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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mercer County, KY
Series ID MHICIUBKY21167A052NCEN
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 25650
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29546
1994-01-01 .
1995-01-01 33022
1996-01-01 .
1997-01-01 35574
1998-01-01 37940
1999-01-01 37915
2000-01-01 40261
2001-01-01 39145
2002-01-01 39545
2003-01-01 40050
2004-01-01 40754
2005-01-01 40686
2006-01-01 44155
2007-01-01 53318
2008-01-01 46938
2009-01-01 48219
2010-01-01 45814
2011-01-01 44411
2012-01-01 44928
2013-01-01 47916
2014-01-01 47921
2015-01-01 50594
2016-01-01 55263
2017-01-01 52016
2018-01-01 58201
2019-01-01 59857
2020-01-01 61599
2021-01-01 59375
2022-01-01 71384

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