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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Howard County, MO
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 1:11 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.
1989-01-01 22693
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26782
1994-01-01 .
1995-01-01 29483
1996-01-01 .
1997-01-01 31892
1998-01-01 32943
1999-01-01 32599
2000-01-01 34568
2001-01-01 33841
2002-01-01 33693
2003-01-01 34018
2004-01-01 35701
2005-01-01 36996
2006-01-01 39727
2007-01-01 44094
2008-01-01 44324
2009-01-01 42430
2010-01-01 43005
2011-01-01 46501
2012-01-01 41014
2013-01-01 45261
2014-01-01 47835
2015-01-01 48743
2016-01-01 51320
2017-01-01 50312
2018-01-01 50097
2019-01-01 55618
2020-01-01 60604
2021-01-01 61337
2022-01-01 60011

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