Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Whitley County, KY
Series ID MHICIUBKY21235A052NCEN
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 3:11 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 19008
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20675
1994-01-01 .
1995-01-01 23781
1996-01-01 .
1997-01-01 24686
1998-01-01 25572
1999-01-01 24283
2000-01-01 25320
2001-01-01 24480
2002-01-01 24793
2003-01-01 25611
2004-01-01 26729
2005-01-01 28020
2006-01-01 29442
2007-01-01 29573
2008-01-01 29594
2009-01-01 28596
2010-01-01 32519
2011-01-01 32337
2012-01-01 31595
2013-01-01 33269
2014-01-01 33803
2015-01-01 34829
2016-01-01 35262
2017-01-01 37367
2018-01-01 39595
2019-01-01 42037
2020-01-01 38590
2021-01-01 41928
2022-01-01 48263
2023-01-01 48126

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