Connecticut Women & Girls Data Platform

An online, interactive tool, the Women & Girls Data Platform provides access to publicly available data specific to regional, city, and statewide levels and aggregated for gender and race.

Six diverse women holding hands

Step 1: Choose Your Geography map

Step 2: Choose Your Topic pie_chart

In , you will find

Female population by age

Source: ACS 2017 5-year estimates, table B01001

Race & ethnicity

Counting race is generally complicated. US Census 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 8 bars exceeds the actual population of women in the area.

Source: ACS 2017 5-year estimates, tables B01001B through B01001I

Citizenship

Generally, women aged 18 and over have higher foreign-born rates than those under 18.

Source: ACS 2017 5-year estimates, table B05003

Marital status

Over half of women in Hartford and New Haven were never married, while the majority of women in Litchfield and Fairfield counties are married.

Source: ACS 2017 5-year estimates, table B12001

% Without health insurance coverage, by age and gender

Generally, women are more likely to have health insurance coverage than men 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 2017 5-year estimates, table B27001

Women with births in the past 12 months

The two pie charts below show a share of women aged 15-50 who gave birth in the past 12 month, and their marital status. "Now married" includes those separated and whose spouse is absent. Unmarried includes those never married, divorsed, and widowed.

Source: ACS 2017 5-year estimates, table B13002 (including subtables B through I)

Infant mortality

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, 2015 annual report, Table 2B

Maternal mortality in Connecticut and nearby states

This variable is unavailable for geographies smaller than the state. 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 5-year estimate.

Source: CDC WONDER Online Database, Mortality files, accessed via United Health Foundation's America's Health Rankings

Preterm births

Preterm birth rate by race and ethnicity

This variable is available for the state only. In Connecticut, the preterm birth rate among black women is 42% higher than the rate among all other women.

Preterm birth rate by county (all races)

Connecticut's preterm birth rate is 9.4%, which is classified as C+ by March of Dimes. Data are present for 6 of 8 counties in the state.

Source: 2019 March of Dimes Report Card

Educational attainment

In Connecticut, 2 in 3 women have at least some college education. In Norwalk, Stamford, as well as Fairfield and Tolland counties, there are more women with Bachelor's degrees than those with high school diploma. At the same time, 1 in 4 women of Bridgeport, and 1 in 5 women in Hartford, New Britain, and Waterbury do not have a high school diploma.

school

Source: ACS 2018 1-year estimates, tables B15002, and B15002B through B15002I

Median earnings by educational attainment

Data for all women. Median earnings are higher for women with more education.

Source: ACS 2017 5-year estimates, table B20004

Suspensions by gender in Connecticut

The number of suspensions are reported for students with at least one in- or out-of-school suspension or expulsion. Most recent available data are from 2017-18 academic year, which is also the first year data for non-binary students became available. Male students are twice as likely to get suspensions than female students, but the number of suspensions for both genders has been decreasing.

Source: CT State Department of Education (via EdSight)

Women in poverty

1 in 3 women of Hartford live in poverty, compared to about 11% in Connecticut.

Source: ACS 2017 5-year estimates, table B17001

Poverty by race/ethnicity

Source: ACS 2017 5-year estimates, tables B17001B through B17001I

Earnings for full-time female workers

Source: ACS 2017 5-year estimates, tables B20005, and B20005B through B20005I

Women's earnings as percent of men's in Connecticut and the US

The data below shows median usual weekly earnings of full-time wage and salary female workers as percent of male workers. In the past 20 years, the disparity in earnings was higher in CT than in the US. The situation improved in 2017 and 2018, although at 81% there is still a lot to be done to close the gap.

Source: US Department of Labor, 1998–2018 (annual averages)

Employment and labor force participation home_work

Labor force includes women 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 2017 5-year estimates, table B12006

Female households (no husband present) receiving food stamps/SNAP

Family households with a female householder and no husband present generally receive SNAP benefits in higher numbers if they have children under 18. Over 60% of such households in Hartford, New Britain, and Waterbury receive SNAP benefits, compared to under 30% in Fairfield and Litchfield counties.

Source: ACS 2017 5-year estimates, table B22002

Female heads of households earning below and above ALICE

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.

Source: 2017 ACS, IPUMS USA, University of Minnesota, www.ipums.org.

Employment and median earnings by occupation

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 13% of all female employment in Connecticut, STEM field accounts for only 4%.

Source: ACS 2017 5-year estimates, table C24020

Source: ACS 2017 5-year estimates, table B24022

Women-owned firms

As of 2017, according to the 2017 American Express State of Women-Owned Businesses Report, 113,110 women own businesses in Connecticut which employ 95,300 people and contribute $16.4 billion to Connecticut's gross domestic product. [1] [2]

Women-owned firms with paid employees, by industry

In Connecticut, women are still less likely than men to own companies that have paid employees. The highest share of women-owners are in education services, health care & social assistance, and accommodation & food services. The situation looks better when including companies that are equally female/male owned. For example, 53% of health care & social assistance firms in Norwalk in 2012 were owned fully or partially by women.

