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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Van Buren County, IA
Series ID MHICIUBIA19177A052NCEN
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 21669
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25640
1994-01-01 .
1995-01-01 28375
1996-01-01 .
1997-01-01 32497
1998-01-01 33428
1999-01-01 32898
2000-01-01 34769
2001-01-01 33664
2002-01-01 33881
2003-01-01 34288
2004-01-01 36591
2005-01-01 41246
2006-01-01 38544
2007-01-01 42062
2008-01-01 41610
2009-01-01 41308
2010-01-01 41091
2011-01-01 42313
2012-01-01 45739
2013-01-01 46739
2014-01-01 46699
2015-01-01 47196
2016-01-01 48597
2017-01-01 52544
2018-01-01 52426
2019-01-01 54759
2020-01-01 58664
2021-01-01 57903
2022-01-01 69464

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