Connecticut Projections

The Connecticut State Data Center provides population projections to assist state agencies, non-profit organizations, businesses, governments, and centers/organizations to identify potential population changes into the future. These projections are created based upon several datasets and while these estimates are developed based on multiple data sources, actual population changes may vary from these projections.

Population projections are available in several formats:

See Towns (March 2007) page for data on each of Connecticut's towns.
See Counties (March 2007) page for data grouping Connecticut's 169 towns by their counties.
See the Five Connecticuts (March 2007) page for data grouping each of Connecticut's 169 into one of five classes based on their income, poverty rate, and population density.
See the Regional Planning Organizations (February 2009) page for data for each of Connecticut's fifteen (15) Regional Planning Organizations (RPO's).
See the Congressional Districts  (March 2009) page for data grouping each of Connecticut's 169 towns by Congressional District.
See the Statewide page for overview and comparison data for all of Connecticut.

Connecticut Population Projections - Developed by the Connecticut State Data Center

Data Set	Geography	Year	Source	Methodology	Metadata	Spreadsheet	Shapefile	KML	Preview
2005-2030 Connecticut County Population Projections		2007	CtSDC	CtSDC Methodology
Connecticut 108th Congressional District Population Projections	Congress	2007	CtSDC	CtSDC Methodology
2005-2030 Connecticut Town Population Projections by Age Group and Race		2007	CtSDC	CtSDC Methodology
2005-2030 Connecticut Town Population Projections Per Age Group		2007	CtSDC	CtSDC Methodology
2005-2030 Connecticut Town Population Projections		2007	CtSDC	CtSDC Methodology
Five Connecticuts Program for 1990 and 2000		2007	CtSDC	CtSDC Methodology

Using these Projections

Various components of the projections, such as counts for individual towns, might not sum to counts for larger areas such as counties or the state. Statistical methods were used to optimize extrapolations for each separate geographic level. See Methodology (.pdf) for clarification.