AndreaBozzo/ceres-open-data-index huggingface dataset:
Housing and Segregation Study - Race/Ethnicity Indices

Section 62 of Public Act 21-2, June Special Session, as modified by Section 71 of Public Act 23-204, required the Office of Policy and Management (OPM) to conduct a “Housing and Segregation Study”. This dataset is one of the products of the Housing and Segregation Study. 

This dataset shows "Matrices of Segregation" calculated for various Connecticut geographies (https://www.census.gov/topics/housing/housing-patterns/guidance/appendix-b.html)
Impaired Lake 2006

<p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 303(d) Impaired Waters 2006 is a subset of Connecticut 305(b) Assessed Waters 2006. If any one of the assigned designated uses is categorized as NOT Supporting, the assessed waterbody is included in this subset and is considered impaired. Additional information about Integrated Water Quality reporting is available on the CT DEEP website, <a href='https://portal.ct.gov/DEEP/Water/Water-Quality/Water-Quality-305b-Report-to-Congress' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>Integrated Water Quality Report</a> page. </font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 305(b) Assessed Waters files includes rivers, lakes and estuaries that have been assessed in compliance with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody.</font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>This assessment is based on information collected and compiled prior to 2006. It represents conditions at a particular point in time and does not represent current conditions. Depending on the type of waterbody - river, lake, or estuary - this information geographically displays attainment and non-attainment (e.g. full supporting, not supporting, not assessed) for each designated use - aquatic life, marine aquatic life, recreation use, fish consumption, shellfish harvesting, and drinking water supply.</font></p>
Transfer Of Guardianship by SFY, DCF Office, Race and Length of Stay

This dataset contains aggregate data concerning the number of children that exited DCF care to a Transfer of Guardianship.  These figures are broken out by the DCF Region and Office responsible for the child's care, by their Race/Ethnicity, and by whether their exit from care occurred within 24 months of their entry to care or not.  It would be appropriate to roll up the data from all variables across multiple time periods, as they represent specific events in the lives of these children.  Please note that these figures do not represent unique children, and so should not be used as the basis for creating a rate based on the child population of the state.  These data form the basis of measurement for the Juan F. Consent Decree Exit Plan Outcome #9: Transfer of Guardianship Within 24 Months, although those figures are reported to the DCF Court Monitor on a quarterly rather than annual schedule.
Mpox Vaccinations by County

Data last updated 12/29/2022. Data are not currently being routinely updated. For more information about mpox, including vaccine eligibility criteria, see the DPH mpox webpage: ct.gov/dph/mpox.

Table published by the Connecticut Department of Public Health that contains the cumulative number of people by county of residence who have received at least one dose of JYNNEOS vaccine reported to CT WiZ (the Connecticut Immunization Information System).  

Currently vaccination is prioritized for individuals at the highest risk of exposure to someone with mpox. Since the size of this population is not known, the number vaccinated is reported without the vaccine coverage percentage. 

This table excludes residents of other states vaccinated in Connecticut. Connecticut residents vaccinated out of state are included if they were vaccinated in a jurisdiction that has established electronic vaccination data exchange with Connecticut (as of 8/31/2022, this is NYC, RI, NJ, DE, NV, Philadelphia).
Connecticut COVID-19 Community Levels by County as Originally Posted - Archive

This public use dataset has 11 data elements reflecting COVID-19 community levels for all available counties. This dataset contains the same values used to display information available at https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels-county-map.html.

CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

Using these data, the COVID-19 community level is classified as low, medium , or high.

COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals. See https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels.html for more information.

Visit CDC’s COVID Data Tracker County View* to learn more about the individual metrics used for CDC’s COVID-19 community level in your county. Please note that county-level data are not available for territories. Go to https://covid.cdc.gov/covid-data-tracker/#county-view.
Municipal Fiscal Indicators 2009-2013

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Intergovernmental Policy Division (IGP), Municipal Finance Services Unit (MFS). The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut.

Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, IGP Division. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.
Learning Model by School District, 2020-2021

This dataset includes the learning models (in-person, hybrid, and remote) by grade level by public school district during a given week of the 2020-2021 school year. 

When an asterisk is displayed, 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.

