Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Russell County, VA
Series ID MHICILBVA51167A052NCEN
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 3:12 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 18594
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18898
1994-01-01 .
1995-01-01 20751
1996-01-01 .
1997-01-01 22798
1998-01-01 24002
1999-01-01 25127
2000-01-01 25840
2001-01-01 25382
2002-01-01 26031
2003-01-01 27114
2004-01-01 27752
2005-01-01 27271
2006-01-01 28396
2007-01-01 30780
2008-01-01 29393
2009-01-01 30076
2010-01-01 31264
2011-01-01 28411
2012-01-01 32800
2013-01-01 32902
2014-01-01 33932
2015-01-01 35108
2016-01-01 34993
2017-01-01 35870
2018-01-01 34733
2019-01-01 35624
2020-01-01 36934
2021-01-01 39950
2022-01-01 44351
2023-01-01 45931

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