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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Henry County, IA
Series ID MHICIUBIA19087A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:05 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 28427
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33179
1994-01-01 .
1995-01-01 36770
1996-01-01 .
1997-01-01 40134
1998-01-01 41933
1999-01-01 41386
2000-01-01 43612
2001-01-01 42763
2002-01-01 42790
2003-01-01 42602
2004-01-01 44525
2005-01-01 45026
2006-01-01 47514
2007-01-01 46600
2008-01-01 51478
2009-01-01 47957
2010-01-01 46947
2011-01-01 49478
2012-01-01 49588
2013-01-01 53685
2014-01-01 54577
2015-01-01 53785
2016-01-01 53798
2017-01-01 58846
2018-01-01 61575
2019-01-01 63408
2020-01-01 61718
2021-01-01 66230
2022-01-01 69289
2023-01-01 73604
2024-01-01 77117

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