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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hancock County, KY
Series ID MHICIUBKY21091A052NCEN
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 29626
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34881
1994-01-01 .
1995-01-01 38837
1996-01-01 .
1997-01-01 41890
1998-01-01 44212
1999-01-01 41124
2000-01-01 43191
2001-01-01 42418
2002-01-01 43373
2003-01-01 44475
2004-01-01 46067
2005-01-01 45735
2006-01-01 48782
2007-01-01 52303
2008-01-01 50730
2009-01-01 52249
2010-01-01 51154
2011-01-01 56071
2012-01-01 54397
2013-01-01 55715
2014-01-01 55433
2015-01-01 58294
2016-01-01 62058
2017-01-01 53193
2018-01-01 62457
2019-01-01 66947
2020-01-01 66090
2021-01-01 68217
2022-01-01 73971

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