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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sac County, IA
Series ID MHICIUBIA19161A052NCEN
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 23965
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28805
1994-01-01 .
1995-01-01 30679
1996-01-01 .
1997-01-01 35700
1998-01-01 35859
1999-01-01 34939
2000-01-01 36941
2001-01-01 36788
2002-01-01 37335
2003-01-01 37303
2004-01-01 41568
2005-01-01 40933
2006-01-01 41223
2007-01-01 41639
2008-01-01 44900
2009-01-01 48310
2010-01-01 45625
2011-01-01 52640
2012-01-01 50965
2013-01-01 55167
2014-01-01 51850
2015-01-01 56844
2016-01-01 58745
2017-01-01 57965
2018-01-01 61902
2019-01-01 63742
2020-01-01 60814
2021-01-01 71344
2022-01-01 78812

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