Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lyon County, KY
Series ID MHICIUBKY21143A052NCEN
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 23047
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26375
1994-01-01 .
1995-01-01 30702
1996-01-01 .
1997-01-01 32578
1998-01-01 33911
1999-01-01 33536
2000-01-01 34856
2001-01-01 34047
2002-01-01 35026
2003-01-01 36298
2004-01-01 37610
2005-01-01 38213
2006-01-01 41556
2007-01-01 43684
2008-01-01 45056
2009-01-01 43329
2010-01-01 43334
2011-01-01 43945
2012-01-01 43964
2013-01-01 47237
2014-01-01 46810
2015-01-01 51842
2016-01-01 49514
2017-01-01 48898
2018-01-01 53430
2019-01-01 59099
2020-01-01 59291
2021-01-01 60024
2022-01-01 65344

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