Additional notes:
Starting in the reporting period for 11/16-11/20, the columns "Percentage of students who are fully remote" and "Total number of students in the district" will no longer be updated due to changes in the data being collected from schools. More detailed data on student enrollment and attendance data is available at the school-level (https://data.ct.gov/Education/School-Attendance-by-School-2020-2021/jahr-cskc) and district level (https://data.ct.gov/Education/School-Attendance-by-District-2020-2021/a4ya-h6eq) on the Open Data Portal and on the EdSight page here: http://edsight.ct.gov/relatedreports/Supporting%20Student%20Participation%20in%202020-21.html.
Impaired 2018 River, Lake, Estuary Set

<p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 303(d) Impaired Waters 2018 is a subset of Connecticut 305(b) Assessed Waters 2018. If any one of the assigned designated uses is categorized as NOT Supporting, the assessed waterbody is included in this subset and is considered impaired. Additional information about Integrated Water Quality reporting is available on the CT DEEP website, <a href='https://portal.ct.gov/DEEP/Water/Water-Quality/Water-Quality-305b-Report-to-Congress' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>Integrated Water Quality Report</a> page. </font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 305(b) Assessed Waters files includes rivers, lakes and estuaries that have been assessed in compliance with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody.</font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>This assessment is based on information collected and compiled prior to 2018. It represents conditions at a particular point in time and does not represent current conditions. Depending on the type of waterbody - river, lake, or estuary - this information geographically displays attainment and non-attainment (e.g. full supporting, not supporting, not assessed) for each designated use - aquatic life, marine aquatic life, recreation use, fish consumption, shellfish harvesting, and drinking water supply.</font></p>
Real Estate Sales 2001-2023 GL

The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment.

Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. 
Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019.

Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.
2013 OPM JAG Local Pass Through Grants: Police Video Equipment Technology (PVET)

This dataset provides detail on projects funded through the 2013 OPM JAG Local Pass Through Grant for Police Video Equipment Technology (PVET). Approximately $2.6 million of federal funds was distributed to nine police departments/municipalities with the primary purpose to assist towns in complying with Public Act 11-174 AAC Electronic Recording of Interrogations.  

Public Act 11-174, An Act Concerning the Electronic Recording of Interrogations, requires the electronic recording of interrogations in certain situations beginning on January 1, 2014. The Office of the Chief States Attorney (OCSA), in conjunction with the Police Officer Standards and Training Council, the Connecticut Police Chiefs Association  and the Connecticut State Police, developed the standards for a digital audiovisual  recording system for implementation of the statute.

The State of Connecticut Office of Policy and Management (OPM) provided grant funds under the Police Video Equipment Technology (PVET) program to assist local governments with purchasing equipment necessary for conformance with the PA 11-174 standards. OPM developed the grant program parameters in collaboration with the Connecticut Police Chiefs Association.
Bedrock Geology

Bedrock Geology Set is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut. Bedrock geologic formations are described as polygons in terms of formation name (incorporating geologic age), rock type, and tectonic terrane association. Tectonic forces are responsible for the present day geologic configuration of the continents. Resulting terranes are regionally fault bounded rocks of a similar tectonic history. Each terrane is named after its plate tectonics ancestry. Geologic lines include contacts, faults, and terrane boundaries. Terrane boundaries are named for the faults involved. The geologic contacts and faults are delineated and classified by type. Polygon feature attribute information is comprised of codes to identify individual bedrock geologic units, their formation name, description and size. Line feature attributes identify, name and describe bedrock contacts, faults and terrane boundaries between these bedrock geologic units. Data is compiled at 1:50,000 scale and is not updated. A complete description of the bedrock mapping units with mineralogical descriptions and a brief history of Connecticut geology are included in the Supplemental Information Section for reference.

Connecticut Bedrock Geology is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut. Bedrock geologic formations are described as polygons in terms of formation name (incorporating geologic age), rock type, and tectonic terrane association. Tectonic forces are responsible for the present day geologic configuration of the continents. Resulting terranes are regionally fault bounded rocks of a similar tectonic history. Each terrane is named after its plate tectonics ancestry. Geologic lines include contacts, faults, and terrane boundaries. Terrane boundaries are named for the faults involved. The geologic contacts and faults are delineated and classified by type. Polygon feature attribute information is comprised of codes to identify individual bedrock geologic units, their formation name, description and size. Line feature attributes identify, name and describe bedrock contacts, faults and terrane boundaries between these bedrock geologic units. Data is compiled at 1:50,000 scale and is not updated. A complete description of the bedrock mapping units with mineralogical descriptions and a brief history of Connecticut geology are included in the Supplemental Information Section for reference.
Childhood Lead Poisoning: Relative Risk by Race/Ethnicity

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk.

