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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clarke County, VA
Series ID MHICIUBVA51043A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:02 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 31821
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38826
1994-01-01 .
1995-01-01 42262
1996-01-01 .
1997-01-01 46540
1998-01-01 50365
1999-01-01 52596
2000-01-01 56785
2001-01-01 55760
2002-01-01 57345
2003-01-01 57307
2004-01-01 60602
2005-01-01 64108
2006-01-01 68234
2007-01-01 69294
2008-01-01 72847
2009-01-01 71714
2010-01-01 73976
2011-01-01 79873
2012-01-01 73854
2013-01-01 78748
2014-01-01 77037
2015-01-01 78825
2016-01-01 84867
2017-01-01 84597
2018-01-01 92563
2019-01-01 95750
2020-01-01 101097
2021-01-01 102346
2022-01-01 114553
2023-01-01 113682
2024-01-01 116002

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