The Connecticut Women & Girls Data Hub is more than just an interactive platform—it’s a catalyst for equity.
An interactive, online platform designed to illuminate the stories behind the statistics. This tool provides access to publicly available data at regional, city, and statewide levels—disaggregated by gender and race—to drive informed decisions and equitable change. This isn’t just about numbers—it’s about impact. Women and girls across Connecticut are raising their hands, stepping into leadership, and shaping the future. Every data point tells a story, and together, we can turn those stories into solutions.
Explore the data. There’s power in numbers and strength in action.
Source: ACS 2024 5-year estimates, table B01001
Counting race is generally complicated.
The US Census Bureau distinguishes between race (eg Asian or Black) and Hispanic ethnicity.
In this bar chart, for all but the white non-Hispanic group, counts include those women who self-identify as Hispanic or Latina.
Hispanic group includes women of all races.
Therefore, the total value of 7 bars exceeds the actual population of females in the area.
Source: ACS 2024 5-year estimates, tables B01001B through B01001I
Generally, females aged 18 and over have higher foreign-born rates than those under 18.
Source: ACS 2024 5-year estimates, table B05003
Over half of females in Hartford and New Haven were never married, while the majority of females in the Northwest Hills and Western Connecticut Planning Regions are married.
Source: ACS 2024 5-year estimates, table B12001
Overall in Connecticut the share of females in nursing facilities has . Bridgeport, however, is experiencing the opposite trend, having .
Those whose gender is unknown were counted as non-female, so the real share of females in long term care may be slightly higher.
According to the American Community Survey, females are more likely to have health insurance coverage than males in Connecticut. Young adults (age group 26-34) have higher rates of uninsured population among all age groups for many geographies in Connecticut.
Source: ACS 2024 5-year estimates, table B27001
The pie chart on the left shows the share of females aged 15-50 who gave birth in the past 12 months and the pie chart on the right shows their marital status. Now married includes women who are separated whose spouses are absent. Unmarried includes women who are divorced, widowed, or have never been married.
Source: ACS 2024 5-year estimates, table B13002 (including subtables B through I)
The bar chart below shows infant mortality rates per 1,000 births. Race and Hispanic ethnicity are not mutually exclusive groups, and women identifying themselves as Hispanic can be of any race and are also counted in the race breakdown as either "white" or "Black". To avoid high degree of variability, rates for less than 5 deaths are not presented.
Source: The Office of Vital Records at the Connecticut Department of Public Health, 2024 (final births, provisional deaths)
Maternal mortality is the number of deaths from any cause related to pregnancy and its management
(excluding accidental or incidental causes) and up to 12 months following the termination of pregnancy,
per 100,000 live births. This is a 2019-2023 5-year estimate.
This data is only available on the state and national level.
Source: CDC WONDER Online Database, Mortality files, accessed via United Health Foundation's America's Health Rankings, 2025 Health of Women and Children Report
In Connecticut, the preterm birth rate among Black women is 43% higher than the statewide rate among all women. This data is only available on the state level.
Connecticut's preterm birth rate is 9.8%, which is classified as C by March of Dimes. Data is not available for Tolland county and Windham county. This chart always shows all available counties and does not change with the geography filter above.
Source: 2025 March of Dimes Report Card
This data is only available on the state level and does not change with the geography filter above.
The source report (January 2020) was a one-time study covering 2014–2018, not a recurring annual report. Newer figures that exist (e.g. CT DCF reported 303 total trafficking referrals in 2023) use different definitions — referrals rather than confirmed victims, not broken out by gender — so they aren't comparable to the data shown here. CT DCF is launching a new data system (CT-KIND) in 2025 specifically to improve trafficking data collection; this chart will be revisited if a comparable series becomes available.
Source: Human Anti-trafficking Response Team (HART) in Connecticut, December 2019
In Connecticut, more than 2 in 3 females aged 25+ have at least some college education. In Norwalk, Stamford, and the Western Connecticut and Capitol Planning Regions, there are more women with Bachelor's degrees than those with a high school diploma. At the same time, over 20% of women in Hartford and Bridgeport do not have a high school diploma.
Source: ACS 2024 5-year estimates, tables B15002
Median earnings for women increase with educational attainment.
Source: ACS 2024 5-year estimates, table B20004
The number of suspensions are reported for students with at least one in- or out-of-school suspension or expulsion. Male students received about × as many suspensions as female students.
