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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Adams County, IA
Series ID MHICIUBIA19003A052NCEN
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 22555
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26262
1994-01-01 .
1995-01-01 27656
1996-01-01 .
1997-01-01 32419
1998-01-01 31903
1999-01-01 32350
2000-01-01 34954
2001-01-01 33953
2002-01-01 33501
2003-01-01 34368
2004-01-01 37504
2005-01-01 38475
2006-01-01 37475
2007-01-01 40955
2008-01-01 44135
2009-01-01 42035
2010-01-01 43455
2011-01-01 45953
2012-01-01 46079
2013-01-01 48166
2014-01-01 54453
2015-01-01 52787
2016-01-01 50451
2017-01-01 53449
2018-01-01 57209
2019-01-01 59392
2020-01-01 63996
2021-01-01 60303
2022-01-01 65756

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