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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Daviess County, KY
Series ID MHICILBKY21059A052NCEN
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 1:12 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 22980
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26849
1994-01-01 .
1995-01-01 28736
1996-01-01 .
1997-01-01 31258
1998-01-01 33123
1999-01-01 34178
2000-01-01 35338
2001-01-01 34973
2002-01-01 35115
2003-01-01 36749
2004-01-01 37589
2005-01-01 36341
2006-01-01 39270
2007-01-01 39352
2008-01-01 40281
2009-01-01 40168
2010-01-01 39848
2011-01-01 41050
2012-01-01 41521
2013-01-01 44345
2014-01-01 40519
2015-01-01 45259
2016-01-01 47764
2017-01-01 46904
2018-01-01 48742
2019-01-01 48667
2020-01-01 51775
2021-01-01 53816
2022-01-01 62097

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