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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, KY
Series ID MHICILBKY21109A052NCEN
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 1:54 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 9899
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12086
1994-01-01 .
1995-01-01 14687
1996-01-01 .
1997-01-01 15003
1998-01-01 17741
1999-01-01 19779
2000-01-01 20194
2001-01-01 19588
2002-01-01 19782
2003-01-01 20825
2004-01-01 21634
2005-01-01 21974
2006-01-01 23056
2007-01-01 23039
2008-01-01 22607
2009-01-01 23067
2010-01-01 24013
2011-01-01 23842
2012-01-01 24747
2013-01-01 26171
2014-01-01 26113
2015-01-01 27501
2016-01-01 27921
2017-01-01 27866
2018-01-01 32105
2019-01-01 30944
2020-01-01 30327
2021-01-01 32403
2022-01-01 35947

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