The American Community Survey (ACS) is administered by the United States Census Bureau on an ongoing basis, from January through December of every year. The 2021 ACS 5-year estimates (covering the period from January 2017 through December 2021) were released on December 8, 2022. As usual, we have created an interactive tool for you to explore the data.
Our interactive tool covers a variety of topics, including economic, demographic, education, language, and many other data topics disaggregated by town along with comparisons to previous 5-year periods.
The 2020 Decennial Census faced unprecedented challenges: the COVID-19 pandemic, political interference, natural disasters, and the implementation of a new approach to privacy protection called differential privacy. We invited two experts to share what this means for using Census 2020 data. Amy O’Hara is a Research Professor in the Massive Data Institute and Executive Director of the Federal Statistical Research Data Center at Georgetown University. Elizabeth Garner is the State Demographer at the Colorado State Demography Office.
Each year, the Census Bureau produces population estimates for each state and county that are different than the ACS t-year survey that many of us are used to. These are called Population Estimates, and these are the official measures of population & housing units between decennial censuses. In this conference session, you will learn about the methodology that undergirds these annual data and learn about the ways you can access the data through the US Census Bureau.
The Longitudinael-Employer Household Dynamics Data (LEHD) Products combines state administrative data with census data to understand various aspects of the workforce. During this conference session, we learned about several of the LEHD products, and learned how to use them. Watch the video to learn how you can use these products to inform your decision-making.
CTData has been busy this year, growing and offering more products and services that can help you with making sound decisions with data. The links to information we shared during the session is available here. The recording will be made available below after the session.
At CTData Conference 2022, Eva Liu and Steve Gates from Chicago Beyond joined us to talk about the seven inequities standing in the way of impact from the guidebook, Why am I Always Being Researched.
TheHartford Data Collaborativehas opened its application for Hartford youth to join HDC starting in January 2023. TheHartford Youth Data Fellowshipis a 5-month data training and community-based project development program for Hartford students as part of the Hartford Data Collaborative. The program is designed to increase data literacy and analysis skills for high school seniors and college students and improve their confidence in interpreting data and sharing their insights with others. These skills and experiences will serve youth in their college and career explorations and provide an analytic foundation for youth interested in using data to make an impact in the Hartford community.
From the American Community Survey, 5-year estimates for 2016-2020, we looked at three data tables for Connecticut's population with a disability: population, employment, and median earnings. Below are some of the highlights from the data.
This week marks the end of Hispanic Heritage Month, a reminder for the nation to recognize and celebrate our Hispanic and Latino community members.
In this blog post, we share a profile of Connecticut’s large and vibrant Hispanic and Latino population using data from the 2010 and 2020 Decennial Census and the 2021 American Community Survey (ACS) 1-year estimates.
Whether you work with data frequently or every once in a blue moon, you'll know that data really doesn’t speak for itself. If you were to hand a few graphs to your audience, they would likely be disinterested or, worse, walk away with inaccurate conclusions about the data.
The Covid-19 pandemic has impacted the lives of Connecticut residents in many ways, from introducing many workers to remote work to exacerbating the financial struggles of others. Last year, the U.S. Census Bureau announced that standard 2020 ACS 1-year estimates would not be released, as Covid-19 severely impacted the data collection process and ultimately resulted in estimates that did not meet the Census Bureau’s Statistical Data Quality Standards. The Census Bureau was able to work through data collection challenges this year and released ACS 2021 1-year estimates on September 15, 2022.
In this post, we analyze changes from pre-pandemic (2019 ACS 1-year estimates) to the most recent time frame of data we have (2021 ACS 1-year estimates) to explore the impact of the pandemic on Connecticut residents and workers.
As of March 2022, over 45 million residents in the United States had outstanding principal and interest balances on their federal student loans, with an average balance of $35,685 per borrower. The Census Bureau reports 156 million residents who have at least some college education, meaning nearly 3 in 10 (29%) who attended or are attending higher education have outstanding student debt. This results in a total of over $1.6 trillion in outstanding debt, not including balances from private loans. Note that 9% of these borrowers were unable to be categorized into one of the fifty states (these categories included Puerto Rico, District of Columbia, Other, and Not Reported).
