Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Butler County, KY
Series ID MHICIUBKY21031A052NCEN
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 19532
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22763
1994-01-01 .
1995-01-01 26579
1996-01-01 .
1997-01-01 28725
1998-01-01 30451
1999-01-01 30850
2000-01-01 32827
2001-01-01 31903
2002-01-01 32372
2003-01-01 32692
2004-01-01 33451
2005-01-01 34869
2006-01-01 36353
2007-01-01 39166
2008-01-01 39389
2009-01-01 36896
2010-01-01 38414
2011-01-01 35564
2012-01-01 40654
2013-01-01 40106
2014-01-01 37512
2015-01-01 43552
2016-01-01 45905
2017-01-01 50717
2018-01-01 47497
2019-01-01 51666
2020-01-01 51986
2021-01-01 55208
2022-01-01 55960

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