Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Edmonson County, KY
Series ID MHICIUBKY21061A052NCEN
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 3:12 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 19056
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21507
1994-01-01 .
1995-01-01 25728
1996-01-01 .
1997-01-01 27883
1998-01-01 30257
1999-01-01 28225
2000-01-01 29486
2001-01-01 28909
2002-01-01 29658
2003-01-01 31098
2004-01-01 32069
2005-01-01 32616
2006-01-01 34703
2007-01-01 37679
2008-01-01 37186
2009-01-01 36914
2010-01-01 38022
2011-01-01 39654
2012-01-01 39083
2013-01-01 39674
2014-01-01 41983
2015-01-01 41807
2016-01-01 42493
2017-01-01 43456
2018-01-01 47397
2019-01-01 51362
2020-01-01 51069
2021-01-01 53591
2022-01-01 57580
2023-01-01 62120

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