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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Edwards County, KS
Series ID MHICIUBKS20047A052NCEN
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 1:53 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 25769
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29843
1994-01-01 .
1995-01-01 30830
1996-01-01 .
1997-01-01 34159
1998-01-01 36309
1999-01-01 33653
2000-01-01 34783
2001-01-01 34250
2002-01-01 32678
2003-01-01 33364
2004-01-01 34365
2005-01-01 36253
2006-01-01 37470
2007-01-01 40361
2008-01-01 43633
2009-01-01 44588
2010-01-01 45746
2011-01-01 47931
2012-01-01 48096
2013-01-01 49355
2014-01-01 52958
2015-01-01 50815
2016-01-01 51346
2017-01-01 52276
2018-01-01 51779
2019-01-01 54617
2020-01-01 59414
2021-01-01 45465
2022-01-01 61637

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