COVID-19 Community Levels Map Update, Jan. 20, 2023: The CDC has listed six Connecticut Counties—Hartford, Litchfield, Middlesex, New Haven, Tolland and Windham Counties—in the High/Orange category as part of its weekly COVID-19 Community Levels update. Fairfield and New London Counties are listed in the Medium/Yellow category.  Because all eight Connecticut counties are either in the High or Medium categories, the Connecticut Department of Public Health recommends that all residents consider wearing a mask in public indoor spaces. People who are at high risk for severe illness should consider additional measures to minimize their exposure to COVID-19 and other respiratory illnesses. Visit the CDC COVID-19 Community Levels Map for updates.


Please visit covidtests.gov to request four free COVID-19 self-test kits from the Federal Government. Find a location that has a supply of COVID-19 therapeutics as part of the Test to Treat initiative here. The complete DPH COVID-19 toolbox is located at ct.gov/coronavirus.

Population estimates by age, sex, race and Hispanic ethnicity (ASRH) are invaluable for the estimation of rates of health and illness in Connecticut’s towns and counties. 

 

While the Census Bureau is a primary resource for population estimates, it falls short for Connecticut in two ways: 1) the decennial estimates occur on April 1 – not the center of the calendar year, and 2) the annual town population estimates between decennial census years do not include demographics.  To address these gaps, the Connecticut Department of Public Health developed town-level ASRH data using two separate methodologies that can be used in conjunction to provide annual estimates with demographics for 2000 and 2010-2014. 

 

Decennial Town ASRH Estimates: 2000 and 2010

 

The standard reference point for population estimates is July 1st as it represents the center of the calendar and, theoretically, represents the average of the population for that year.  An April 1st estimate likely underestimates the population compared to the July 1st mid-year point.  By creating a July 1st reference point for decennial census data, our state and town population estimates are now consistent with the reference point for all non-decennial estimates, such as the annual inter-censal estimates series (2001-2010 and 2011-2019). 

 

To adjust the April 1st estimates to match the July 1st reference point, the town-level ASRH distribution from the decennial April 1 estimates were smoothed or ‘raked’ to the annual July 1 population estimates for town totals and for county ASRH totals.  Please see our technical documentation for a detailed explanation of the methodology.  

   

Post-censal Town ASRH Estimates: 2011 - 2014

  

Although the US Census Bureau publishes county-level estimates with demographics, town (also known as MCD) estimates with demographics are not produced for publication.  Since Connecticut utilizes town-based units of government, production of town-level health statistics are valuable to public health surveillance, planning, and promotion. 

 

The Connecticut DPH Health Statistics and Surveillance staff, in collaboration with staff from the UConn State Data Center, developed a method for estimating town-level ASRH counts annually between decennial census years.  The method begins with age-specific prediction models fit the July 1, 2010 Town-ASRH estimates.  Once fitted, the models are updated with annual model inputs to extend the prediction models through, at present, 2014.  The annual model estimates are then smoothed or ‘raked’ to the July 1 estimates by town totals and by county ASRH totals for each year.  Please see our technical documentation (initial model, modified model) for a detailed explanation of the two stages of model development.  

 

Datasets

Estimates of the resident population of Connecticut as of July 1 are tabulated by:

  • 169 towns (also known as MCDs),
  • 18 five-year age group (0-4, 5-9, 10-14 … 85 years and over), 
  • 2 sexes (male, female), and
  • 5 bridged-race/ethnicity categories (White, Black, Am.Indian, Asian/PI, Hispanic/Latino). 

Excel:  2010-2014   2000 

SAS:    2010-2014