This post will explore and further dive into the student loan portfolio data published by the U.S. Department of Education.
Data users - we are gearing up for the last quarter of 2022 with the Equity in Data Community of Practice! We have all learned a great deal together so far in 2022, and the planning team has come up with an exciting fall lineup.
If you are unfamiliar with Equity In Data Community Of Practice, we are a group of data users in Connecticut (mostly) supporting one another as we work toward integrating more equitable data practices. We focus on racial equity explicitly but not exclusively. Our group is a project of the Connecticut Data Collaborative.
This past spring Hartford Data Collaborative launched a Hartford Youth Researcher program to give youth within Hartford an opportunity to review, analyze, and report on data related to Youth Behavioral Health alongside staff from the Hartford Data Collaborative. As they continue their mission, Hartford Youth scholar researcher Nathaniel Gardner, inspired by his community, created a Hartford Youth Profile which captures the core characteristics and values of youth in Hartford. This data was created from sources retrieved from CTData, EdSight, and the US Census.
On August 16th, the U.S. Census Bureau released coverage estimates for housing units from the 2020 Post-Enumeration Survey (PES). These results provide insight into the accuracy of the 2020 Census counts of housing units(not to be confused with counts of people). The coverage estimates are provided nationally, by region and state, and by type of housing unit (e.g., single unit versus multiunit and owner- versus renter-occupied) and characteristics of the householder (e.g., race and ethnicity).
This blog post reviews key findings for housing unit coverage estimates nationally, and for Connecticut and other states.
On July 25th, the U.S. Census Bureau in collaboration with Harvard University released a new interactive data tool on young adult migration. The data tool tracks patterns of migration between all 741 commuting zones in the U.S. from childhood (measured at age 16) to young adulthood (measured at age 26), for individuals with a Social Security Number who were born in the U.S. between 1984 and 1992.
Migration patterns are provided for the full sample and disaggregated by parental income quintile and by four categories of race and ethnicity (Hispanic, non-Hispanic Asian, non-Hispanic Black, and non-Hispanic White).
In this blog post, we report some findings from the tool on migration patterns for Connecticut residents.
The Post-Secondary Employment Outcomes (PSEO) data are an experimental data product developed by the Census Bureau that provides earnings and employment outcomes for college and university graduates by degree level, degree major, and post-secondary institution. The data are generated by matching university transcript data from participating universities with a national database of jobs compiled by the Longitudinal Employer-Household Dynamics Program (LEHD) at the Census Bureau.
On June 8th, the Hartford Data Collaborative (HDC) hosted its first Data Walk focused on data about youth engagement in Hartford. Earlier this spring, the Hartford Data Collaborative launched its inaugural cohort of Hartford Youth Researchers. HDC coordinators Kate Eikel and Geethika Fernando co-led the presentation of data with Hartford Youth Researchers Shian Earlington, Nicaury Espinoza, Nate Gardner, Winder Munoz, and Daniel White. Officials from the City of Hartford Department of Families, Children, Youth, and Recreation; the Mayor’s office; the Hartford Public Schools; the Hartford Foundation for Public Giving; and HDC community partners including Capital Workforce Partners, COMPASS Youth Collaborative, and Our Piece of the Pie, attended the presentation and engaged in a discussion about the findings afterwards.
This article, about a group of Trinity College students that took an 87-page legal document and turned it into easy-to-read graphics that the people most affected by this agreement might be able to understand and interact with, caught the attention of many. For our June session, we had guests who supported this intriguing data work talk with us about the process they used and what they learned. We hope you find this 60 minute discussion and presentation as useful as we did. And if you’d like to learn more, we hope you’ll join us at next month’s session of the Equity in Data Community of Practice.
