Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harlan County, KY
Series ID MHICIUBKY21095A052NCEN
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 19820
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20201
1994-01-01 .
1995-01-01 22761
1996-01-01 .
1997-01-01 24471
1998-01-01 25253
1999-01-01 22091
2000-01-01 22336
2001-01-01 21683
2002-01-01 22564
2003-01-01 23352
2004-01-01 24544
2005-01-01 24986
2006-01-01 26308
2007-01-01 28383
2008-01-01 25792
2009-01-01 29016
2010-01-01 31092
2011-01-01 31492
2012-01-01 29165
2013-01-01 27410
2014-01-01 28698
2015-01-01 29670
2016-01-01 27264
2017-01-01 28504
2018-01-01 32207
2019-01-01 33533
2020-01-01 34798
2021-01-01 34348
2022-01-01 40031
2023-01-01 41353

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