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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for O'Brien County, IA
Series ID MHICILBIA19141A052NCEN
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 1:54 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 23803
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26678
1994-01-01 .
1995-01-01 28154
1996-01-01 .
1997-01-01 31932
1998-01-01 32703
1999-01-01 33803
2000-01-01 34965
2001-01-01 34848
2002-01-01 35111
2003-01-01 36194
2004-01-01 38829
2005-01-01 37856
2006-01-01 37733
2007-01-01 41019
2008-01-01 42309
2009-01-01 40027
2010-01-01 40871
2011-01-01 42183
2012-01-01 45067
2013-01-01 53018
2014-01-01 52137
2015-01-01 48792
2016-01-01 46077
2017-01-01 55983
2018-01-01 49826
2019-01-01 53523
2020-01-01 55146
2021-01-01 56899
2022-01-01 59878

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