Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Whitley County, KY
Series ID MHICILBKY21235A052NCEN
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 1:12 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 14299
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16060
1994-01-01 .
1995-01-01 17536
1996-01-01 .
1997-01-01 18402
1998-01-01 19335
1999-01-01 21136
2000-01-01 21650
2001-01-01 21187
2002-01-01 21455
2003-01-01 22434
2004-01-01 23427
2005-01-01 23535
2006-01-01 24846
2007-01-01 25276
2008-01-01 25193
2009-01-01 23693
2010-01-01 27107
2011-01-01 27403
2012-01-01 26583
2013-01-01 28487
2014-01-01 28369
2015-01-01 28977
2016-01-01 28708
2017-01-01 30251
2018-01-01 34131
2019-01-01 34345
2020-01-01 30528
2021-01-01 33132
2022-01-01 38945

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