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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kenton County, KY
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 1:12 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.
1989-01-01 27006
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31654
1994-01-01 .
1995-01-01 33819
1996-01-01 .
1997-01-01 38641
1998-01-01 39768
1999-01-01 40225
2000-01-01 41575
2001-01-01 41534
2002-01-01 42257
2003-01-01 43989
2004-01-01 44928
2005-01-01 46281
2006-01-01 49569
2007-01-01 48739
2008-01-01 50104
2009-01-01 48445
2010-01-01 48820
2011-01-01 47688
2012-01-01 50523
2013-01-01 51558
2014-01-01 51029
2015-01-01 50603
2016-01-01 58994
2017-01-01 56072
2018-01-01 60924
2019-01-01 64102
2020-01-01 61534
2021-01-01 65899
2022-01-01 72096

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