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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Anderson County, KY
Series ID MHICILBKY21005A052NCEN
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 1:54 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 26206
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31269
1994-01-01 .
1995-01-01 34479
1996-01-01 .
1997-01-01 36785
1998-01-01 40081
1999-01-01 41637
2000-01-01 43275
2001-01-01 42961
2002-01-01 43401
2003-01-01 44592
2004-01-01 45405
2005-01-01 44370
2006-01-01 47459
2007-01-01 50567
2008-01-01 45902
2009-01-01 46765
2010-01-01 47795
2011-01-01 47065
2012-01-01 50093
2013-01-01 47957
2014-01-01 49557
2015-01-01 50697
2016-01-01 51465
2017-01-01 48997
2018-01-01 54326
2019-01-01 54290
2020-01-01 56665
2021-01-01 60752
2022-01-01 59417

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