Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grayson County, VA
Series ID MHICILBVA51077A052NCEN
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 1:11 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 16980
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20025
1994-01-01 .
1995-01-01 21998
1996-01-01 .
1997-01-01 23512
1998-01-01 25447
1999-01-01 26621
2000-01-01 27479
2001-01-01 26815
2002-01-01 27073
2003-01-01 27582
2004-01-01 28400
2005-01-01 27637
2006-01-01 29910
2007-01-01 28406
2008-01-01 29389
2009-01-01 29621
2010-01-01 28953
2011-01-01 28472
2012-01-01 29617
2013-01-01 30074
2014-01-01 28864
2015-01-01 34488
2016-01-01 32588
2017-01-01 34591
2018-01-01 34478
2019-01-01 36541
2020-01-01 39831
2021-01-01 37856
2022-01-01 39789

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