Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, WV
Series ID MHICIUBWV54013A052NCEN
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 18287
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19912
1994-01-01 .
1995-01-01 22431
1996-01-01 .
1997-01-01 25405
1998-01-01 26566
1999-01-01 24330
2000-01-01 25152
2001-01-01 24157
2002-01-01 24673
2003-01-01 25357
2004-01-01 26276
2005-01-01 28019
2006-01-01 28503
2007-01-01 30516
2008-01-01 28219
2009-01-01 31843
2010-01-01 31858
2011-01-01 31300
2012-01-01 35638
2013-01-01 35050
2014-01-01 35471
2015-01-01 39656
2016-01-01 36841
2017-01-01 37153
2018-01-01 40327
2019-01-01 41966
2020-01-01 47142
2021-01-01 43551
2022-01-01 48423
2023-01-01 51349

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