Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Campbell County, VA
Series ID MHICIUBVA51031A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 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
1993-01-01 33875
1994-01-01 .
1995-01-01 36046
1996-01-01 .
1997-01-01 38063
1998-01-01 40400
1999-01-01 38864
2000-01-01 41085
2001-01-01 39794
2002-01-01 40006
2003-01-01 41078
2004-01-01 42617
2005-01-01 43385
2006-01-01 43587
2007-01-01 46743
2008-01-01 45568
2009-01-01 48067
2010-01-01 44563
2011-01-01 50535
2012-01-01 43804
2013-01-01 50912
2014-01-01 50186
2015-01-01 50467
2016-01-01 54075
2017-01-01 55773
2018-01-01 54097
2019-01-01 53160
2020-01-01 66038
2021-01-01 55950
2022-01-01 69236
2023-01-01 75623

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