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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Atchison County, KS
Series ID MHICILBKS20005A052NCEN
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 22592
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25492
1994-01-01 .
1995-01-01 26894
1996-01-01 .
1997-01-01 29539
1998-01-01 31444
1999-01-01 32226
2000-01-01 33311
2001-01-01 33147
2002-01-01 33248
2003-01-01 33880
2004-01-01 34837
2005-01-01 35116
2006-01-01 36224
2007-01-01 36086
2008-01-01 38734
2009-01-01 39655
2010-01-01 38382
2011-01-01 37999
2012-01-01 39487
2013-01-01 41129
2014-01-01 39663
2015-01-01 41402
2016-01-01 46513
2017-01-01 41884
2018-01-01 44599
2019-01-01 46052
2020-01-01 49427
2021-01-01 51301
2022-01-01 52979

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