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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Anderson County, KS
Series ID MHICILBKS20003A052NCEN
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 1:54 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 18438
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22079
1994-01-01 .
1995-01-01 23575
1996-01-01 .
1997-01-01 27674
1998-01-01 27912
1999-01-01 30080
2000-01-01 31517
2001-01-01 31590
2002-01-01 31940
2003-01-01 32842
2004-01-01 34456
2005-01-01 34328
2006-01-01 34996
2007-01-01 36451
2008-01-01 38048
2009-01-01 37166
2010-01-01 37102
2011-01-01 38035
2012-01-01 38332
2013-01-01 38191
2014-01-01 40732
2015-01-01 42408
2016-01-01 44541
2017-01-01 41470
2018-01-01 45637
2019-01-01 45083
2020-01-01 45584
2021-01-01 50517
2022-01-01 52162

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