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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fayette County, KY
Series ID MHICILBKY21067A052NCEN
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.
DATE VALUE
1989-01-01 25260
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30104
1994-01-01 .
1995-01-01 33106
1996-01-01 .
1997-01-01 36443
1998-01-01 37590
1999-01-01 36983
2000-01-01 37958
2001-01-01 37847
2002-01-01 37395
2003-01-01 38507
2004-01-01 39177
2005-01-01 40741
2006-01-01 42807
2007-01-01 44561
2008-01-01 48382
2009-01-01 44157
2010-01-01 42885
2011-01-01 45461
2012-01-01 44748
2013-01-01 45654
2014-01-01 45941
2015-01-01 50087
2016-01-01 50827
2017-01-01 53198
2018-01-01 52931
2019-01-01 55326
2020-01-01 56587
2021-01-01 58429
2022-01-01 60472

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