Authored By

DataHaven and Siena College Research Institute


January 01, 2021


Survey funders include over 80 state and local government, health care, academic, and community partners throughout Connecticut, and Advisory Council members represent 300 organizations.

The DataHaven Community Wellbeing Survey (DCWS) traces its origins to a series of grassroots and locally-based efforts conducted over the past two decades to gather information on well-being and quality of life in Connecticut's diverse neighborhoods. With guidance from DataHaven and an Advisory Council of more than 300 public and private organizations, DataHaven developed this network into a formal partnership and created a unified statewide survey shared by all cities and towns in the state. The DCWS is now a nationally-recognized program that provides critical, highly-reliable local information not available from any other public data source.


2021 DCWS

2020 DCWS-COVID-19 Response Wave

2018 DCWS

2015 DCWS

2012 DCWS

Research Advisory Committee and Advisory Council

Survey Funders

2021 DataHaven Community Wellbeing Survey

We recently launched the 2021 DataHaven Community Wellbeing Survey, with continuing support from dozens of hospitals, charitable organizations, and public agencies throughout Connecticut. Like our 2015 and 2018 surveys, the 2021 survey is conducting thousands of live interviews of randomly-selected Connecticut residents in every town. Please contact us for additional information or to inquire about supporting additional interviews in your town.

Results, Publications, and Data: 2021 Survey Program

2020 DataHaven Community Wellbeing Survey - COVID-19 Response Wave

DataHaven fielded a special "COVID-19 rapid response" wave of the statewide DataHaven Community Wellbeing Survey (DCWS) by partnering with Siena College Research Institute to complete live, in-depth interviews of 1,108 randomly-selected Connecticut residents from late July to mid-August 2020.

Results, Publications, and Data: 2020 Survey Program

Unlike our large-scale 2012, 2015, 2018, and 2021 DCWS, this "rapid response" wave of the DCWS had a shorter questionnaire and was focused on estimating statewide trends by community type and demographic group, but not on measuring conditions within specific neighborhoods or small towns. Due to the much smaller sample size of the 2020 DCWS wave as compared to the very large-scale 2015/2018 DCWS waves, results should be compared to past years with caution.

Funders of this survey wave include The Community Foundation for Greater New Haven, Tufts Health Plan Foundation, Connecticut Health Foundation, Hartford Foundation, United Way of Central and Northeastern Connecticut, Nuvance Health, City of Hartford, Trinity Health of New England, Valley Community Foundation, Greater Waterbury Health Partnership, BJM Solutions, and the Center for Research and Engagement at Yale School of Medicine.

2018 DataHaven Community Wellbeing Survey

In 2018, we repeated and expanded this innovative program with support from 80 public and private partners throughout Connecticut. Over 16,000 randomly-selected adults in every town in Connecticut participated in live, in-depth interviews in 2018.

Results, Publications, and Data: 2018 Survey Program

2015 DataHaven Community Wellbeing Survey

In 2015, DataHaven expanded the Community Wellbeing Survey to encompass the entire State of Connecticut and sections of New York State, while retaining its mission to produce high-quality neighborhood-level and regional estimates for areas including Greater New Haven, Greater Bridgeport, Lower Fairfield County, Greater Hartford and New Britain, Southeastern Connecticut, the Naugatuck Valley, and other areas. The program completed in-depth interviews of nearly 17,000 randomly-selected residents in 2015. 

Results, Publications, and Data: 2015 Survey Program

2012 DataHaven Community Wellbeing Survey

The 2012 Community Wellbeing Survey asked 1,307 randomly selected adults living in New Haven and 12 surrounding towns what they thought about a variety of issues related to well-being, quality of life, and public health. Concurrently, an additional 1,300 residents in six New Haven neighborhoods were randomly selected and interviewed in person through a survey conducted by the Community Alliance for Research and Engagement. The combined dataset of 2,600 responses is a valuable resource to help understand our region and has been widely used by all sectors of the community.

Results, Publications, and Data: 2012 Survey Program

DataHaven Community Wellbeing Survey Research Advisory Committee and Advisory Council

The survey is developed with input from a Research Advisory Committee of leading national and statewide experts in survey research, as well as an Advisory Council of approximately 300 different public and private organizations throughout Connecticut. The survey uses validated questions from national and international surveys to allow comparisons to benchmark data.

In 2018, 2020, and 2021, the Research Advisory Committee included experts such as Sue Starkey, Northeast District Department of Health; Don Levy, Siena College Research Institute; Amanda Durante, Connecticut Department of Public Health; Brita Roy, Yale University; Byron Kennedy, New Haven Health Department; Mark Abraham, DataHaven; Jennifer Calder, Stamford Health Department; Lisa Morrissey, Danbury Health Department and Bridgeport Health Department; Russell Melmed, Ledge Light Health District and Chatham Health District; Amy Carroll-Scott, Drexel University; Tung Nguyen, City of Hartford; Brian Weeks, New Haven Health Department; Shayna Cunningham, University of Connecticut; Kathleen Duffany, Yale University; Emily Wang, Yale University; Victor G Villagra, University of Connecticut; Gregg Gonsalves, Yale University; Danya Keene, Yale University; Jane Ungemack, University of Connecticut.

Advisory Council members include representatives from public agencies and private organizations throughout the state, representing a wide range of interests.

DataHaven Community Wellbeing Survey Funders

Please contact us to learn more.