Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Greenbrier County, WV
Series ID MHICIUBWV54025A052NCEN
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 2:01 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 22570
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25820
1994-01-01 .
1995-01-01 28513
1996-01-01 .
1997-01-01 29901
1998-01-01 31358
1999-01-01 29322
2000-01-01 30661
2001-01-01 29816
2002-01-01 30685
2003-01-01 31668
2004-01-01 32722
2005-01-01 33192
2006-01-01 34262
2007-01-01 35599
2008-01-01 37456
2009-01-01 34987
2010-01-01 38387
2011-01-01 39069
2012-01-01 39107
2013-01-01 39914
2014-01-01 40626
2015-01-01 41459
2016-01-01 42481
2017-01-01 41547
2018-01-01 40351
2019-01-01 46523
2020-01-01 44275
2021-01-01 45778
2022-01-01 49561
2023-01-01 52674

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