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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for O'Brien County, IA
Series ID MHICIUBIA19141A052NCEN
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 28358
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31275
1994-01-01 .
1995-01-01 34389
1996-01-01 .
1997-01-01 38146
1998-01-01 38890
1999-01-01 38647
2000-01-01 40751
2001-01-01 40053
2002-01-01 40353
2003-01-01 41137
2004-01-01 44117
2005-01-01 43261
2006-01-01 44394
2007-01-01 47700
2008-01-01 50858
2009-01-01 46557
2010-01-01 47547
2011-01-01 50283
2012-01-01 54655
2013-01-01 61556
2014-01-01 59799
2015-01-01 59022
2016-01-01 55137
2017-01-01 64767
2018-01-01 56468
2019-01-01 67073
2020-01-01 71972
2021-01-01 69019
2022-01-01 75062

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