Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clay County, KY
Series ID MHICIUBKY21051A052NCEN
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 16351
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18116
1994-01-01 .
1995-01-01 21810
1996-01-01 .
1997-01-01 22502
1998-01-01 23805
1999-01-01 19644
2000-01-01 19916
2001-01-01 19175
2002-01-01 19335
2003-01-01 20324
2004-01-01 21000
2005-01-01 21570
2006-01-01 21888
2007-01-01 22994
2008-01-01 24503
2009-01-01 24566
2010-01-01 26399
2011-01-01 24309
2012-01-01 24989
2013-01-01 26302
2014-01-01 27598
2015-01-01 26370
2016-01-01 27578
2017-01-01 29285
2018-01-01 30946
2019-01-01 33661
2020-01-01 30548
2021-01-01 34069
2022-01-01 38500
2023-01-01 40942

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