COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken out by age group. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the daily COVID-19 update.
Data are reported daily, with timestamps indicated in the daily briefings posted at: portal.ct.gov/coronavirus. Data are subject to future revision as reporting changes.
Starting in July 2020, this dataset will be updated every weekday.
A delay in the data pull schedule occurred on 06/23/2020. Data from 06/22/2020 was processed on 06/23/2020 at 3:30 PM. The normal data cycle resumed with the data for 06/23/2020.
A network outage on 05/19/2020 resulted in a change in the data pull schedule. Data from 5/19/2020 was processed on 05/20/2020 at 12:00 PM. Data from 5/20/2020 was processed on 5/20/2020 8:30 PM. The normal data cycle resumed on 05/20/2020 with the 8:30 PM data pull. As a result of the network outage, the timestamp on the datasets on the Open Data Portal differ from the timestamp in DPH's daily PDF reports.
Payments to businesses and other entities are at the core of State spending transparency. This data allows citizens to view who received payments from the State for goods or services and how much they received. Data from the CORE-CT Financial Accounting System are summarized by Agency, Payee, and Expense Account. 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 it might be a violation of protected information, in the case of Department of Criminal Justice Investigations. These redacted names appear as "REMOVED FOR PRIVACY." This data is static and is not live-updated.
This dataset contains the official listing of all public educational organizations in Connecticut as of October 1, 2020. Data elements include district name, school name, organization type, organization code, address, open date, interdistrict magnet status and grades offered.
Included data are collected by the CT State Department of Education (CSDE) through the Directory Manager (DM) portal in accordance with Connecticut General Statute (C.G.S.) 10-4. This critical information is used by other data collection systems and for state and federal reporting.
Online tool developed through a partnership between the Connecticut Secretary of the State and the Connecticut Data Collaborative, this portal allows for full-text searching, exploration and downloading of business registration records.
A mill is equal to $1.00 of tax for each $1,000 of assessment. To calculate the property tax, multiply the assessment of the property by the mill rate and divide by 1,000. For example, a property with an assessed value of $50,000 located in a municipality with a mill rate of 20 mills would have a property tax bill of $1,000 per year.
Local property tax mill rates have been set for individual Connecticut municipalities for fiscal year 2016-2017. These rates are based upon the 2015 grand list and are available below. These are the most current mill rates and are reflected in each municipality's July 2016 tax bills
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.