The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment. Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019. Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.

This dataset contains information on individual properties owned by the State of Connecticut, which is collected and updated annually in March by the Office of Policy and Management. This inventory is maintained primarily for the purposes of payments in lieu of property taxes (PILOT) to the host municipality. The column "Reference Number" refers to the unique ID for the parcel (if available) and the "Address" column contains the physical address when assigned by the municipality, otherwise the street name is provided. This data is updated each March.

This dataset, maintained by the Office of Policy and Management, includes real estate sales in Connecticut from 2001 to 2022, with a sales price of $2,000 or more. Each record provides details such as the town, property address, date of sale, property type (residential, apartment, commercial, industrial, or vacant land), sales price, and property assessment.

Data are collected annually for each Grand List (GL) year, spanning October 1 through September 30. For example, the 2018 GL covers sales from October 1, 2018, to September 30, 2019, in compliance with Connecticut General Statutes (sections 10-261a and 10-261b).

Note: Municipalities undergoing property revaluation are not required to submit sales data for the 12 months following implementation. Covering over two decades of data, this dataset is a vital resource for tracking real estate trends and property valuations across Connecticut.

The table below showcases the total number of homes sold for each zip code in Bridgeport, Connecticut. It's important to understand that the number of homes sold can vary greatly and can change yearly.

Access Connecticut's 149 data folders with 1,013 services and 3,793 layers of parcel boundaries, property tax records, and GIS mapping data.

Graph and download economic data for Real Gross Domestic Product: Real Estate (531) in Connecticut (CTREALRGSP) from 1997 to 2024 about CT, leases, real estate, rent, finance, insurance, GSP, private industries, private, real, industry, GDP, and USA.

Provides property tax credits by municipality in Connecticut and is used to generate the map in the Personal Income Tax dashboard.

Graph and download economic data for All-Transactions House Price Index for Connecticut (CTSTHPI) from Q1 1975 to Q2 2025 about CT, appraisers, HPI, housing, price index, indexes, price, and USA.

The table below showcases the total number of homes sold for each zip code in Madison, Connecticut. It's important to understand that the number of homes sold can vary greatly and can change yearly.

The table below showcases the total number of homes sold for each zip code in Woodbridge, Connecticut. It's important to understand that the number of homes sold can vary greatly and can change yearly.

See full Data Guide here. Connecticut Parcels for Protected Open Space Mapping is a polygon feature-based layer that includes basic parcel-level information for some towns in Connecticut. This 2009 parcel layer includes information provided by individual municipalities. These parcel data are incomplete and out of date. The accuracy, currency and completeness of the data reflect the content of the data at the time DEEP acquired the data from the individual municipalities. Attribute information is comprised of values such as town name and map lot block number. These data are not updated by CT DEEP and should only be used as a general reference. Critical decisions involving parcel-level information should be based on more recently acquired information from the respective municipalities. These parcels are not to be considered legal boundaries such as boundaries determined from certain classified survey maps or deed descriptions. Parcel boundaries shown in this layer are based on information from municipalities used for property tax purposes. Largely due to differences in horizontal accuracy among various data layers, do not expect these parcel boundaries to line up exactly with or be properly postioned relative to features shown on other layers available from CT DEEP such as scanned USGS topography quadrangle maps, roads, hydrography, town boundaries, and even orthophotograpy. The data in the parcel layer was obtained from individual Connecticut municipalities. An effort was made to collect data once from each municipality. The data acquisition date for each set of municipally-supplied parcel data was not recorded and CT DEEP does not keep this information up-to-date. Consequently, these data are out-of-date, incomplete and do not reflect the current state of property ownership in these municipalities. These parcels are not to be considered legal boundaries such as boundaries determined from certain classified survey maps or deed descriptions. Parcel boundaries shown in this layer are based on information from municipalities used for property tax purposes. Parcel boundaries and attribute information have not been updated in this layer since the time the information was originally acquired by CT DEEP. For example, property boundaries are incorrect where subdivisions have occurred. Also, field attribute values are populated only if the information was supplied to CT DEEP. For example, parcels in some towns lack location (street name) information or possibly map lot block values. Therefore, field attributes are inconsistent, may include gaps, and do not represent complete sets of values among all towns. They should not be compared and analyzed across towns. It is emphasized that critical decisions involving parcel-level information be based on more recently obtained information from the respective municipalities. These data are only suitable for general reference purposes. Be cautious when using these data. Many Connecticut municipalities provide access to more up-to-date and more detailed property ownership information on the Internet. This dataset includes parcel information for the following towns: Andover, Ansonia, Ashford, Avon, Beacon Falls, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bolton, Branford, Bridgewater, Brookfield, Brooklyn, Canaan, Canterbury, Canton, Chaplin, Cheshire, Chester, Clinton, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Darien, Deep River, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Lyme, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Granby, Greenwich, Griswold, Groton, Guilford, Haddam, Hamden, Hartford, Hebron, Kent, Killingly, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Lyme, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Milford,

Graph and download economic data for Real Estate, Rental and Leasing Earnings in Connecticut (CTEREA) from Q1 1998 to Q2 2025 about CT, leases, real estate, rent, earnings, and USA.

Graph and download economic data for State Government Tax Collections, Property Taxes in Connecticut (CTPROPTAX) from 1942 to 2013 about CT, tax, government, and USA.

Graph and download economic data for Real Estate, Rental and Leasing Wages and Salaries in Connecticut (CTWREA) from Q1 1998 to Q2 2025 about CT, leases, real estate, rent, salaries, wages, and USA.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of assessed property values for each zip code in Bridgeport, Connecticut. It's important to understand that assessed property values can vary greatly and can change yearly.

March 2018 - Payment in Lieu of Taxes (PILOT)

A listing of individual properties owned by the State of Connecticut, which is collected and updated annually in March by the Office of Policy and Management. This inventory is maintained primarily for the purposes of payments in lieu of property taxes (PILOT) to the host municipality. The column "Reference Number" refers to the unique ID for the parcel (if available) and the "Address" column contains the physical address when assigned by the municipality, otherwise the street name is provided.

See full Data Guide here. DEEP Property is a polygon feature-based layer that includes all land owned in fee simple interest by the State of Connecticut Department of Energy and Environmental Protection. This layer is based on information that was collected and mapped at various scales and at different levels of accuracy. Generally, partial interests such as easements or development rights are not included in this layer. The exception is flood control areas, which may include permanent easements. Types of property in this layer include parks, forests, wildlife areas, flood control areas, scenic preserves, natural areas, historic reserves, DEEP owned waterbodies, water access sites and other miscellaneous properties. This layer is current and is updated as parcels are acquired by DEEP.

The table below showcases the total number of homes sold for each zip code in Sterling, Connecticut. It's important to understand that the number of homes sold can vary greatly and can change yearly.

Comprehensive dataset containing 227 verified Real estate developer businesses in Connecticut, United States with complete contact information, ratings, reviews, and location data.

The Property Management industry in Connecticut is expected to decline an annualized -x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has decreased an annualized -x.x% to x,xxx workers, while industry wages have decreased an annualized -x.x% to $x.x million.