The Connecticut Housing Data Hub is a public resource developed by the Office of Policy and Management (OPM), Department of Housing (DOH), and Department of Economic and Community Development (DECD).Data available on this site includes permitting and demolition data from DECD, housing stock from the American Community Survey, and data on affordable housing collected by DOH.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
Phoenix housing data from the American Community Survey (ACS) 1-year estimates
This dataset was created by Muhammad Shahriar
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
Denton housing data from the American Community Survey (ACS)
UCLA Housing dataset
Yearly Real Estate sales data by count and purchase price (median and average) from 2005 to 2018. All communities in the Keys to the Valley region are included.
Vermont Dataset Description
Purchase price - Average Sales Price based on listing price at time of purchase
Source – www.HousingData.org
NH Dataset Description
This data set provides an estimate of the median sale price of existing and new primary homes in New Hampshire. A primary home is defined as a single family home occupied by an owner household as their primary place of residence. Multi-family rental housing, seasonal or vacation homes and manufactured housing are not included in the analysis of this data.
Purchase price -
Median Sales Price
Data Collection Process - For the Period 1990 through 2014, the median purchase prices were calculated from data collected by the New Hampshire Department of Revenue Administration on the PA-34 Form through their vendor Real Data Corp. A PA-34 Form is filed by the buyer and seller at the time of sale of all real property in the State of New Hampshire. In 2015 this source of data was no longer available, and has been replaced by real estate transaction data supplied by The Warren Group and filtered and compiled by NHHFA. This change in data source is reflected in the charts by a break in the trend line.
Analysis - Median sale prices of all, new, existing, and condominium homes are calculated. The frequency of sales by $10,000 increment is also calculated for each of the above categories. Calculations based on sample sizes smaller than 50 are viewed as providing inconsistent and highly volatile results and are not typically released. Individual record level data is not released.
Limitations - The quality of this data at the higher geographic levels (statewide and counties) is consistent over the entire time series. For the larger LMAs and Municipalities the data is reasonably consistent with some holes in the data. For smaller LMAs and moderate sized municipalities the data is most consistent for existing homes since 1998. For the smallest municipalities this data set does not provide adequately consistent analysis.
Source - NHHFA Purchase Price Database; Source: 1990-2014 - NH Dept. of Revenue, PA-34 Dataset, Compiled by Real Data Corp. Filtered and analyzed by New Hampshire Housing.
https://www.nhhfa.org/publications-data/housing-and-demographic-data/
This dataset was created by Erik.M
5-year American Community Survey estimates of housing variables (see below) at the tract level released in 2012. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureaus 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.The American Community Survey (ACS) 5 Year 2008-2012 housing information is a subset of information available for download. Downloaded tables include: B25002 - Occupancy Status, B25009 - Tenure By Household Size, B25021 - Median Number Of Rooms By Tenure, B25024 - Units In Structure, B25032 - Tenure by Units In Structure, B25036 - Tenure By Year Structure Built, B25037 - Median Year Structure Built By Tenure, B25041 - Bedrooms, B25042 - Tenure By Bedrooms, B25056 - Contract Rent, B25058 - Median Contract Rent, B25068 - Bedrooms By Gross Rent, B25077 - Median Value, B25097 - Mortgage Status By Median Value (Dollars) and B25123 - Tenure By Selected Physical And Financial Conditions. Data is current as of 5/6/2015.
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Dataset Card for 'Ames Iowa: Alternative to the Boston Housing Data Set'
This dataset contains information from the Ames Assessor’s Office about residential properties sold in Ames, IA from 2006 to 2010. This repository is a mirror the original dataset meant to facilitate its consumption. The dataset was originally published by Dean De Cock in Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project, it is meant as a resource for teaching… See the full description on the dataset page: https://huggingface.co/datasets/cloderic/ames_iowa_housing.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Hung Wen Chen
Released under Apache 2.0
This dataset was created by MichaelGianfelice05
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing register, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
Pursuant to New York City’s Housing Maintenance Code, the Department of Housing Preservation and Development (HPD) issues violations against conditions in rental dwelling units that have been verified to violate the New York City using Maintenance Code (HMC) or the New York State Multiple Dwelling Law (MDL). Violations are issued when an inspection verifies that a violation of the HMC or MDL exists. It is closed when the violation is corrected, as observed/verified by HPD or as certified by the landlord.
The project Datamaps.eu creates the first visualization of Linz data with the help of district maps. The City of Linz provides data on the number of shared flats, cooperative flats, condominiums and homeowners broken down by statistical district. Four maps were created from this.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing register, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Waitlist, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Full listings of the residential units in London’s housing pipeline as at 31/03/2016 and completed between 01/04/20015 and 31/03/2016 from the London Development Database (LDD). The LDD records significant planning permissions in London. The data is entered by the London Boroughs and is checked by the GLA to ensure consistency across London. The LDD records any planning consent that permits the loss or gain of one or more residential units. This data was used to compile the housing monitor in the London Plan Annual Monitoring Report 13. it will not be updated.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The geodatabase contains boundaries for the national, first-, and second-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.
The tabular data contain total population for 2020 (census), as well as five-year age group and sex, and information relating to households, language, mortality, disability, and migration.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The geodatabase contains boundaries for the national and first- and second- order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.
The tabular data contain total population for 2006 (census) and 2019 (population estimates), as well as five-year age group and sex, and information relating to households, nationality, information and communication technology, migration and displacement, health, and poverty.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The geodatabase contains boundaries for the national and first-and second-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.
The tabular data contain total population for 2010 (census) and 2019 (population estimates), as well as five-year age group and sex, settlements, household characteristics, individual characteristics, and hurricane damage.
The Connecticut Housing Data Hub is a public resource developed by the Office of Policy and Management (OPM), Department of Housing (DOH), and Department of Economic and Community Development (DECD).Data available on this site includes permitting and demolition data from DECD, housing stock from the American Community Survey, and data on affordable housing collected by DOH.