Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Webster County, KY
Series ID MHICIUBKY21233A052NCEN
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 24913
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28069
1994-01-01 .
1995-01-01 30275
1996-01-01 .
1997-01-01 33494
1998-01-01 35040
1999-01-01 34123
2000-01-01 35996
2001-01-01 35421
2002-01-01 35586
2003-01-01 36443
2004-01-01 38601
2005-01-01 39745
2006-01-01 35733
2007-01-01 43722
2008-01-01 43588
2009-01-01 43945
2010-01-01 45370
2011-01-01 44265
2012-01-01 45392
2013-01-01 44725
2014-01-01 47135
2015-01-01 48566
2016-01-01 48193
2017-01-01 47364
2018-01-01 52252
2019-01-01 53958
2020-01-01 59717
2021-01-01 57677
2022-01-01 60520
2023-01-01 66365

Subscribe to the FRED newsletter


Follow us

Back to Top