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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Greenwood County, KS
Series ID MHICILBKS20073A052NCEN
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 1:12 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 17928
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20886
1994-01-01 .
1995-01-01 21106
1996-01-01 .
1997-01-01 24233
1998-01-01 24865
1999-01-01 27829
2000-01-01 28695
2001-01-01 28171
2002-01-01 28127
2003-01-01 28484
2004-01-01 29338
2005-01-01 30001
2006-01-01 30395
2007-01-01 30860
2008-01-01 33696
2009-01-01 32435
2010-01-01 31776
2011-01-01 32560
2012-01-01 39104
2013-01-01 32654
2014-01-01 35766
2015-01-01 37176
2016-01-01 36196
2017-01-01 36677
2018-01-01 38857
2019-01-01 39525
2020-01-01 44681
2021-01-01 46006
2022-01-01 46990

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