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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Larue County, KY
Series ID MHICIUBKY21123A052NCEN
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 23193
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27973
1994-01-01 .
1995-01-01 31034
1996-01-01 .
1997-01-01 33597
1998-01-01 34771
1999-01-01 33868
2000-01-01 35855
2001-01-01 35072
2002-01-01 35434
2003-01-01 36454
2004-01-01 37388
2005-01-01 38106
2006-01-01 42820
2007-01-01 43297
2008-01-01 42311
2009-01-01 44235
2010-01-01 41185
2011-01-01 42965
2012-01-01 43880
2013-01-01 45634
2014-01-01 44323
2015-01-01 44163
2016-01-01 48796
2017-01-01 49456
2018-01-01 50249
2019-01-01 54985
2020-01-01 57988
2021-01-01 60223
2022-01-01 60566

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