Home > Releases > Income and Poverty in the United States > Real Median Household Income in Connecticut
Real Median Household Income in Connecticut
Data in this graph are copyrighted. Please review the copyright information in the series notes before sharing.
NOTES
Title  Release Dates  


Real Median Household Income in Connecticut  20120924  20190910 
Source  


U.S. Census Bureau  20120924  20190910 
Release  


Income, Poverty, and Health Insurance Coverage in the United States  20120924  20140915 
Income and Poverty in the United States  20140916  20190910 
Units  


2011 CPIURS Adjusted Dollars  20120924  20130916 
2012 CPIURS Adjusted Dollars  20130917  20140915 
2013 CPIURS Adjusted Dollars  20140916  20150915 
2014 CPIURS Adjusted Dollars  20150916  20160912 
2015 CPIURS Adjusted Dollars  20160913  20170911 
2016 CPIURS Adjusted Dollars  20170912  20180911 
2017 CPIURS Adjusted Dollars  20180912  20190909 
2018 CPIURS Adjusted Dollars  20190910  20190910 
Frequency  


Annual  20120924  20190910 
Seasonal Adjustment  


Not Seasonally Adjusted  20120924  20190910 
Notes  


Household data are collected as of March. Consumer Price Index research series using current methods (CPIURS) presents an estimate of the CPI for all Urban Consumers (CPIU) that incorporates most of the improvements made over that time span into the entire series. More information can be found at http://www.bls.gov/cpi/cpiurs.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60114.pdf). 
20120924  20180911 
Household data are collected as of March. Consumer Price Index research series using current methods (CPIURS) presents an estimate of the CPI for all Urban Consumers (CPIU) that incorporates most of the improvements made over that time span into the entire series. More information can be found at https://www.bls.gov/cpi/researchseries/home.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60114.pdf). 
20180912  20190910 
RELEASE TABLES
Income and Poverty in the United States
RELATED CONTENT
Related Resources
Related Categories
Sources
Releases
Tags
Confirm Delete
Are you sure you want to remove this series from the graph? This can not be undone.
Save Graph To User Account
Retrieving data.
Updating graph.