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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Anderson County, KY
Series ID MHICIUBKY21005A052NCEN
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 30735
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35859
1994-01-01 .
1995-01-01 40678
1996-01-01 .
1997-01-01 43023
1998-01-01 46272
1999-01-01 47408
2000-01-01 50217
2001-01-01 49215
2002-01-01 49762
2003-01-01 50459
2004-01-01 51337
2005-01-01 50459
2006-01-01 56653
2007-01-01 59072
2008-01-01 53329
2009-01-01 56207
2010-01-01 57525
2011-01-01 56569
2012-01-01 59315
2013-01-01 57747
2014-01-01 59105
2015-01-01 60349
2016-01-01 63431
2017-01-01 57229
2018-01-01 67490
2019-01-01 68326
2020-01-01 74221
2021-01-01 74794
2022-01-01 74275

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