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School Attendance by Student Group and District, 2020-2021
data.ct.gov | Last Updated 2023-08-15T18:26:30.000ZThis dataset includes the attendance rate for public school students PK-12 by student group and by district during the 2020-2021 school year. Student groups include: Students experiencing homelessness Students with disabilities Students who qualify for free/reduced lunch English learners All high needs students Non-high needs students Students by race/ethnicity (Hispanic/Latino of any race, Black or African American, White, All other races) Attendance rates are provided for each student group by district and for the state. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.
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DCF Children in Placement: Annual Point-in-Time Trend By Gender
data.ct.gov | Last Updated 2023-09-12T18:03:43.000ZThis dataset contains aggregate data concerning the number of unique children placed in open DCF placements on the observation date (July 1st each year). These figures are broken out by the DCF Region and Office responsible for the child's care, the child's Gender, whether the placement setting is in or out-of-state, and by the categorical Placement Type in which the child is residing on the observation date.
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State of CT: Open Expenditures - Ledger
data.ct.gov | Last Updated 2024-08-20T06:28:57.000ZThis data allows citizens to view who received payments from the state for goods or services and how much they received. The data can be explored by searching for specific payee names or by browsing by Government Function. <a href="http://opencheckbook.ct.gov">The Open Checkbook app</a> allows the user to drill down from aggregated spending accounts all the way down to each individual payment to a payee. The data is updated nightly and therefore reflects current spending activities more accurately than any other publicly available source. In general the data reflects all payments made up to 24 to 48 hours prior to view. Certain payee names have been removed in order to protect the privacy of individuals, in accordance with Health Insurance Portability and Accountability Act (HIPAA) regulations or where the information is otherwise protected by law. Redacted information includes: •Payees who are statutorily protected •Information that would lead to violating HIPAA laws •Information of Minors
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COVID-19 Vaccinations by Race/Ethnicity - ARCHIVE
data.ct.gov | Last Updated 2023-08-02T16:14:25.000ZNOTE: After 5/20/2021, this dataset will no longer be updated and will be replaced by the new dataset: "COVID-19 Vaccinations by Race/Ethnicity" (https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Race-Ethnicity/4z97-pa4q). Cumulative number and percent of people who initiated COVID-19 vaccination and who are fully vaccinated by race/ethnicity for select age groups (ages 16+, ages 65-74, and ages 75+) as reported by providers. Population estimates are based on 2019 CT population estimates. The 2019 CT population data which is the most recent year available. The tables that show the percent vaccinated by town and age group are an exception. These tables use 2014 CT population estimates. This the most recent year for which reliable estimates by town and age are available. A person who has received one dose of any vaccine is considered to have received at least one dose. A person is considered fully vaccinated if they have received 2 doses of the Pfizer or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the number who have received at least one dose. The number with At Least One Dose and the number Fully Vaccinated add up to more than the total number of doses because people who received the Johnson & Johnson vaccine fit into both categories. In this data, a person with reported Hispanic or Latino ethnicity is considered Hispanic regardless of reported race. The category Unknown includes unknown race and/or ethnicity. The percent of people classified as Other race (not specified) and Multiple race in CT WiZ (for COVID-19 vaccine records and all other vaccine records) are higher than would be expected based on census data. Other race, Multiple race and Unknown include people who should be classified as Asian, Black, Hispanic and White. Therefore, the coverage of these groups may be underestimated and should be interpreted with caution. The estimates for the category Multiple Races are considered unreliable All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Note: As part of continuous data quality improvement efforts, duplicate records were removed from the COVID-19 vaccination data during the weeks of 4/19/2021 and 4/26/2021.
