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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kenton County, KY
Series ID MHICIUBKY21117A052NCEN
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 31325
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35964
1994-01-01 .
1995-01-01 39513
1996-01-01 .
1997-01-01 44504
1998-01-01 45569
1999-01-01 45569
2000-01-01 47967
2001-01-01 47381
2002-01-01 48235
2003-01-01 49641
2004-01-01 50704
2005-01-01 51065
2006-01-01 55738
2007-01-01 52729
2008-01-01 55163
2009-01-01 53470
2010-01-01 53278
2011-01-01 52612
2012-01-01 56477
2013-01-01 56340
2014-01-01 58427
2015-01-01 54659
2016-01-01 64602
2017-01-01 63116
2018-01-01 68364
2019-01-01 73282
2020-01-01 70496
2021-01-01 75487
2022-01-01 82472

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