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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knott County, KY
Series ID MHICIUBKY21119A052NCEN
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 19786
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20610
1994-01-01 .
1995-01-01 23924
1996-01-01 .
1997-01-01 25803
1998-01-01 28465
1999-01-01 24191
2000-01-01 24195
2001-01-01 23670
2002-01-01 24486
2003-01-01 25461
2004-01-01 26407
2005-01-01 26936
2006-01-01 27364
2007-01-01 30818
2008-01-01 29369
2009-01-01 31926
2010-01-01 32908
2011-01-01 32763
2012-01-01 31936
2013-01-01 34600
2014-01-01 30427
2015-01-01 33139
2016-01-01 33015
2017-01-01 34551
2018-01-01 35470
2019-01-01 36589
2020-01-01 37591
2021-01-01 38106
2022-01-01 43104

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