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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bourbon County, KY
Series ID MHICILBKY21017A052NCEN
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 19843
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24298
1994-01-01 .
1995-01-01 25761
1996-01-01 .
1997-01-01 30118
1998-01-01 31995
1999-01-01 32682
2000-01-01 34132
2001-01-01 33599
2002-01-01 33438
2003-01-01 34510
2004-01-01 34454
2005-01-01 33186
2006-01-01 35932
2007-01-01 38175
2008-01-01 37213
2009-01-01 34677
2010-01-01 35673
2011-01-01 37000
2012-01-01 35602
2013-01-01 36414
2014-01-01 39481
2015-01-01 42955
2016-01-01 41935
2017-01-01 41454
2018-01-01 43630
2019-01-01 42600
2020-01-01 46363
2021-01-01 52472
2022-01-01 50478

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