Only fires are included here. All other incidences, including EMS calls and False Alarms have been excluded.

This dataset contains Connecticut Fire Department Incidents as reported to the National Fire Department Incident Reporting System (NFIRS).

Note that the 2014 and 2016 data has far more entries than the other years. In particular, they detail "False Alarm and False Calls" and "Rescue and Emergency Medical Service (EMS) Incidents"

NFIRS collects details on Fire, HazMat and EMS incidences nationwide, detailing the type of incident, where it occurred, the resources used to mitigate it and more, with a goal of understanding the nature and causes of the incidents. Information is also collected on the number of civilian or firefighter casualties and an estimate of property loss.

Participation in NFIRS is voluntary.

Data is released yearly, with a considerable delay.

Each Incidence is assigned a 3 digit Incidence Type Code. The code describes the situation emergency personnel found when they arrived. Incidence Types are grouped into larger categories, called Series.

For example, Series 400, 'Hazardous Condition' category includes incidence types: 411, 'Gasoline or other flammable liquid spill; 412, 'Gas leak and 413, 'Oil or other combustible liquid spill '.

Not every Incidence Type is included in the data. In 2012, 2013, 2014 and 2015, the NFIRS data releases contained these Series/Incidence Types:

Series 100: Fire Incidences,
Series 400: Hazardous Condition (No Fire),
Incidence Type 561: Unauthorized burning, under the 'Service Call' Series,
Incidence Type 631: Authorized Controlled Burning, under the 'Good Intent Call' series and
Incidence Type 632: Prescribed fires also under the 'Good Intent Call' series.

The 2014 and 2016 release included these additional series:

200: Overpressure Rupture, Explosion, Overheat (No Fire),
300: Rescue and Emergency Medical Service (EMS) Incidents,
500: Service Calls,
600: Good Intent Call Series,
700: False Alarm and False Call,
800 Severe Weather and Natural Disaster
900: Special Incident Type.

The official NFIRS documentation has been attached to this dataset.

This dataset does not contain all the detail available in the NFIRS database. If after reviewing the documentation, you find additional information you would like added to the dataset, please let us know.

This dataset includes award data for the HVAC Indoor Air Quality Grant Program for Public Schools for Round 1 (FY23) and Round 2 (FY24).

Information about the reimbursement rates used in this program can be found on the DAS website here: https://portal.ct.gov/das/office-of-grants-administration/school-construction-state-reimbursement-percentages?language=en_US

Licenses and Credentials recorded in Connecticut's eLicensing system.

Updated daily.

Licensed Substance Abuse Care facilities derived from Licenses and Credentials recorded in Connecticut's eLicensing system. Includes active and inactive licenses.

This dataset is pulled from the full State Licenses and Credentials dataset: https://data.ct.gov/Business/State-Licenses-and-Credentials/ngch-56tr/data

Updated daily.

Licenses and Credentials recorded in Connecticut's eLicensing system.

Updated daily.

The Department of Administrative Services' Supplier Diversity Program certifies Connecticut-based small and minority business enterprises. This dashboard highlights trends in the program.

Licenses and Credentials recorded in Connecticut's eLicensing system.

Updated daily.

Public Act No. 23-16, Section 1, effective July 1, 2023, directs the Department of Administrative Services to conduct an annual inventory of all systems that employ artificial intelligence and are used by any state agency.

The public act defines artificial intelligence as (A) an artificial system that (i) performs tasks under varying and unpredictable circumstances without significant human oversight or can learn from experience and improve such performance when exposed to data sets, (ii) is developed in any context, including, but not limited to, software or physical hardware, and solves tasks requiring human-like perception, cognition, planning, learning, communication or physical action, or (iii) is designed to (I) think or act like a human, including, but not limited to, a cognitive architecture or neural network, or (II) act rationally, including, but not limited to, an intelligent software agent or embodied robot that achieves goals using perception, planning, reasoning, learning, communication, decision-making or action, or (B) a set of techniques, including, but not limited to, machine learning, that is designed to approximate a cognitive task.

This dataset provides the monthly count of employees at executive branch agencies where human resource responsibilities are handled centrally by the Department of Administrative Services ("in-scope agencies). Employee counts by agency and month are included.

All employees at in-scope agencies are counted, including full-time, part-time, regular, temporary, and per diem employees.

The data are pulled from Core-CT, Connecticut's HR reporting system.

This dataset provides a bi-annual count of employees at executive branch agencies where human resource responsibilities are handled centrally by the Department of Administrative Services ("in-scope agencies). Employee counts by agency and month are included.

All state employees at in-scope agencies are counted, including full-time, part-time, regular, temporary, and per diem employees.

Data are provided for January and July of each year since 2013.

The data are pulled from Core-CT, Connecticut's HR reporting system.