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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Audrain County, MO
Series ID MHICIUBMO29007A052NCEN
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 1:52 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 26284
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29418
1994-01-01 .
1995-01-01 32599
1996-01-01 .
1997-01-01 35674
1998-01-01 36956
1999-01-01 34380
2000-01-01 36207
2001-01-01 34979
2002-01-01 34758
2003-01-01 34826
2004-01-01 35912
2005-01-01 37754
2006-01-01 37489
2007-01-01 41333
2008-01-01 42517
2009-01-01 41227
2010-01-01 44157
2011-01-01 42470
2012-01-01 41842
2013-01-01 44627
2014-01-01 44231
2015-01-01 46447
2016-01-01 44811
2017-01-01 48130
2018-01-01 47991
2019-01-01 49502
2020-01-01 54828
2021-01-01 58885
2022-01-01 62630

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