This data is only available on the state level and does not change with the geography filter above. The most recent data are from the 2024-25 academic year. Data for non-binary students has been reported in some, but not all, academic years.
This data is only available on the state level and does not change with the geography filter above. This question was discontinued after the 2023 Connecticut School Health Survey (confirmed absent from the 2025 survey) and will not be updated further.
Source: 2023 Connecticut School Health Survey, CT Department of Public Health
This data is only available on the state level and does not change with the geography filter above.
Source: EdSight , Indicator 7
The pie chart below shows what percentage of women are below the poverty line, according to the American Community Survey.
Source: ACS 2024 5-year estimates, table B17001
Source: ACS 2024 5-year estimates, tables B17001B through B17001I
The bar charts below shows the distribution of earnings of full-time female workers, by race and Hispanic ethnicity. Use the dropdown to view data for for a select race/ethnicity.
Note that data is missing for many racial categories. Percentages may not add up to 100% due to rounding.
Source: ACS 2024 5-year estimates, tables B20005, and B20005B through B20005I
The chart below shows the median weekly earnings of full-time female workers as a percent of full-time male workers. This data is only available on the state level.
Source: US Department of Labor, 1998–2024 (annual averages)
Labor force includes females aged 16 and over who are available to work. Those in the labor force are generally split into employed and unemployed. Those not in labor force often include students, retirees, and those who take care of children or other family members.
Source: ACS 2024 5-year estimates, table B12006
Family households with a female householder and no spouse present generally receive SNAP benefits in higher numbers if they have children under 18. Over 60% of such households in Hartford and New Britain receive SNAP benefits, compared to under 30% in the Lower Connecticut River Valley and Western Connecticut Planning Regions.
Source: ACS 2024 5-year estimates, table B22002
The ALICE Threshold represents the minimum income level necessary based on the Household Survival Budget (estimate of the total cost of household essentials – housing, child care, food, transportation, technology, and health care, plus taxes and a 10 percent contingency). It is calculated for each county.
Values for Connecticut and some towns are not available.
This chart does not currently change with the geography filter above.
Source: ALICE IN THE CROSSCURRENTS, AN UPDATE ON FINANCIAL HARDSHIP IN CONNECTICUT, 2024 Update
The bar chars below represent the number of women employed in a particular occupation field, and the median earnings of women in that field. Data are not available for all geographies. In general, median earnings of women working in STEM and management fields are highest. While management occupations comprise of all female employment in Connecticut, STEM field accounts for only .
Source: ACS 2024 5-year estimates, table C24020
Source: ACS 2024 5-year estimates, table B24022
According to the BRFSS survey, adult women were more likely to report poor mental health than adult men. Black (non-Hispanic) respondents suffer from poor mental health at a higher rate than respondents whose race is white (non-Hispanic), Hispanic, and Other (non-Hispanic).
This data is only available on the state level. The bar chart below shows percent of respondents who reported 14 or more days of poor mental health during 30 days prior to the survey. Unfortunately, racial breakdown is unavailable by gender.
According to the BRFSS, 11% of females have thought about taking their own life, compared to 14% of males. Of those who thought about suicide, 31% of females and 30% of males attempted suicide.
This data is only available on the state level. The bar chart shows percent of respondents who reported they had ever thought of taking their own life, and those who thought of and then attempted suicide. White, Black, and Other race do not include Hispanic ethnicity. Unfortunately, racial breakdown is unavailable by gender.
CT BRFSS discontinued this question after 2018 (confirmed absent from the 2024 CT BRFSS Summary Tables) — this data will not be updated further.
Historically, males are much more likely to commit suicides than females. The line chart below shows annual suicides by gender in Connecticut between 1990–2024. 2024 figures are provisional. This data is only available on the state level.
CT Office of the Chief Medical Examiner records all accidental deaths associated with drug overdose in Connecticut. The latest available data is for 2024.
The bar chart below shows the breakdown of drug-related deaths by race and ethnicity in selected geography. Counts are based on places of residence, not places of deaths (big cities with hospitals tend to experience larger numbers of deaths). 0.3% of all deaths do not have gender information and are excluded from this chart.
The stacked bar chart shows the number of intoxicated drivers involved in DUI crashes in selected geography in 2024, broken down by crash severity and driver gender. Gender was not recorded for a small number of drivers (shown as "Unknown"). A small number of crashes involved more than one intoxicated driver, so these are counts of drivers, not crashes.
Source: data.ct.gov