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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Alleghany County, VA
Series ID MHICIUBVA51005A052NCEN
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 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
1993-01-01 33188
1994-01-01 .
1995-01-01 36191
1996-01-01 .
1997-01-01 39858
1998-01-01 42192
1999-01-01 40523
2000-01-01 39889
2001-01-01 38297
2002-01-01 39166
2003-01-01 39817
2004-01-01 41029
2005-01-01 42451
2006-01-01 44283
2007-01-01 45664
2008-01-01 45855
2009-01-01 47099
2010-01-01 47092
2011-01-01 49052
2012-01-01 47121
2013-01-01 49169
2014-01-01 50135
2015-01-01 49591
2016-01-01 51782
2017-01-01 54724
2018-01-01 51176
2019-01-01 58001
2020-01-01 60283
2021-01-01 53699
2022-01-01 56322
2023-01-01 63534
2024-01-01 64170

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