This dataset shows the locations of Residential Construction permits as extracted from the Accela database. The permits with a permit type of 'RESCON' are extracted and mapped on a daily basis. The geographic location is determined from a link to the city's address database. Some permits who do not have valid city addresses are located at 0,0, off the map. The issue date is extracted and shows the date at which the permit was paid. Currently, this data only shows the permits Issued after June 7, 2015, the date Accela went live. To view previous permits, see the layer CV_LOC_RESIDENTIAL_P.
This dataset contains existing and approved residential boundaries in Cary, NC. For additional information on properties check out our website. This dataset is updated as residential boundaries are changed.
What is Rental Data?
Rental data encompasses detailed information about residential rental properties, including single-family homes, multifamily units, and large apartment complexes. This data often includes key metrics such as rental prices, occupancy rates, property amenities, and detailed property descriptions. Advanced rental datasets integrate listings directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.
Additional Rental Data Details
The rental data is sourced from over 20,000 property managers via direct feeds and property management platforms, covering over 30 percent of the national rental housing market for diverse and broad representation. Real-time updates ensure data remains current, while verified listings enhance accuracy, avoiding errors typical of survey-based or scraped datasets. The dataset includes 14+ million rental units with detailed descriptions, rich photography, and amenities, offering address-level granularity for precise market analysis. Its extensive coverage of small multifamily and single-family rentals sets it apart from competitors focused on premium multifamily properties.
Rental Data Includes:
This web application provides information on existing residential associations in Tempe. Residential associations encompass both homeowner associations (HOA) and neighborhood associations (NA). Neighborhood associations are a voluntary organization of residents and/or property owners who work together to support or organize activities within their neighborhood. Homeowners Associations are legal entities that consist of property owners who maintain community common areas and oversee the management of the community. In addition to residential associations there is also several affiliate associations that are also displayed within the application.
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Address Residential Units. This dataset contains residential units and attributes of Address points, created as part of the Master Address Repository (MAR) for the D.C. Residential units can be condominiums or also apartments. Office of the Chief Technology Officer (OCTO) and DC Department of Consumer and Regulatory Affairs . It contains the addresses in the District of Columbia which are typically placed on the buildings. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc.
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Comprehensive dataset containing 24 verified Multi-unit residential building businesses in United States with complete contact information, ratings, reviews, and location data.
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United States Inventory: All Residential: Cleveland, OH data was reported at 4,981.000 Unit th in Jul 2020. This records a decrease from the previous number of 5,145.000 Unit th for Jun 2020. United States Inventory: All Residential: Cleveland, OH data is updated monthly, averaging 10,213.000 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 16,220.000 Unit th in May 2012 and a record low of 4,981.000 Unit th in Jul 2020. United States Inventory: All Residential: Cleveland, OH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB025: Inventory of Home for Sale: by Metropolitan Areas.
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Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Aug 2024 to Aug 2025 about headline figure, sales, housing, and USA.
The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded at the AWS S3 explorer page. The GitHub documentation page provides a description of the dataset with methods and assumptions. The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level.
U.S. Government Workshttps://www.usa.gov/government-works
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Connecticut address point dataset used for locating 9-1-1 calls. The address point feature class format is derived from National Emergency Number Association (NENA) and Federal Geographic Data Committee (FGDC) addressing standards. All address components, like address number, streets name and unit number, are broken up into their individual components to enable maximum flexibility for use. Fields within feature class should be able to accommodate all addresses within the state of Connecticut. The source for the addresses is primarily derived from municipal parcel data and other municipal sources.
2018 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains general data on size, value and status of residential buildings
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United States Inventory: All Residential: Colorado Springs, CO data was reported at 2,335.000 Unit th in Jul 2020. This records an increase from the previous number of 2,223.000 Unit th for Jun 2020. United States Inventory: All Residential: Colorado Springs, CO data is updated monthly, averaging 1,973.000 Unit th from Nov 2014 (Median) to Jul 2020, with 69 observations. The data reached an all-time high of 3,616.000 Unit th in Nov 2014 and a record low of 671.000 Unit th in Jan 2017. United States Inventory: All Residential: Colorado Springs, CO data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB025: Inventory of Home for Sale: by Metropolitan Areas.
Updated Continually
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The Chicago City Code, Chapter 4-17, allows for shared housing rentals to be prohibited or restricted in specified precincts. This dataset shows those precincts for which such restrictions have been requested by voter petition, including those approved by ordinance and potentially those for which an attempted repeal of the prohibition is underway or complete.
Current status can be determined from the most recent date.
This is a dataset hosted by the City of Chicago. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore the City of Chicago using Kaggle and all of the data sources available through the City of Chicago organization page!
This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.
Cover photo by chuttersnap on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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United States Inventory: All Residential: Chicago, IL data was reported at 22,720.000 Unit th in Jul 2020. This records a decrease from the previous number of 23,475.000 Unit th for Jun 2020. United States Inventory: All Residential: Chicago, IL data is updated monthly, averaging 30,959.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 41,394.000 Unit th in Apr 2012 and a record low of 22,075.000 Unit th in Jan 2018. United States Inventory: All Residential: Chicago, IL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB025: Inventory of Home for Sale: by Metropolitan Areas.
A residential service contract company agrees to maintain, repair or replace structural components, appliances or electrical, plumbing, heating, cooling or air-conditioning systems or provide expense reimbursements in residential properties containing not more than four dwelling units. The residential service contract company that issues the residential service contract and is obligated to arrange for the performance of services must be licensed with the Iowa Insurance Division. This dataset provides a list of residential service contract companies that are licensed with the Iowa Insurance Division
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United States Pending Sales: All Residential: Illinois data was reported at 14,820.000 Unit in Jul 2020. This records an increase from the previous number of 13,680.000 Unit for Jun 2020. United States Pending Sales: All Residential: Illinois data is updated monthly, averaging 8,871.000 Unit from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 14,820.000 Unit in Jul 2020 and a record low of 4,818.000 Unit in Feb 2012. United States Pending Sales: All Residential: Illinois data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB045: Pending Home Sales: by States.
The California Department of Health Care Services (DHCS) Community Services Division (CSD) provides oversight, certification, and approval for Mental Health Short-Term Residential Therapeutic Programs, Social Rehabilitation Programs, Community Treatment Facilities, and Special Treatment Programs in California. The data show the licensee, program name, type of application, licensing department, bed capacity, location, certificate number and expiration date.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.
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Comprehensive dataset containing 333 verified Home inspector businesses in Oregon, United States with complete contact information, ratings, reviews, and location data.
This dataset shows the locations of Residential Construction permits as extracted from the Accela database. The permits with a permit type of 'RESCON' are extracted and mapped on a daily basis. The geographic location is determined from a link to the city's address database. Some permits who do not have valid city addresses are located at 0,0, off the map. The issue date is extracted and shows the date at which the permit was paid. Currently, this data only shows the permits Issued after June 7, 2015, the date Accela went live. To view previous permits, see the layer CV_LOC_RESIDENTIAL_P.