This dataset shows the relative risk of childhood lead poisoning by race/ethnicity.
DEEP Trails Set

DEEP Trails Set:

Trail Access Points are point features in the Statewide Trails Database that describe where trails are accessed at trail heads, state and municipal parks and forests, or other points of departure. Trail Points of Interest are point features in the Statewide Trails Database that describe where there are scenic overlooks, bridges, river crossings or other historic or geologic sites of interest along trails. These features are directly located along trails and do not describe amenities commonly found on park grounds such as parking areas, picnic areas, and restrooms. Trail Point of Interest features are optional. Trails are line features in the Statewide Trails Database that describe the location of single and multi-use trails, access trails, connector trails, and regional trails. These features may also describe bike routes along public roads and their relationship with connecting multi-use paved trails used for walking, running, inline-skating, and bicyling, for example. Trail features describe hiking trails, nature trails, bike routes, and Americans with Disabilities Act (ADA) accessible trails such as certain walkways, boardwalks and stone dust surfaced trails. Individual trail features are described in terms of their surface type (unpaved, paved, unpaved road, paved road, etc.) and whether activities such as hiking, walking, running, inline skating, bicycling, mountain biking, motorbiking, all terraine vehicle use, snowmobiling, cross-country skiing, and horseback riding are permitted. Also indicates whether leashed or unleashed dogs are allowed. Roadway line features are optional features in the Statewide Trails Database used to place a trail system in context with nearby park roads or park entrance. They are very simple line features used to represent driveways, park roads, forest roads, and occasionally public roads on or along the public property where the trail system exists. Roadway line features are optional. They are not used for mapping bike routes. Trail line features are used for mapping bike routes.
Municipal Fiscal Indicators: Benchmark Labor Data, 2019-2024

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Office of Finance, Municipal Finance Services Unit (MFS). Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities.

The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. The data includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, Office of Finance. Unlike prior years' where the audited financial information was compiled by OPM, the FY 2020 and beyond information in this edition was based upon the self-reporting by municipalities of their own audited data.

The unemployment data is the calendar year average. The CT Department of Labor publishes the unemployment percentages monthly. For comparative purposes, the information presented for calendar years 2019 to 2022 in this publication, have been benchmarked to calendar year 2023 and therefore may not agree with unemployment figures provided in earlier editions of MFI. 

The most recent edition is for the Fiscal Years Ended 2019-2023 published in September 2025.

The most recent data on the Municipal Fiscal Indicators is included in the following datasets:

The most recent data on the Municipal Fiscal Indicators is included in the following datasets:

Municipal-Fiscal-Indicators: Financial Statement Information, 2020-2023
https://data.ct.gov/d/d6pe-dw46

Municipal-Fiscal-Indicators: Uniform Chart of Accounts, 2020-2023
https://data.ct.gov/d/e2qt-k238

Municipal Fiscal Indicators: Pension Funding Information for Defined Benefit Pension Plans, 2020-2023
https://data.ct.gov/d/73q3-sgr8

Municipal Fiscal Indicators: Type and Number of Pension Plans, 2020-2023
https://data.ct.gov/d/i84g-vvfb

Municipal Fiscal Indicators: Other Post-Employment Benefits (OPEB), 2020-2023
https://data.ct.gov/d/ei7n-pnn9

Municipal Fiscal Indicators: Economic and Grand List Data, 2019-2025
https://data.ct.gov/d/xgef-f6jp

Municipal Fiscal Indicators: Benchmark Labor Data, 2019-2024
https://data.ct.gov/d/5ijb-j6bn

Municipal Fiscal Indicators: Bond Ratings, 2019-2023
https://data.ct.gov/d/a65i-iag5

Municipal Fiscal Indicators: Individual Town Data, 2014-2023
https://data.ct.gov/d/ej6f-y2wf

Municipal Fiscal Indicators: Totals and Averages, 2014-2023
https://data.ct.gov/d/ryvc-y5rf
SVI (Social Vulnerability Index) Priority Zip Code Vaccination Dashboard - ARCHIVE

As of 1/19/2022, this dataset is no longer being updated. For more data on COVID-19 in Connecticut, visit data.ct.gov/coronavirus. 

This tables shows the percent of people who have received at least one dose of COVID-19 vaccine who live in a Priority SVI Zip Code.  About a third of people in CT live in a Priority SVI zip code. 

SVI refers to the CDC's Social Vulnerability Index - a measure that combines 15 demographic variables to identify communities most vulnerable to negative health impacts from disasters and public health crises. Measures of social vulnerability include socioeconomic status, household composition, disability, race, ethnicity, language, and transportation limitations - among others.  SVI scores were calculated for each zip code in CT.  The zip codes in the top 20% were designated as Priority SVI zip codes.  Percentages are based on 2018 zip code population data supplied by ESRI corporation.    
 
All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

The data are presented cumulatively and by week of first dose of vaccine.  Percentages are reported for all providers combined and for pharmacies, FQHCs (Federally Qualified Health Centers), local public health departments / districts and hospitals. The table excludes people with a missing or out-of-state zip code and doses administered by the Federal government (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) or out-of-state providers.
Housing and Segregation Study - Income Segregation (Gini Index)

Section 62 of Public Act 21-2, June Special Session, as modified by Section 71 of Public Act 23-204, required the Office of Policy and Management (OPM) to conduct a “Housing and Segregation Study”. This dataset is one of the products of the Housing and Segregation Study.

This dataset shows "Income Segregation (Gini Index)" for various Connecticut geographies.