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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fayette County, KY
Series ID MHICIUBKY21067A052NCEN
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 1:53 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 29475
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34341
1994-01-01 .
1995-01-01 38653
1996-01-01 .
1997-01-01 42130
1998-01-01 43231
1999-01-01 41949
2000-01-01 43631
2001-01-01 43120
2002-01-01 42636
2003-01-01 43434
2004-01-01 44177
2005-01-01 44816
2006-01-01 45957
2007-01-01 48891
2008-01-01 52153
2009-01-01 48616
2010-01-01 48755
2011-01-01 48961
2012-01-01 48156
2013-01-01 50264
2014-01-01 51163
2015-01-01 53839
2016-01-01 55749
2017-01-01 59186
2018-01-01 57785
2019-01-01 62636
2020-01-01 63843
2021-01-01 64109
2022-01-01 66862

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