Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grayson County, VA
Series ID MHICIUBVA51077A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:09 PM 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 21496
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24560
1994-01-01 .
1995-01-01 28159
1996-01-01 .
1997-01-01 29687
1998-01-01 31579
1999-01-01 30355
2000-01-01 31914
2001-01-01 30754
2002-01-01 31078
2003-01-01 31307
2004-01-01 32243
2005-01-01 33059
2006-01-01 35072
2007-01-01 33903
2008-01-01 35409
2009-01-01 36005
2010-01-01 34907
2011-01-01 34100
2012-01-01 35605
2013-01-01 36530
2014-01-01 34922
2015-01-01 40880
2016-01-01 39638
2017-01-01 39903
2018-01-01 40622
2019-01-01 46083
2020-01-01 51961
2021-01-01 47250
2022-01-01 51039

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