Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hardin County, IL
Series ID MHICIUBIL17069A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 PM 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 19539
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22714
1994-01-01 .
1995-01-01 25646
1996-01-01 .
1997-01-01 27633
1998-01-01 29855
1999-01-01 29996
2000-01-01 31448
2001-01-01 30108
2002-01-01 30331
2003-01-01 31787
2004-01-01 32467
2005-01-01 35359
2006-01-01 34624
2007-01-01 36866
2008-01-01 34667
2009-01-01 36843
2010-01-01 37403
2011-01-01 39167
2012-01-01 40022
2013-01-01 40265
2014-01-01 41179
2015-01-01 43104
2016-01-01 43313
2017-01-01 44102
2018-01-01 45978
2019-01-01 49381
2020-01-01 45681
2021-01-01 52047
2022-01-01 52368

Subscribe to the FRED newsletter


Follow us

Back to Top