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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Breckinridge County, KY
Series ID MHICIUBKY21027A052NCEN
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 20703
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23820
1994-01-01 .
1995-01-01 27106
1996-01-01 .
1997-01-01 30166
1998-01-01 31911
1999-01-01 31857
2000-01-01 34078
2001-01-01 33676
2002-01-01 34254
2003-01-01 35398
2004-01-01 35734
2005-01-01 35268
2006-01-01 38597
2007-01-01 40169
2008-01-01 42531
2009-01-01 40560
2010-01-01 38383
2011-01-01 41467
2012-01-01 43673
2013-01-01 43378
2014-01-01 45513
2015-01-01 46173
2016-01-01 47437
2017-01-01 46925
2018-01-01 51410
2019-01-01 51215
2020-01-01 57507
2021-01-01 55484
2022-01-01 58358

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