Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harrison County, KY
Series ID MHICIUBKY21097A052NCEN
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 24717
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28675
1994-01-01 .
1995-01-01 31980
1996-01-01 .
1997-01-01 35044
1998-01-01 36861
1999-01-01 37790
2000-01-01 40054
2001-01-01 39000
2002-01-01 39057
2003-01-01 40182
2004-01-01 40572
2005-01-01 42694
2006-01-01 45364
2007-01-01 45061
2008-01-01 46515
2009-01-01 46440
2010-01-01 45971
2011-01-01 42773
2012-01-01 41546
2013-01-01 45859
2014-01-01 45242
2015-01-01 51669
2016-01-01 54386
2017-01-01 54628
2018-01-01 56696
2019-01-01 57718
2020-01-01 63589
2021-01-01 64875
2022-01-01 67516

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