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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Henry County, IA
Series ID MHICILBIA19087A052NCEN
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 7:10 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 23898
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28621
1994-01-01 .
1995-01-01 30581
1996-01-01 .
1997-01-01 33942
1998-01-01 35827
1999-01-01 36392
2000-01-01 37581
2001-01-01 37325
2002-01-01 37332
2003-01-01 37571
2004-01-01 39301
2005-01-01 38822
2006-01-01 40003
2007-01-01 41134
2008-01-01 43229
2009-01-01 39816
2010-01-01 39509
2011-01-01 41182
2012-01-01 41706
2013-01-01 46483
2014-01-01 46117
2015-01-01 46697
2016-01-01 47570
2017-01-01 48494
2018-01-01 50137
2019-01-01 52086
2020-01-01 50802
2021-01-01 55994
2022-01-01 58115
2023-01-01 57650
2024-01-01 61509

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