Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Roanoke County, VA
Series ID MHICIUBVA51161A052NCEN
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 44051
1994-01-01 .
1995-01-01 47035
1996-01-01 .
1997-01-01 50934
1998-01-01 51957
1999-01-01 52256
2000-01-01 54972
2001-01-01 53081
2002-01-01 53285
2003-01-01 53577
2004-01-01 55963
2005-01-01 56443
2006-01-01 56879
2007-01-01 63383
2008-01-01 64076
2009-01-01 59868
2010-01-01 61223
2011-01-01 64694
2012-01-01 62668
2013-01-01 61359
2014-01-01 65249
2015-01-01 68413
2016-01-01 66733
2017-01-01 69291
2018-01-01 73743
2019-01-01 76023
2020-01-01 73964
2021-01-01 79727
2022-01-01 83588

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