Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Union County, KY
Series ID MHICIUBKY21225A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 26606
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30478
1994-01-01 .
1995-01-01 32196
1996-01-01 .
1997-01-01 34413
1998-01-01 35307
1999-01-01 35735
2000-01-01 37759
2001-01-01 36821
2002-01-01 37002
2003-01-01 38100
2004-01-01 39278
2005-01-01 39767
2006-01-01 44548
2007-01-01 44118
2008-01-01 46204
2009-01-01 46624
2010-01-01 44948
2011-01-01 46066
2012-01-01 43992
2013-01-01 47553
2014-01-01 48273
2015-01-01 49794
2016-01-01 51363
2017-01-01 50941
2018-01-01 51924
2019-01-01 54909
2020-01-01 58614
2021-01-01 56899
2022-01-01 65062
2023-01-01 68056

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