Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buchanan County, VA
Series ID MHICIUBVA51027A052NCEN
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 3:11 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 24576
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24944
1994-01-01 .
1995-01-01 27025
1996-01-01 .
1997-01-01 28950
1998-01-01 28511
1999-01-01 24730
2000-01-01 25731
2001-01-01 25090
2002-01-01 25529
2003-01-01 26159
2004-01-01 27383
2005-01-01 27436
2006-01-01 28276
2007-01-01 31834
2008-01-01 28683
2009-01-01 32539
2010-01-01 32140
2011-01-01 36019
2012-01-01 35960
2013-01-01 34255
2014-01-01 34917
2015-01-01 35723
2016-01-01 35012
2017-01-01 36588
2018-01-01 35332
2019-01-01 40981
2020-01-01 39961
2021-01-01 42063
2022-01-01 43938
2023-01-01 48211

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