Source: U.S. Bureau of Labor Statistics  

Release: Consumer Price Index  

Units:  Index 1982-1984=100, Not Seasonally Adjusted

Frequency:  Semiannual

Source: U.S. Bureau of Economic Analysis  

Source: Federal Reserve Bank of St. Louis  

Release: Personal Income by State  

Units:  Dollars, Not Seasonally Adjusted

Frequency:  Annual

Source: U.S. Census Bureau  

Release: Income and Poverty in the United States  

Units:  Current Dollars, Not Seasonally Adjusted

Frequency:  Annual

Household data are collected as of March.

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 P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

Source: U.S. Census Bureau  

Release: Small Area Income and Poverty Estimates  

Units:  Dollars, Not Seasonally Adjusted

Frequency:  Annual

The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Mean adjusted gross income from aggregated state IRS data is one of the data sources used in producing SAIPE program estimates, defined as the aggregate adjusted gross income divided by the number of returns. These data may not match data from other sources due to differences in definitions, since the SAIPE program only uses tax returns for the relevant income year (IRS/SOI include all tax returns filed in a calendar year in their tabulations, regardless of the reference income year).

See more details about SAIPE Model Input Data.

Source: U.S. Census Bureau  

Release: Small Area Income and Poverty Estimates  

Units:  Dollars, Not Seasonally Adjusted

Frequency:  Annual

The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Median adjusted gross income from aggregated state IRS data is one of the data sources used in producing SAIPE program estimates, defined as the middle value of the aggregate adjusted gross income. These data may not match data from other sources due to differences in definitions, since the SAIPE program only uses tax returns for the relevant income year (IRS/SOI include all tax returns filed in a calendar year in their tabulations, regardless of the reference income year).

See more details about SAIPE Model Input Data.