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COVID-19 case rate per 100,000 population and percent test positivity in the last 7 days by town - ARCHIVE
data.ct.gov | Last Updated 2023-08-02T16:11:04.000ZDPH note about change from 7-day to 14-day metrics: As of 10/15/2020, this dataset is no longer being updated. Starting on 10/15/2020, these metrics will be calculated using a 14-day average rather than a 7-day average. The new dataset using 14-day averages can be accessed here: https://data.ct.gov/Health-and-Human-Services/COVID-19-case-rate-per-100-000-population-and-perc/hree-nys2 As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well. With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county). This dataset includes a weekly count and weekly rate per 100,000 population for COVID-19 cases, a weekly count of COVID-19 PCR diagnostic tests, and a weekly percent positivity rate for tests among people living in community settings. Dates are based on date of specimen collection (cases and positivity). A person is considered a new case only upon their first COVID-19 testing result because a case is defined as an instance or bout of illness. If they are tested again subsequently and are still positive, it still counts toward the test positivity metric but they are not considered another case. These case and test counts do not include cases or tests among people residing in congregate settings, such as nursing homes, assisted living facilities, or correctional facilities. These data are updated weekly; the previous week period for each dataset is the previous Sunday-Saturday, known as an MMWR week (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). The date listed is the date the dataset was last updated and corresponds to a reporting period of the previous MMWR week. For instance, the data for 8/20/2020 corresponds to a reporting period of 8/9/2020-8/15/2020. Notes: 9/25/2020: Data for Mansfield and Middletown for the week of Sept 13-19 were unavailable at the time of reporting due to delays in lab reporting.
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DCF Children in Placement: Annual Point-in-Time Trend By Race/Ethnicity
data.ct.gov | Last Updated 2023-09-12T18:01:54.000ZThis dataset contains aggregate data concerning the number of unique children placed in open DCF placements on the observation date (July 1st each year). These figures are broken out by the DCF Region and Office responsible for the child's care, the child's Race/Ethnicity, whether the placement setting is in or out-of-state, and by the categorical Placement Type in which the child is residing on the observation date.
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School Attendance by Town, 2020-2021
data.ct.gov | Last Updated 2023-08-15T18:29:11.000ZThis dataset includes the attendance rate for public school students PK-12 by town during the 2020-2021 school year. Attendance rates are provided for each town for the overall student population and for the high needs student population. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.
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Weekly DSS Application Activity Before and During COVID-19 Emergency
data.ct.gov | Last Updated 2023-08-30T19:24:10.000ZPaper and online applications submitted directly to the Department of Social Services by week since the week of 2/3/2020. Does not include MAGI Medicaid or CHIP applications. Includes: Weekly applications received: All programs Weekly applications received: Cash assistance Weekly applications received: Non-MAGI medical assistance Weekly applications received: SNAP Daily average applications received: All programs Daily average applications received: Cash assistance Daily average applications received: Non-MAGI medical assistance Daily average applications received: SNAP Percentage of weekly applications: Cash assistance Percentage of weekly applications: Non-MAGI medical assistance Percentage of weekly applications: SNAP Weekly Percent Change Compared to Average Week before Mar 16 (baseline): All programs Weekly Percent Change Compared to Average Week before Mar 16 (baseline): Cash assistance Weekly Percent Change Compared to Average Week before Mar 16 (baseline): Medical assistance Weekly Percent Change Compared to Average Week before Mar 16 (baseline): SNAP Data updated weekly.
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College Enrollment, Credit Attainment and Remediation of High School Graduates by District
data.ct.gov | Last Updated 2023-08-31T17:23:24.000ZThe data here is from the report entitled Trends in Enrollment, Credit Attainment, and Remediation at Connecticut Public Universities and Community Colleges: Results from P20WIN for the High School Graduating Classes of 2010 through 2016. The report answers three questions: 1. Enrollment: What percentage of the graduating class enrolled in a Connecticut public university or community college (UCONN, the four Connecticut State Universities, and 12 Connecticut community colleges) within 16 months of graduation? 2. Credit Attainment: What percentage of those who enrolled in a Connecticut public university or community college within 16 months of graduation earned at least one year’s worth of credits (24 or more) within two years of enrollment? 3. Remediation: What percentage of those who enrolled in one of the four Connecticut State Universities or one of the 12 community colleges within 16 months of graduation took a remedial course within two years of enrollment? Notes on the data: District Credit: % Earning 24 Credits is a subset of the % Earning 16 Credits District Remed: % Enrolled in Remediation is a subset of the % Enrolled in 16 Months
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DCF Temporary Aid to Needy Families (TANF) Claimed Funds By Program, Provider and Calendar Quarter
data.ct.gov | Last Updated 2024-03-22T21:59:38.000ZProviders of services reimbursed (partially or fully) by the federal government must periodically determine whether the amounts of the reimbursement for said services exceed a certain threshold, above which the provider must perform (or hire someone to perform), an audit of their records. The purpose of this dataset is to give Providers of DCF contracted services the amounts for which the state of CT has claimed federal reimbursement for under TANF so that they can determine whether or not they will require an audit. Each row in the dataset represents the amount that CT has claimed TANF reimbursement for a specific provider, program and reporting quarter