A listing of DECD administered tax credits that have been allocated and/or earned for projects with agreements executed from FY 2014- November 2023.

Please note- Film, Television & Digital Media tax credit activity has been removed from this dataset and can be found here: https://data.ct.gov/Business/DECD-Film-TV-and-Digital-Media-Tax-Credit-Activity/kjsu-mdny

Notes:
(1) Monthly payments are due to the State by the 15th of the following month.
(2) The operation of the retail sports wagering began on October 25, 2021.
(3) Monthly resettlements are wagers where the original settled wager result is modified due to an error or change in result of the underlying event.
(4) Federal Excise Tax is 0.25% of Net Wagers.
(5) This amount shall only include coupons and credits issued for use for gaming in the state and redeemed in the State of Connecticut.
(6) Per Public Act 21-23, from October 2021 – September 2022 the promotional deduction is limited to the lesser of 25% of online casino gaming Win/Loss, or actual promotional coupons or credits wagered. From October 2022 – September 2023 this limit drops to 20%, and to 15% thereafter.
(7) Payment rate is 13.75% of Gross Gaming Revenue. Monthly Payment is the greater of the calculated Payment or $0 (if calculated Payment is negative).
(8) The operation of the retail sports wagering location Connecticut Lottery Corp – XL Center “CLC – XL Center” began September 2023. All payments received for the CLC – XL Center location are transferred to the Hartford Capital Region Development Authority.
(9) Payments for CT Lottery Corp includes Arooga and all Sportech sports wagering retail locations.

NOTES:
- Please use the following link to leave the data view and view the full description: https://data.ct.gov/Environment-and-Natural-Resources/Hazardous-Waste-Manifest-Data-CT-1984-2008-Generat/72mi-3f82

-Please use ALL CAPS when searching using the "Filter" function on text such as: LITCHFIELD. But not needed for the upper right corner "Find in this Dataset" search where for example "Litchfield" can be used.

Dataset Description:
We know there are errors in the data although we strive to minimize them. Examples include:
• Manifests completed incorrectly by the generator or the transporter - data was entered based on the incorrect information. We can only enter the information we receive.
• Data entry errors – we now have QA/QC procedures in place to prevent or catch and fix a lot of these.
• Historically there are multiple records of the same generator. Each variation in spelling in name or address generated a separate handler record. We have worked to minimize these but many remain. The good news is that as long as they all have the same EPA ID they will all show up in your search results.
• Handlers provide erroneous data to obtain an EPA ID - data entry was based on erroneous information. Examples include incorrect or bogus addresses and names. There are also a lot of MISSPELLED NAMES AND ADDRESSES!
• Missing manifests – Not every required manifest gets submitted to DEEP. Also, of the more than 100,000 paper manifests we receive each year, some were incorrectly handled and never entered.
• Missing data – we know that the records for approximately 25 boxes of manifests, mostly prior to 1985 were lost from the database in the 1980’s.
• Translation errors – the data has been migrated to newer data platforms numerous times, and each time there have been errors and data losses.
• Wastes incorrectly entered – mostly due to complex names that were difficult to spell, or typos in quantities or units of measure.

Since Summer 2019, scanned images of manifest hardcopies may be viewed at the DEEP Document Online Search Portal: https://filings.deep.ct.gov/DEEPDocumentSearchPortal/

The Office of Policy and Management annually develops the full-value estimate of all taxable property within the 169 towns and cities. A ratio of assessment to market value is calculated from real estate sales occurring within each town and city. A separate ratio and full-value estimate is listed for four property types: residential, apartment, commercial/industrial/public utility and vacant land.

The Institute for Municipal and Regional Policy (IMRP) at Central Connecticut State University, in consultation with the Office of Policy and Management (OPM), has established a Racial Profiling Prohibition Advisory Board to help oversee the design, evaluation, and management of the racial profiling study mandated by PA 12-74, “An Act Concerning Traffic Stop Information.” The IMRP is working with the advisory board and all appropriate parties to enhance the collection and analysis of traffic stop data in Connecticut. Resources for the project are being made available through the National Highway Traffic and Safety Administration (NHTSA) grant, as administered through the Connecticut Department of Transportation.

The primary purpose of the project is to monitor and prohibit racial profiling in Connecticut and to comply with NHTSA grant requirements and are outlined below.

