Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Webster County, KY
Series ID MHICILBKY21233A052NCEN
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 3:13 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 20343
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23510
1994-01-01 .
1995-01-01 23994
1996-01-01 .
1997-01-01 27139
1998-01-01 28698
1999-01-01 29950
2000-01-01 30891
2001-01-01 30854
2002-01-01 30981
2003-01-01 32113
2004-01-01 33972
2005-01-01 33495
2006-01-01 31265
2007-01-01 36123
2008-01-01 35920
2009-01-01 37662
2010-01-01 37662
2011-01-01 36643
2012-01-01 37464
2013-01-01 37037
2014-01-01 38913
2015-01-01 39924
2016-01-01 39017
2017-01-01 38572
2018-01-01 42012
2019-01-01 44200
2020-01-01 46085
2021-01-01 47473
2022-01-01 51584
2023-01-01 52155

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