Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clark County, IL
Series ID MHICIUBIL17023A052NCEN
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 3:12 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 24316
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29971
1994-01-01 .
1995-01-01 32989
1996-01-01 .
1997-01-01 35870
1998-01-01 36538
1999-01-01 37464
2000-01-01 39717
2001-01-01 38937
2002-01-01 39282
2003-01-01 39873
2004-01-01 41589
2005-01-01 41665
2006-01-01 44060
2007-01-01 48170
2008-01-01 51728
2009-01-01 46339
2010-01-01 48224
2011-01-01 52699
2012-01-01 51318
2013-01-01 50153
2014-01-01 54942
2015-01-01 55679
2016-01-01 53005
2017-01-01 60381
2018-01-01 59489
2019-01-01 64219
2020-01-01 67068
2021-01-01 65337
2022-01-01 71233
2023-01-01 74390

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