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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Barry County, MO
Series ID MHICIUBMO29009A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:05 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 21221
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24747
1994-01-01 .
1995-01-01 28356
1996-01-01 .
1997-01-01 29614
1998-01-01 31130
1999-01-01 30535
2000-01-01 32502
2001-01-01 31521
2002-01-01 31577
2003-01-01 32777
2004-01-01 33106
2005-01-01 35156
2006-01-01 35404
2007-01-01 37777
2008-01-01 40949
2009-01-01 38645
2010-01-01 37458
2011-01-01 39506
2012-01-01 37530
2013-01-01 39766
2014-01-01 41031
2015-01-01 40549
2016-01-01 41432
2017-01-01 43101
2018-01-01 46600
2019-01-01 51449
2020-01-01 53849
2021-01-01 52746
2022-01-01 54804
2023-01-01 58290
2024-01-01 65876

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