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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sullivan County, MO
Series ID MHICIUBMO29211A052NCEN
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 18137
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20825
1994-01-01 .
1995-01-01 24632
1996-01-01 .
1997-01-01 27278
1998-01-01 29536
1999-01-01 27942
2000-01-01 29653
2001-01-01 28828
2002-01-01 28569
2003-01-01 28636
2004-01-01 31406
2005-01-01 31768
2006-01-01 31574
2007-01-01 36071
2008-01-01 37594
2009-01-01 36147
2010-01-01 36903
2011-01-01 39348
2012-01-01 40098
2013-01-01 40327
2014-01-01 39875
2015-01-01 44731
2016-01-01 44453
2017-01-01 44790
2018-01-01 46196
2019-01-01 48345
2020-01-01 49931
2021-01-01 50906
2022-01-01 57093
2023-01-01 56719
2024-01-01 60229

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