See report page for more information.

About the Profiles

DataHaven has maintained neighborhood and community profiles and maps for over 30 years. The estimates in our Connecticut State Legislative District Profiles are based on Connecticut State House and Senate districts.  Unlike many other online maps, the data visualization technology we use is highly responsive across mobile devices.

2024 Legislative District Profiles

View the 2024 edition of the profiles for each Connecticut State House and Senate district by clicking here.

Begin by selecting your legislative chamber (House or Senate). Click the map or use the dropdown menus to select your legislative district. Click “map” or “chart” to toggle between the interactive charts and statewide map. After viewing the visualization, click on the “X” in the top right to return to this page.

Links to download the raw data are embedded within the visualization itself (see links at bottom). Please contact us if you have any issues accessing these data files.

Other relevant resources

• To access town-level data for the entire state, we recommend accessing DataHaven’s Connecticut Town Data Viewer.
• DataHaven publishes data profiles for neighborhoods within Connecticut cities.
• A DataHaven report, 2020 Census Data: Demographic Change in Connecticut Town and City Neighborhoods, contains maps and analyses of changes since the 2010 Census, based on local results from the 2020 Census that were first released in August 2021.
• DataHaven’s Connecticut Town Equity Reports contain local maps for all 169 towns in the state.
• DataHaven publishes analyses of the local-level impacts of policies such as a proposed Child Tax Credit, cuts to healthcare and food assistance, and tax effects of legislation, typically at the town and/or legislative district level. These are posted on the main reports page of our website.

Previous editions

View the 2020 edition of the profiles by clicking here.

View the 2019 edition of the profiles by clicking here. 

More information

Please contact us with any questions. Data for other Connecticut communities, towns, and areas are posted on our community profile page, in our Town Equity Reports, and elsewhere on this website.

This is a raw dataset with neighborhood profile data developed by DataHaven using the 2022 5-year American Community Survey, CDC PLACES (2023 data release), and USALEEP data calculated by DataHaven for individual Bridgeport neighborhoods.

For our main Connecticut City Neighborhood Profiles page, which includes data visualizations of datasets about geographic areas such as towns, city neighborhoods, and legislative districts throughout Connecticut, click here or go to our Data Dashboard, select the visualization of interest, and use the drop down menus to filter for city and indicators. Data sources are described on that page; more current versions of the dataset may be included in this version of the file.

This is a raw dataset with neighborhood profile data developed by DataHaven using the 2022 5-year American Community Survey, CDC PLACES (2023 data release), and USALEEP data calculated by DataHaven for individual Hartford and West Hartford neighborhoods.

For our main Connecticut City Neighborhood Profiles page, which includes data visualizations of datasets about geographic areas such as towns, city neighborhoods, and legislative districts throughout Connecticut, click here or go to our Data Dashboard, select the visualization of interest, and use the drop down menus to filter for city and indicators. Data sources are described on that page; more current versions of the dataset may be included in this version of the file.

This is a raw dataset with neighborhood profile data developed by DataHaven using the 2022 5-year American Community Survey, CDC PLACES (2023 data release), and USALEEP data calculated by DataHaven for individual New Haven neighborhoods. 

For our main Connecticut City Neighborhood Profiles page, which includes data visualizations of datasets about geographic areas such as towns, city neighborhoods, and legislative districts throughout Connecticut, click here or go to our Data Dashboard, select the visualization of interest, and use the drop down menus to filter for city and indicators. Data sources are described on that page; more current versions of the dataset may be included in this version of the file.

This is a raw dataset with neighborhood profile data developed by DataHaven using the 2022 5-year American Community Survey, CDC PLACES (2023 data release), and USALEEP data calculated by DataHaven for individual Stamford neighborhoods.

For our main Connecticut City Neighborhood Profiles page, which includes data visualizations of datasets about geographic areas such as towns, city neighborhoods, and legislative districts throughout Connecticut, click here or go to our Data Dashboard, select the visualization of interest, and use the drop down menus to filter for city and indicators. Data sources are described on that page; more current versions of the dataset may be included in this version of the file.

