AndreaBozzo/ceres-open-data-index huggingface dataset:
Formal Enforcement Case Summaries 1999-2021

Formal Enforcement Case Summaries between 1999-2021(Sep. 2021)

Formal enforcement summaries provide a brief description of violations, civil penalties and/or supplemental environmental projects, as appropriate, and a link to the enforcement document.

In the past, DEEP has included administrative consent orders when providing enforcement summaries. Since 2019, DEEP has included the following formal enforcement actions in addition to consent orders: cease and desist orders, unilateral orders, and stipulated judgments. Since 2022, DEEP lists all formal enforcement actions, including consent orders, unilateral orders (includes cease and desist and red tags), penalty notices, stipulated judgements, asset forfeitures, contempt orders, federal consent decrees, federal court orders, settlement agreements, and state court orders on the CT Open Data Portal. Use filters such as town, date, or program for reviewing the data.

Red Tags orders are administered by our DEEP UST Enforcement and can be found separately on the CT Open Data Portal. In the CT Open Data Portal, go to Underground Storage Tanks (USTs) - Enforcement Summary, https://data.ct.gov/Environment-and-Natural-Resources/Underground-Storage-Tanks-USTs-Enforcement-Summary/sfgx-68fy, select view data and filter by type. 

For further information on a formal enforcement action, please contact the Office of Planning and Program Development (OPPD) at DEEP.OPPD@ct.gov.
Vehicle Crash Data Repository

The Connecticut Crash Data Repository (CTCDR) is a web tool designed to provide access to select crash information collected by state and local police. This data repository enables users to query, analyze and print/export the data for research and informational purposes. The CTCDR is comprised of crash data from two separate sources; The Department of Public Safety (DPS) and The Connecticut Department of Transportation (CTDOT).

The purpose of the CTCDR is to provide members of the traffic-safety community with timely, accurate, complete and uniform crash data. The CTCDR allows for complex queries of both datasets such as, by date, route, route class, collision type, injury severity, etc. For further analysis, this data can be summarized by user-defined categories to help identify trends or patterns in the crash data.
CT Vicinity State Polygon

Connecticut and Vicinity State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer.
This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)
Impaired 2010 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 2010 is a subset of Connecticut 305(b) Assessed Waters 2010. 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 2010. 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>
DCF Children in Placement:  Annual Point-in-Time Trend By Race/Ethnicity

This 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.
Substantiated Children With Safety Maintained 6 Months:  Annual Trend By Race/Ethnicity

This dataset contains aggregate data concerning the number of children with substantiated abuse/neglect reports, and for whom the end of a 6 month observation period (starting with either the date the substantiated report had been accepted, or the specific incident date if one was provided) terminated during the SFY.  These figures are broken out by the DCF Region and Office responsible for the child's care, by their Race/Ethnicity, and by whether another report of substantiated abuse/neglect occurred within 12 months of the first substantiation 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.  These data form the basis of measurement for the Juan F. Consent Decree Exit Plan Outcome #7: Safety Maintained (No Repeat Maltreatment), although those figures are reported to the DCF Court Monitor on a quarterly rather than annual schedule.
CT Occupational Employment & Wages (OES) - 2022-Q1

The Connecticut Occupational Employment and Wage data provides employment and wage data by occupation and is based on the results of the Occupational Employment Statistics (OES) survey. The OES program conducts a bi-annual mail survey designed to produce estimates of employment and wages for over 800 occupations. These estimates are generated at the national, state, and metropolitan area levels. For more information, please visit us at http://www1.ctdol.state.ct.us/lmi/wages/default.asp.
Agency Data Officers

C.G.S. 4-67p requires executive branch agencies to designate an Agency Data Officer to serve as the primary contact for inquiries, requests, and concerns about access to data at their agency, and to be responsible for implementing the provisions of C.G.S. 4-67p, including the development of an inventory of the agency's high value data and the creation of an open data access plan for the agency. 

Definitions can be found here: https://www.cga.ct.gov/current/pub/chap_050.htm#sec_4-67p

This dataset includes a list of the name and contact information for the Agency Data Officers.
Impaired 2024 River Lake Estuary Set

<p>Connecticut 303(d) Impaired Waters 2024 is a subset of Connecticut 305(b) Assessed Waters 2024. 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, Integrated Water Quality Report page.&nbsp;<br />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.<br />This assessment is based on information collected and compiled prior to 2024. 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.</p><p>&nbsp;</p>
Environmental Justice 2022 Set

