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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Greenwood County, KS
Series ID MHICIUBKS20073A052NCEN
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 22493
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25502
1994-01-01 .
1995-01-01 27380
1996-01-01 .
1997-01-01 30553
1998-01-01 31119
1999-01-01 31709
2000-01-01 33334
2001-01-01 32317
2002-01-01 32307
2003-01-01 32316
2004-01-01 33276
2005-01-01 35520
2006-01-01 36380
2007-01-01 36567
2008-01-01 39711
2009-01-01 39686
2010-01-01 38516
2011-01-01 38970
2012-01-01 43660
2013-01-01 38952
2014-01-01 43698
2015-01-01 45160
2016-01-01 44840
2017-01-01 44805
2018-01-01 47309
2019-01-01 50227
2020-01-01 56117
2021-01-01 54308
2022-01-01 57300

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