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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bedford County, VA
Series ID MHICILBVA51019A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:11 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 33281
1994-01-01 .
1995-01-01 36078
1996-01-01 .
1997-01-01 39441
1998-01-01 42399
1999-01-01 41132
2000-01-01 42864
2001-01-01 41914
2002-01-01 42683
2003-01-01 44374
2004-01-01 45554
2005-01-01 45700
2006-01-01 47149
2007-01-01 50194
2008-01-01 50155
2009-01-01 49877
2010-01-01 48084
2011-01-01 54535
2012-01-01 53191
2013-01-01 52958
2014-01-01 51782
2015-01-01 50399
2016-01-01 51448
2017-01-01 63000
2018-01-01 56371
2019-01-01 62053
2020-01-01 63572
2021-01-01 60864
2022-01-01 65913

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