Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Muhlenberg County, KY
Series ID MHICIUBKY21177A052NCEN
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 1:52 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 22139
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23795
1994-01-01 .
1995-01-01 27073
1996-01-01 .
1997-01-01 29686
1998-01-01 31347
1999-01-01 30838
2000-01-01 32046
2001-01-01 31277
2002-01-01 31636
2003-01-01 32426
2004-01-01 33177
2005-01-01 33607
2006-01-01 37159
2007-01-01 37831
2008-01-01 38204
2009-01-01 38206
2010-01-01 40255
2011-01-01 38252
2012-01-01 41143
2013-01-01 40543
2014-01-01 42130
2015-01-01 44094
2016-01-01 45771
2017-01-01 44496
2018-01-01 47340
2019-01-01 49789
2020-01-01 51954
2021-01-01 51045
2022-01-01 53669

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