Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bedford City, VA (DISCONTINUED)

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bedford City, VA (DISCONTINUED)
Series ID MHICIUBVA51515A052NCEN
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 2013-01-01
Last Updated 2016-01-05 11:06 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 27509
1994-01-01 .
1995-01-01 33477
1996-01-01 .
1997-01-01 33154
1998-01-01 32345
1999-01-01 31236
2000-01-01 33861
2001-01-01 33890
2002-01-01 33661
2003-01-01 32735
2004-01-01 33846
2005-01-01 35155
2006-01-01 36460
2007-01-01 36928
2008-01-01 40254
2009-01-01 37822
2010-01-01 39064
2011-01-01 40233
2012-01-01 39945
2013-01-01 41301

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