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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Macon County, MO
Series ID MHICILBMO29121A052NCEN
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 19365
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21921
1994-01-01 .
1995-01-01 22417
1996-01-01 .
1997-01-01 25135
1998-01-01 25361
1999-01-01 27921
2000-01-01 29067
2001-01-01 28683
2002-01-01 29328
2003-01-01 30494
2004-01-01 31522
2005-01-01 30101
2006-01-01 30739
2007-01-01 33926
2008-01-01 33832
2009-01-01 32988
2010-01-01 33814
2011-01-01 33794
2012-01-01 33676
2013-01-01 34769
2014-01-01 32921
2015-01-01 37264
2016-01-01 36345
2017-01-01 37254
2018-01-01 41154
2019-01-01 41923
2020-01-01 44788
2021-01-01 44216
2022-01-01 48406

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