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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Warren County, IA
Series ID MHICIUBIA19181A052NCEN
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 1:11 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 34871
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41613
1994-01-01 .
1995-01-01 45751
1996-01-01 .
1997-01-01 49414
1998-01-01 51221
1999-01-01 52923
2000-01-01 55315
2001-01-01 54498
2002-01-01 56229
2003-01-01 56926
2004-01-01 60198
2005-01-01 55809
2006-01-01 61275
2007-01-01 65334
2008-01-01 65371
2009-01-01 64095
2010-01-01 66839
2011-01-01 66626
2012-01-01 67829
2013-01-01 71030
2014-01-01 72082
2015-01-01 72327
2016-01-01 79259
2017-01-01 81085
2018-01-01 83160
2019-01-01 87040
2020-01-01 88042
2021-01-01 94825
2022-01-01 98934

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