Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pendleton County, WV
Series ID MHICILBWV54071A052NCEN
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 2:05 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 17131
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20581
1994-01-01 .
1995-01-01 22667
1996-01-01 .
1997-01-01 24213
1998-01-01 25583
1999-01-01 27767
2000-01-01 29149
2001-01-01 28770
2002-01-01 28571
2003-01-01 29329
2004-01-01 30759
2005-01-01 31183
2006-01-01 31715
2007-01-01 32571
2008-01-01 33032
2009-01-01 31827
2010-01-01 33313
2011-01-01 33297
2012-01-01 33325
2013-01-01 33452
2014-01-01 34484
2015-01-01 37053
2016-01-01 35680
2017-01-01 36953
2018-01-01 36664
2019-01-01 38642
2020-01-01 40207
2021-01-01 42120
2022-01-01 46582
2023-01-01 46946

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