contained on the website. The City also assumes no liability for improper or incorrect use of materials or information contained on its website. All materials that appear in the database or on the City’s web site are distributed and transmitted "as is," without warranties of any kind, either express or implied as to the accuracy, reliability or completeness of any information, and subject to the terms and conditions stated in this disclaimer.

The following columns were added 4/14/2023:

• Sales Status
• Sale Offering Status
• Sale Offering Reason
• Square Footage - City Estimate
• Land Value (2022) -- Note: The year will change over time.

The following columns were added 3/19/2024:

• Application Use
• Grouped Parcels
• Application Deadline
• Offer Round
• Application URL

The Detroit early childhood interactive map contains data relating to early childhood and education. It is meant to help stakeholders better understand the early childhood landscape better. This is the Housing Group.

United States Number of Housing Unit: Vacant: Year Round: Held Off Market data was reported at 7,467.000 Unit th in Sep 2018. This records a decrease from the previous number of 7,548.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Year Round: Held Off Market data is updated quarterly, averaging 4,691.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 7,700.000 Unit th in Jun 2014 and a record low of 1,764.000 Unit th in Jun 1965. United States Number of Housing Unit: Vacant: Year Round: Held Off Market data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

The percent of properties that are classified as being vacant and abandoned that are owned by Baltimore City. Baltimore City has come to own these properties through a variety of ways including (but not limited to) eminent domain, unpaid tax or water bills, and direct purchase. Source: Baltimore City Department of Housing and Community Development Years Available: 2011, 2012, 2013, 2017, 2018, 2019, 2020, 2021, 2022, 2023

The percentage of residential properties that have been classified as being vacant and abandoned by the Baltimore City Department of Housing out of all properties. Properties are classified as being vacant and abandoned if: the property is not habitable and appears boarded up or open to the elements; the property was designated as being vacant prior to the current year and still remains vacant; and the property is a multi-family structure where all units are considered to be vacant. Source: Baltimore City Department of Housing and Community Development Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

Housing Inventory Estimate: Vacant Housing Units for Rent in the United States was 3538.00000 Thous. of Units in January of 2025, according to the United States Federal Reserve. Historically, Housing Inventory Estimate: Vacant Housing Units for Rent in the United States reached a record high of 4625.00000 in July of 2009 and a record low of 2491.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory Estimate: Vacant Housing Units for Rent in the United States - last updated from the United States Federal Reserve on August of 2025.

United States Number of Housing Unit: Vacant: Year Round data was reported at 13,220.000 Unit th in Sep 2018. This records an increase from the previous number of 13,103.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Year Round data is updated quarterly, averaging 9,099.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 14,491.000 Unit th in Jun 2010 and a record low of 4,255.000 Unit th in Dec 1970. United States Number of Housing Unit: Vacant: Year Round data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

United States Number of Housing Unit: Vacant: Year Round: For Sale Only data was reported at 1,163.000 Unit th in Jun 2018. This records an increase from the previous number of 1,161.000 Unit th for Mar 2018. United States Number of Housing Unit: Vacant: Year Round: For Sale Only data is updated quarterly, averaging 1,003.000 Unit th from Mar 1965 (Median) to Jun 2018, with 214 observations. The data reached an all-time high of 2,277.000 Unit th in Mar 2008 and a record low of 358.000 Unit th in Jun 1969. United States Number of Housing Unit: Vacant: Year Round: For Sale Only data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

Map of percent of housing units vacant in 2019, by census tract. Map created in ESRI Business Analyst.Source: ESRI Business Analyst, 2019 estimatesData Source Methodology: https://downloads.esri.com/esri_content_doc/dbl/us/J10268_Methodology_Statement_2019-2024_Esri_US_Demographic_Updates.pdf

All 311 Service Requests from 2010 to present. This information is automatically updated daily.

NOTE, 6/28/2021: There are changes and correction in this dataset. See http://dev.cityofchicago.org/open%20data/data%20portal/2021/06/28/vacant-abandoned.html for details. -- Vacant and abandoned building violations issued on properties owned by financial institutions since January 1, 2011. Each violation is tied to a Docket Number. A Docket may have more than one violation associated with it. Fees are assessed based on all violations associated with a particular Docket. This dataset displays the most recent action (disposition description) for each violation, the fees and fines associated with the docket and the amount paid or outstanding for the docket. If the docket is a City Non-Suit or the owner is found to be Not Liable, then no payment is required. Note that multiple addresses may be associated with a violation; in these cases, multiple records will be included in this dataset for a single violation. / Data Owners: Administrative Hearings / Finance / Time Period: January 1, 2011 to present / Update Frequency: Data is updated daily