About the Profiles

DataHaven has collected data for neighborhoods throughout Connecticut for over 30 years. The estimates in our Connecticut City Neighborhood Profiles are developed based on locally-designated neighborhoods within the cities of Bridgeport, New Haven, Hartford-West Hartford, and Stamford (neighborhood-level data for other cities and towns can be added in the future based on requests). Unlike many other online maps, the data visualization technology we use is highly responsive across mobile devices.

2024 City Neighborhood Profiles

View the 2024 edition of the neighborhood profiles by clicking here. 

Begin by selecting your city. Click on “chart” or “map” to toggle between charts and maps of each city. After viewing the visualization, click on the “X” in the top right to return to this page.

Links to download the raw data are embedded within the visualization itself (see links at bottom). Please contact us if you have any issues accessing these data files.

Other relevant resources

• To access town-level data for the entire state, we recommend accessing DataHaven’s Connecticut Town Data Viewer.
• DataHaven publishes data profiles for Connecticut State House and State Senate districts.
• A DataHaven report, 2020 Census Data: Demographic Change in Connecticut Town and City Neighborhoods, contains maps and analyses of changes since the 2010 Census, based on local results from the 2020 Census that were first released in August 2021.
• DataHaven’s Connecticut Town Equity Reports contain local maps for all 169 towns in the state.

Prior versions

View the 2020 edition of the profiles by clicking here.

View the 2019 edition of the profiles by clicking here. 

More Information

Please contact us with any questions. Data for other Connecticut communities, towns, and areas are posted on our community profile page, in our Town Equity Reports, and elsewhere on this website.

The document linked below is an Excel file created by DataHaven with DataHaven Community Index Score components and overall scores for all Connecticut towns. It corresponds to DataHaven’s 2023 Community Wellbeing Index publications.

The methodology used is described in the Fairfield County Community Wellbeing Index 2023, Greater Hartford Community Wellbeing Index 2023, and Greater New Haven Community Wellbeing Index 2023 reports. As with most Connecticut data, the 169 Connecticut towns are defined geographically by the Census Bureau as county subdivisions.

Note: Town-level data are also analyzed and graphed within the DataHaven Town Equity Reports, which are available for all 169 towns in the state. DataHaven has also published neighborhood-level analyses of data on this site. This file was compiled using R statistical software scripts to ensure accuracy and reproducibility. If you are using information from this file, please cite the source as “DataHaven Community Index Scores from 2023 reports with data for 169 CT towns, Excel file published March 21, 2021, available at ctdatahaven.org.” Alternatively, you may cite our Community Wellbeing Index reports if citing information about the towns that are listed in those reports.

The Five Connecticuts (5CT) are a classification system, originally developed in 2004 by Don Levy, Orlando Rodriguez, and Wayne Villemez, to allow better comparisons across Connecticut’s geographical areas.

Using statistical methods, the 169 towns of Connecticut are grouped into one of five categories based on analysis of demographic variables.

The Five Connecticuts (5CT) were updated by Don Levy and DataHaven in 2015, using 2010 census data. The updated (2010) classifications are provided in the attached file on this page.

When looking at social or demographic data, conditions in a town are often similar to the average of the towns within its 5CT group. Given the small size of some Connecticut towns, this makes the classification system especially useful in cases where reliable data are not available for individual towns.

Please cite the attached file as follows: “Levy, Don and DataHaven. (2015): Five Connecticuts 2010 Update. Produced for Siena College Research Institute and DataHaven based on the original method of assigning designations used in Levy, Don, Orlando Rodriguez, and Wayne Villemez. 2004. The Changing Demographics of Connecticut – 1990 to 2000. Part 2: The Five Connecticuts. Storrs, Connecticut: University of Connecticut SDC Series, no. OP 2004-01. Published by DataHaven.”

The DataHaven Five Connecticuts update is widely used by agencies across Connecticut to understand conditions across diverse geographic areas.

5ct image with logo.JPG

Image from 2020 DataHaven Health Equity Report

This is a CSV (raw data) file with the state, county, and town-level data used in our community profile pages, updated with 2021 5-year ACS data (released by Census Bureau in December 2022). For Connecticut counties and select Connecticut towns, the dataset also contains a small number of estimates from the DataHaven Community Wellbeing Survey. Please refer to the survey page for full crosstabs and results.

The CSV may be downloaded using the “Document” link below.

This file is also posted on Github.