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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cape Girardeau County, MO
Series ID MHICIUBMO29031A052NCEN
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 27900
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31677
1994-01-01 .
1995-01-01 36095
1996-01-01 .
1997-01-01 39182
1998-01-01 41143
1999-01-01 39748
2000-01-01 41076
2001-01-01 40045
2002-01-01 40422
2003-01-01 41397
2004-01-01 42513
2005-01-01 42620
2006-01-01 44039
2007-01-01 48154
2008-01-01 48944
2009-01-01 46472
2010-01-01 47558
2011-01-01 44384
2012-01-01 48029
2013-01-01 47268
2014-01-01 51055
2015-01-01 53287
2016-01-01 52679
2017-01-01 56343
2018-01-01 56163
2019-01-01 62530
2020-01-01 65027
2021-01-01 64602
2022-01-01 70148

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