Analyze current racial profiling law and make recommendations to the Connecticut General Assembly to better align the statute to legislative intent and current best practices.
Ensure compliance with the racial profiling law in as efficient, effective, transparent and inclusive a manner possible.
Ensure compliance with NHTSA requirements of Section 1906 funding to include:
Fund activities to prohibit racial profiling in the enforcement of State laws regulating the use of Federal-aid highways
Collect, maintain and provide public access to traffic stop data
Evaluate the results of such data; and develop and implement programs to reduce the occurrence of racial profiling, including programs to train law enforcement officers.
The Racial Profiling Prohibition Project Advisory Board and the project staff have been meeting since May 2012 in an effort to outline a plan to successfully implement PA 12-74. The focus of this early phase of the project has been to better understand traffic stop data collection in other states. Four working groups were established to advise on various aspects of the process including; the standardized method for collecting, recording, reporting, and analyzing racial profiling data required by PA 12-74 and to accomplish tasks required to complete the Racial Profiling Prohibition Project.

For more information contact:

Ken Barrone
Policy & Research Specialist
Institute for Municipal & Regional Policy, Central Connecticut State University
Tel: 860.832.1872 or Email: baroneket@ccsu.edu

Table published by the Connecticut Department of Public Health that contains reportable disease data. Each row of data represents a case of disease in a person with the reported state of residence.

Each case is assigned to a report period based on the date of symptom onset or first positive test. The report period is identified by the Report Period Start Date and Report Period End Date. The actual date the case occurred is not included to protect confidentially.

All data are preliminary; data for previous weeks are routinely updated as new reports are received, duplicate records are removed, and data errors are corrected.

The following disease(s) are included in this table:

MPOX (previously called Monkeypox), Influenza, COVID-19, RSV

Connecticut Vital Records — Index of Marriages, 1897-2001

This index allows researchers to find the name, place and date of marriage for couples who were married in Connecticut between 1897 through 2001. The information from this index can be used to request a copy of a marriage certificate from the Town/City Clerk of the municipality listed in the search results. Order forms for vital records requests can be found at this link.

There is no guarantee that the information contained in the index is accurate and the State of Connecticut has no legal liability for any claims resulting from reliance on this information.

This is a list of financial assistance agreements for Fiscal years 2013-2023.

NOTE: As of 2/16/2023, this page is no longer being updated.

This table shows the number and percent of people that have initiated COVID-19 vaccination and are fully vaccinated by race / ethnicity and town. It includes people of all ages.

All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

A person who has received at least one dose of any vaccine is considered to have initiated vaccination. A person is considered fully vaccinated if they have completed a primary series by receiving 2 doses of the Pfizer, Novavax 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.

Race and ethnicity data may be self-reported or taken from an existing electronic health care record. Reported race and ethnicity information is used to create a single race/ethnicity variable. People with Hispanic ethnicity are classified as Hispanic regardless of reported race. People with a missing ethnicity are classified as non-Hispanic. People with more than one race are classified as multiple race.

A vaccine coverage percentage cannot be calculated for people classified as NH Other race or NH Unknown race since there are not population size estimates for these groups. Data quality assurance activities suggest that NH Other may represent a missing value. Vaccine coverage estimates in specific race/ethnicity groups may be underestimated as result of the exclusion of records classified as NH Unknown Race or NH Other Race.

Town of residence is verified by geocoding the reported address and then mapping it a town using municipal boundaries. If an address cannot be geocoded, the reported town is used.
Town-level coverage estimates have been capped at 100%. Observed coverage may be greater than 100% for multiple reasons, including census denominator data not including all individuals that currently reside in the town (e.g., part time residents, change in population size since the census) or potential data reporting errors.
The population denominators for these town- and age-specific coverage estimates are based on 2014 census estimates. This is the most recent year for which reliable town- and age-specific estimates are available. (https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Population/Town-Population-with-Demographics). Changes in the size and composition of the population between 2014 and 2021 may results in inaccuracy in vaccine coverage estimates. For example, the size of the Hispanic population may be underestimated in a town given the reported increase in the size of the Hispanic population between the 2010 and 2020 censuses resulting in inflated vaccine coverage estimates.

The 2014 census data are grouped in 5-year age bands. For vaccine coverage age groupings not consistent with a standard 5-year age band, each age was assumed to be 20% of the total within a 5-year age band. However, given the large deviation from this assumption for Mansfield because of the presence of the University of Connecticut, the age distribution observed in the 2010 census for the age bands 15 to 19 and 20 to 24 was used to estimate the population denominators.

This table does not included doses administered to CT residents by out-of-state providers or by some Federal entities (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) because they are not yet reported to CT WiZ (the CT immunization Information System). It is expected that these data will be added in the future.

Caution should be used when interpreting coverage estimates for towns with large college/university populations since coverage may be underestimated. In the census, college/university students who live on or just off campus would be counted in the college/university town. However, if a student was vaccinated while study

Existing public Electric Vehicle (EV) charging stations within Connecticut from
US DOE map found at https://afdc.energy.gov/stations/#/find/nearest
complemented with research done by DEEP as of 05/27/2020