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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Edmonson County, KY
Series ID MHICILBKY21061A052NCEN
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 14506
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16628
1994-01-01 .
1995-01-01 19577
1996-01-01 .
1997-01-01 21235
1998-01-01 23828
1999-01-01 24658
2000-01-01 25335
2001-01-01 25079
2002-01-01 25729
2003-01-01 27319
2004-01-01 28171
2005-01-01 27275
2006-01-01 29107
2007-01-01 31219
2008-01-01 30385
2009-01-01 30186
2010-01-01 31676
2011-01-01 32988
2012-01-01 32995
2013-01-01 32974
2014-01-01 35105
2015-01-01 35539
2016-01-01 34297
2017-01-01 35524
2018-01-01 38905
2019-01-01 43602
2020-01-01 37849
2021-01-01 41877
2022-01-01 45224

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