In the bar chart below, the x-axis represents the number of firms, and percentage represents the share of companies in the industry owned by women (excluding equal male/female ownership). Industries with smaller number of businesses are not included.

Source: ACS 2012 Survey of Business Owners

Footnotes

[1] Connecticut Business and Industry Association. Number of Connecticut Women-Owned Businesses Grows, 2017. Retrieved from https://www.cbia.com/news/economy/women-owned-businesses-grow/.

[2] Data from the 2017 State of Women-Owned Businesses Report is extrapolated from the US Census 2012 Survey of Business Owners to get a calculated estimate for number of women-owned businesses in Connecticut for 2017.

Connecticut Legislation Representation by Gender and County

Table 1: Connecticut House of Representatives, 2019 1

Table 2: Connecticut Senate, 2019 2

Table 3: Connecticut Congressional Member Representation, 2019 3

Methodology

Data reflects the current representation of Connecticut legislators as of December 2019. It is to be noted that there are three vacant house member seats (districts 48, 132, 151), leaving the total number of House of Representative members to be 148. Legislator gender was determined from pronoun use (she/her, him/his) on their official legislator website, found through https://cga.ct.gov.

County designations for state legislators were determined from the county that is the majority represented in their district. Towns in each legislator district that informed the county designation can be found on each legislator’s official website through https://cga.ct.gov. The majority of legislators have their districts within one county. County designations for congressional legislators were determined using the hometown provided on their official websites; hometown information was not available on the official websites for Rosa DeLauro and Jahana Hayes. The hometown used for the county designation for Jahana Hayes was found in the Hartford Courant (see endnote). No current hometown location could be found online for Rosa DeLauro so her state office location was used instead, found on her official website.

Several state legislators have districts that fall within multiple counties; their county was determined from the county where the majority of the towns they represent are from. These legislators are listed out below (Tables 5 and 7).

Several state legislators also represent an equal number of towns across in each county in their district, such as representing two towns in one county and two towns in another county. Their county was determined from the location of their hometown which can be found on their official website. These legislators are listed out below (Tables 6 and 8).

Counts were used to determine the number of legislators by gender in each county.

Table 5: CT House Representatives whose district is in more than one county but represent towns from a majority of one county
Table 6: CT House Representatives whose district has an equal number of towns represented in each of the counties they represent
Table 7: CT Senate Members whose district is in more than one county but represent towns from a majority of one county
Table 8: Senate Members whose district has an equal number of towns represented in each of the counties they represent
Footnotes

[1] Data derived from https://cga.ct.gov/.

[2] Data derived from https://cga.ct.gov/.

[3] Data derived from https://cga.ct.gov/ and https://www.courant.com/news/connecticut/hc-news-connecticut-jahana-hayes-bio-20180815-story.html.

Connecticut in the National Representation Index

Connecticut in the 16th of 50 US States and DC

Source: Who Leads Us, a project of the Reflective Democracy Campaign

About The Women & Girls Data Platform

The Women and Girls Data Platform (WGDP) is a cutting-edge tool to share information and equip non-profits, government, and community members with information for the advancement of women and girls in the 21st century. An online, interactive tool, the WGDP provides access to publicly available data specific to regional, city, and statewide levels and aggregated for gender and race. The data compares trends across regions and the state and allows understanding of local needs. Reliable information on the needs of women and girls is vital to address community needs through effective programming, advocacy, and resource allocation. The WGDP advances data literacy as a vital tool to increase the capacity and impact of community-based non-profits. According to the international Women’s Funding Network, no similar data sharing platform exists nationwide, and Connecticut is a model for the country to share data to increase equity.

The Platform is funded collaboratively by the Aurora Women and Girls Foundation, Fairfield County's Community Foundation's Fund for Women & Girls, Main St. Community Foundation Women & Girls’ Fund, and Community Foundation of Middlesex County Sari A. Rosenbaum Fund for Women & Girls. The Connecticut Collective for Women and Girls (CCWG), a statewide network for organizations serving women and girls is a primary audience for the platform. The Connecticut Women’s Education and Legal Fund (CWEALF) serves as the administrative backbone for the CCWG and as a collaborator on the WGDP.

The Connecticut Data Collaborative developed and built the Platform for the Collective and the funders with the goal to create a valuable and regularly updated tool.

Data limitations

Race and ethnicity

Native American women and girls are not identified as a separate racial/ethnic group by the public data sources we present because of the small sample size. In several charts, Native Hawaiian and Pacific Islander, people of two or more races, and those classified as "Other" by ACS, were excluded for the same reason.

Gender

Gender identity in the public data sources is only presented in the binary terms of male and female, and does not recognize a more accurate understanding of non-binary, trans or fluid gender identity. We recognize these limitations and will seek to address them as we continue to add data sources to this site.