Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lewis County, KY
Series ID MHICIUBKY21135A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 17703
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20282
1994-01-01 .
1995-01-01 23901
1996-01-01 .
1997-01-01 25453
1998-01-01 26901
1999-01-01 24986
2000-01-01 25437
2001-01-01 24717
2002-01-01 25067
2003-01-01 25855
2004-01-01 26599
2005-01-01 26174
2006-01-01 28718
2007-01-01 29067
2008-01-01 31011
2009-01-01 31266
2010-01-01 32264
2011-01-01 31570
2012-01-01 31341
2013-01-01 33001
2014-01-01 33416
2015-01-01 37203
2016-01-01 36387
2017-01-01 38842
2018-01-01 39698
2019-01-01 41775
2020-01-01 45336
2021-01-01 44857
2022-01-01 49450
2023-01-01 50900

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