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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clark County, MO
Series ID MHICILBMO29045A052NCEN
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 1:12 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 17783
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21840
1994-01-01 .
1995-01-01 22686
1996-01-01 .
1997-01-01 25988
1998-01-01 27102
1999-01-01 27816
2000-01-01 28807
2001-01-01 28436
2002-01-01 28669
2003-01-01 30465
2004-01-01 31258
2005-01-01 32344
2006-01-01 30201
2007-01-01 32079
2008-01-01 34790
2009-01-01 32082
2010-01-01 33324
2011-01-01 35850
2012-01-01 35115
2013-01-01 36267
2014-01-01 39479
2015-01-01 39227
2016-01-01 40567
2017-01-01 38440
2018-01-01 42585
2019-01-01 40486
2020-01-01 41430
2021-01-01 44533
2022-01-01 58969

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