<p style='margin-bottom:0in; background:white;'></p><p style='margin-top:12.0pt; margin-right:0in; margin-bottom:0in; margin-left:0in; background:white;'><span style='font-family:&quot;Calibri&quot;,sans-serif; color:black;'>Environmental Justice Block Groups 2022 was created from
Connecticut block group boundary data located in the Census Bureau's 2020
TIGER/Line Shapefiles. The poverty data used to determine which block groups
qualified as EJ communities (see CT State statute 22a-20a) was based on the
Census Bureau's 2020 ACS 5-year estimate. This poverty data was joined with the
block group boundaries in ArcPro. Block groups in which the percent of the
population below 200% of the federal poverty level was greater than or equal to
30.0 were selected and the resulting selection was exported as a new shapefile.
The block groups were then clipped so that only those block groups outside of
distressed municipalities were displayed. Maintenance – This layer will be
updated annually and will coincide with the annual distressed municipalities
update (around August/September). The latest ACS 5-year estimate data should be
used to update this layer. Environmental Justice Distressed Municipalities 2020
was created from Connecticut town boundary data located in the Census Bureau's
2020 TIGER/Line Shapefiles (County Subdivisions). </span></p>

<p style='margin-top:12.0pt; margin-right:0in; margin-bottom:0in; margin-left:0in; background:white;'><span style='font-family:&quot;Calibri&quot;,sans-serif; color:black;'>From this shapefile, &quot;select by attribute&quot; was used to
select the distressed municipalities by town name (note: the list of 2022
distressed municipalities was provided by the CT Department of Economic and
Community Development). The selection was then exported a new shapefile. The
“Union” tool was used to unite the new shapefile with tribal lands (American
Indian Area Geography) boundary data from the 2020 TIGER/Line files. In the
resulting layer, the tribal lands were deleted so only the distressed
municipalities remained. Maintenance – This layer will be updated annually when
the DECD produces its new list of distressed municipalities (around
August/September).</span></p>

<p style='margin-top:12.0pt; margin-right:0in; margin-bottom:0in; margin-left:0in; background:white;'><b><span style='font-family:&quot;Calibri&quot;,sans-serif; color:black;'>Note:</span></b><span style='font-family:&quot;Calibri&quot;,sans-serif; color:black;'> A distressed municipality, as designated by the
Connecticut Department of Economic and Community Development, includes
municipalities that no longer meet the threshold requirements but are still in
a 5-year grace period. (See definition at CGS Sec. 32-9p(b).) Fitting into that
grace period, eight towns continue to be eligible for distressed municipality
benefits because they dropped off the list within the last five years. Those
are Enfield, Killingly, Naugatuck, Plymouth, New Haven, Preston, Stratford, and
Voluntown.</span></p>
Municipal Fiscal Indicators, 2016

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). 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, Office of Finance. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition. The most recent edition is for the Fiscal Years Ended 2016 published in December of 2017.
2022 block xwalk

<h1>Broadband Availability Data — Block-Level Summary</h1><h3>What the dataset includes</h3><p>For each Census block, the dataset provides:</p><p><br /><strong>Location counts</strong></p><ul><li>Total broadband serviceable locations</li><li>Number of providers serving the block</li><li>Counts of unserved, underserved, and served locations</li><li>Locations capable of gigabit, near-gigabit, or meeting the state’s 1000/100 Mbps goal</li></ul><p><br /><strong>Technology availability</strong></p><ul><li>Presence of major technologies:<br />copper/DSL (10), cable (40), fiber (50), and Fixed Wireless Access (71)</li><li>Percent of locations served by each technology type</li><li>Lists of providers offering each technology</li></ul><p><br /><strong>Speed statistics</strong></p><ul><li>Maximum, minimum, median, and 75th percentile advertised download and upload speeds</li><li>Average and standard deviation of advertised speeds</li></ul><p><br /><strong>Provider information</strong></p><ul><li>All providers present in the block</li><li>Providers offering gigabit, ≥100/20 Mbps, or ≥1Gbps/100 Mbps service</li><li>Lists of fiber, cable, copper, and fixed-wireless providers</li></ul><p><br /><strong>Business vs. residential</strong></p><ul><li>Counts and percentages of business, residential, and mixed-use (BRX) locations</li></ul>
American Rescue Plan Act – Coronavirus State and Local Fiscal Recovery Fund (ARPA – SLFRF)

This dataset includes allocations from the Coronavirus State and Local Fiscal Recovery Funds Program (SLFRF) to Connecticut municipalities in 2021 and 2022. 

The SLFRF program, a part of the American Rescue Plan, provided $350 billion to state, local, and Tribal governments across the country to support their response to and recovery from the COVID-19 public health emergency. This dataset includes funds allocated to Connecticut municipalities.
DCF Children in Placement: Annual Point-in-Time Trend By Age Group

This file contains a row for the unique combination of in-care date (first of each state fiscal year), DCF Region/Office responsible for the child's case, Age Group and whether the placement is inside or outside of CT. This file will be updated on an annual basis, on or about October 1st of each year. Rollups that Sum across Month-In-Care dates are NOT valid; though Averages, Medians, Minimum or Maximum values can be calculated with meaningful results. See attached metadata document for more detail and column definitions.
Highway Use Fee by Filing Period

As of January 1, 2023, a Highway Use Fee is imposed on certain carriers for the privilege of operating, or causing to be operated, certain heavy, multi-unit motor vehicles on any highway (i.e., public road) in Connecticut. The Highway Use Fee is calculated based on an eligible motor vehicle’s weight and the number of miles driven in Connecticut. 

