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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knox County, KY
Series ID MHICIUBKY21121A052NCEN
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 1:10 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 17377
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18356
1994-01-01 .
1995-01-01 22052
1996-01-01 .
1997-01-01 22935
1998-01-01 24624
1999-01-01 21511
2000-01-01 22109
2001-01-01 21634
2002-01-01 22417
2003-01-01 23843
2004-01-01 24106
2005-01-01 23837
2006-01-01 25004
2007-01-01 27356
2008-01-01 27526
2009-01-01 24644
2010-01-01 28378
2011-01-01 28026
2012-01-01 29647
2013-01-01 28671
2014-01-01 28349
2015-01-01 31207
2016-01-01 30279
2017-01-01 31726
2018-01-01 33856
2019-01-01 35041
2020-01-01 36424
2021-01-01 36732
2022-01-01 41092

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