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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Anderson County, KS
Series ID MHICIUBKS20003A052NCEN
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 1:10 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 22955
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26768
1994-01-01 .
1995-01-01 29804
1996-01-01 .
1997-01-01 33862
1998-01-01 34298
1999-01-01 34341
2000-01-01 36754
2001-01-01 36372
2002-01-01 36727
2003-01-01 37304
2004-01-01 39123
2005-01-01 40441
2006-01-01 41934
2007-01-01 44208
2008-01-01 45603
2009-01-01 44915
2010-01-01 45006
2011-01-01 46335
2012-01-01 46516
2013-01-01 46581
2014-01-01 50004
2015-01-01 52126
2016-01-01 53889
2017-01-01 51720
2018-01-01 55655
2019-01-01 57621
2020-01-01 62288
2021-01-01 63619
2022-01-01 67204

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