Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gallatin County, IL

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gallatin County, IL
Series ID MHICIUBIL17059A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:31 AM CST
Notes 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.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 22887
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25363
1994-01-01 .
1995-01-01 26036
1996-01-01 .
1997-01-01 29426
1998-01-01 31081
1999-01-01 28958
2000-01-01 30505
2001-01-01 30080
2002-01-01 29957
2003-01-01 30426
2004-01-01 32081
2005-01-01 32411
2006-01-01 33701
2007-01-01 37079
2008-01-01 37571
2009-01-01 37841
2010-01-01 40590
2011-01-01 40263
2012-01-01 41554
2013-01-01 44075
2014-01-01 45416
2015-01-01 44731
2016-01-01 43403
2017-01-01 47121
2018-01-01 47769
2019-01-01 51989
2020-01-01 50778
2021-01-01 53760
2022-01-01 57774
2023-01-01 63596

Subscribe to the FRED newsletter


Follow us

Back to Top