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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bedford County, VA
Series ID MHICIUBVA51019A052NCEN
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 1:09 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 37798
1994-01-01 .
1995-01-01 42216
1996-01-01 .
1997-01-01 45622
1998-01-01 48533
1999-01-01 46897
2000-01-01 49839
2001-01-01 48057
2002-01-01 48981
2003-01-01 50340
2004-01-01 51676
2005-01-01 53924
2006-01-01 54395
2007-01-01 57451
2008-01-01 59275
2009-01-01 56129
2010-01-01 55228
2011-01-01 61993
2012-01-01 60629
2013-01-01 60818
2014-01-01 59232
2015-01-01 57907
2016-01-01 59968
2017-01-01 67344
2018-01-01 66001
2019-01-01 71129
2020-01-01 76436
2021-01-01 71188
2022-01-01 76357

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