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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bracken County, KY
Series ID MHICIUBKY21023A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:05 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 22280
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25411
1994-01-01 .
1995-01-01 29631
1996-01-01 .
1997-01-01 32359
1998-01-01 34781
1999-01-01 35889
2000-01-01 38496
2001-01-01 38357
2002-01-01 38559
2003-01-01 39859
2004-01-01 40806
2005-01-01 42705
2006-01-01 43979
2007-01-01 45698
2008-01-01 42877
2009-01-01 42930
2010-01-01 46032
2011-01-01 46197
2012-01-01 45103
2013-01-01 47511
2014-01-01 46255
2015-01-01 49470
2016-01-01 52182
2017-01-01 54498
2018-01-01 60071
2019-01-01 59630
2020-01-01 62963
2021-01-01 62180
2022-01-01 65406
2023-01-01 71384
2024-01-01 73861

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