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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Greenup County, KY
Series ID MHICIUBKY21089A052NCEN
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 27530
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29334
1994-01-01 .
1995-01-01 32587
1996-01-01 .
1997-01-01 34312
1998-01-01 34987
1999-01-01 34098
2000-01-01 35815
2001-01-01 35077
2002-01-01 35775
2003-01-01 36777
2004-01-01 37714
2005-01-01 38343
2006-01-01 41311
2007-01-01 43089
2008-01-01 43211
2009-01-01 42919
2010-01-01 44244
2011-01-01 45585
2012-01-01 47277
2013-01-01 47853
2014-01-01 45075
2015-01-01 48768
2016-01-01 50040
2017-01-01 51029
2018-01-01 54114
2019-01-01 56909
2020-01-01 58137
2021-01-01 58137
2022-01-01 59628

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