**Note that the filing and payment frequency was changed to quarterly, rather than monthly, starting with the calendar quarter commencing on October 1, 2023.

**Data Disclaimer: Please note that the categorization of in-state and out-of-state taxpayers is based on the municipality reported on the tax return. If no municipality was reported, the taxpayer will not be included in either the in-state or out-of-state column but will be included in the total taxpayer column.
Connecticut Mainland

Connecticut Mainland Line includes the line features of a layer named Connecticut Mainland. Connecticut Mainland is a 1:24,000-scale, polygon and line feature-based layer that depicts the geographic area encompassed by and the boundary for the State of Connecticut with an additional linear shoreline feature separating the Connecticut mainland from the waters of Long Island Sound. The layer includes a polygon feature representing the Connecticut mainland, a polygon feature representing Connecticut waters in Long Island Sound and approximately 700 polygon features representing Connecticut islands in Long Island Sound. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and latitude and longitude coordinates that define the boundary between the states of Connecticut and New York in Long Island Sound. Feature length and geographic area are encoded for linear and polygon features, respectively. This layer was originally published in 2005.

Connecticut Mainland Polygon includes the polygon features of a layer named Connecticut Mainland. Connecticut Mainland is a 1:24,000-scale, polygon and line feature-based layer that depicts the geographic area encompassed by and the boundary for the State of Connecticut with an additional linear shoreline feature separating the Connecticut mainland from the waters of Long Island Sound. The layer includes a polygon feature representing the Connecticut mainland, a polygon feature representing Connecticut waters in Long Island Sound and approximately 700 polygon features representing Connecticut islands in Long Island Sound. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and latitude and longitude coordinates that define the boundary between the states of Connecticut and New York in Long Island Sound. Feature length and geographic area are encoded for linear and polygon features, respectively. This layer was originally published in 2005.
CMS COVID-19 Nursing Home Dataset

The Nursing Home COVID-19 Public File from the Centers for Medicare & Medicaid Services, filtered for Connecticut. View the full dataset and detailed metadata <a href="https://data.cms.gov/covid-19/covid-19-nursing-home-data">here</a>.

The Nursing Home COVID-19 Public File includes data reported by nursing homes to the CDC’s National Healthcare Safety Network (NHSN) system COVID-19 Long Term Care Facility Module, including Resident Impact, Facility Capacity, Staff & Personnel, and Supplies & Personal Protective Equipment, and Ventilator Capacity and Supplies Data Elements.
Negative End Point Rates (meters/year)

Shorelines are continuously moving in response to winds, waves, tides, sediment supply, changes in relative sea level, and human activities. Shoreline changes are generally not constant through time and frequently switch from negative (erosion) to positive (accretion) and vice versa. Cyclic and non-cyclic processes change the position of the shoreline over a variety of timescales, from the daily and seasonal effects of winds and waves, to changes in sea level over a century to thousands of years. The shoreline "rate of change" statistic thus reflects a cumulative summary of the processes that altered the shoreline for the time period analyzed.
Municipal Fiscal Indicators: Grand List Components, 2019

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). 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, Office of Finance. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition. The most recent edition is for the Fiscal Years Ended 2015-2019 published in April 2021.

The Grand List is the aggregate valuation of taxable property within a given municipality. The Grand Lists component data provides a breakdown by certain assessment categories and their valuation.

Data on the Municipal Fiscal Indicators is included in the following datasets:

Municipal Fiscal Indicators, 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-2019/sb4i-6vik

Municipal Fiscal Indicators: Grand List Components, 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Grand-List-Components-/ifrb-kp2b

Municipal Fiscal Indicators: Pension Funding Information For Defined Benefit Pension Plans, 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Pension-Funding-Inform/civu-w22d

Municipal Fiscal Indicators: Type and Number of Pension Plans, 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Type-and-Number-of-Pen/9f65-c4yr

Municipal Fiscal Indicators: Other Post-Employment Benefits (OPEB), 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Other-Post-Employment-/sa26-46h8

Municipal Fiscal Indicators: Economic and Grand List Data, 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Economic-and-Grand-Lis/wpbp-b657

Municipal Fiscal Indicators: Benchmark Labor Data, 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Benchmark-Labor-Data-2/db37-h23r

Municipal Fiscal Indicators: Unemployment, 2019
https://data.ct.gov/Local-Government/Municipal-Fiscal-Indicators-Unemployment-2019/cugp-2za3