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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Simpson County, KY
Series ID MHICIUBKY21213A052NCEN
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 1:52 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 25927
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30125
1994-01-01 .
1995-01-01 32589
1996-01-01 .
1997-01-01 36355
1998-01-01 38066
1999-01-01 38336
2000-01-01 40471
2001-01-01 39770
2002-01-01 40057
2003-01-01 40912
2004-01-01 42284
2005-01-01 44116
2006-01-01 44743
2007-01-01 47602
2008-01-01 49092
2009-01-01 44097
2010-01-01 44646
2011-01-01 44308
2012-01-01 45941
2013-01-01 42700
2014-01-01 49478
2015-01-01 49900
2016-01-01 50121
2017-01-01 52144
2018-01-01 55781
2019-01-01 58629
2020-01-01 63451
2021-01-01 64259
2022-01-01 65016

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