Connecticut Data Collaborative

Data Portals

The Connecticut Data Partnership is working with a number of partners to create specialized data portals for specific areas of interest.
Click on the boxes below to go to initial demonstrations prepared for those portals.

Early Childhood Portal

The Early Childhood Portal presents data related to the well-being of young children and their families. The William Caspar Graustein Memorial Fund has supported its development to advance the work of Connecticut's Discovery communities.

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Coastal Fairfield County Data Portal

This portal is a collaborative project of a group of funders and nonprofit leaders in the 12-town Coastal Fairfield County region. The development of the portal is supported by the United Way of Coastal Fairfield County, the Bridgeport Health Department, and Bridgeport Alliance for Young Children.

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SEOW Behavioral Health Indicators Portal

The CT State Epidemiologic Outcomes Workgroup (SEOW) portal provides a wide range of behavioral health data, such as indicators of risk and protective factors for substance abuse, suicide, and problem gambling; criminal justice involvement; treatment; school attendance; and service capacity

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Connecticut Rural Health Portal

This data portal focusing on rural health issues is designed to support local and regional planning to improve the health status of rural populations. It is supported by the Connecticut Office of Rural Health

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Municipal Economic Indicators Portal

This portal contains a comprehensive summary of financial data for each of Connecticut's 169 municipalities and is powered by the Connecticut Economic Resource Center, Inc. Examples of data items include: debt, grand list composition, education expenditures, revenue, and mill rates.

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DataHaven Portal

DataHaven is a 501(c)3 organization that compiles and shares high-quality public information for effective decision making. DataHaven represents Greater New Haven in the National Neighborhood Indicators Partnership.

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CT Commission on Health Equity Portal

Addressing inequalities in health outcomes based on race, ethnicity, gender, and linguistic ability

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