Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Russell County, VA
Series ID MHICIUBVA51167A052NCEN
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 23166
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23490
1994-01-01 .
1995-01-01 26943
1996-01-01 .
1997-01-01 29097
1998-01-01 30238
1999-01-01 28753
2000-01-01 30079
2001-01-01 29242
2002-01-01 30028
2003-01-01 30894
2004-01-01 31667
2005-01-01 32460
2006-01-01 33336
2007-01-01 36584
2008-01-01 34807
2009-01-01 36365
2010-01-01 37656
2011-01-01 32713
2012-01-01 39024
2013-01-01 39312
2014-01-01 40824
2015-01-01 41664
2016-01-01 43013
2017-01-01 42568
2018-01-01 43199
2019-01-01 45066
2020-01-01 49478
2021-01-01 50558
2022-01-01 54723
2023-01-01 56987

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