Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Roanoke County, VA
Series ID MHICILBVA51161A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 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 39519
1994-01-01 .
1995-01-01 40806
1996-01-01 .
1997-01-01 44724
1998-01-01 45879
1999-01-01 45840
2000-01-01 47416
2001-01-01 46389
2002-01-01 46555
2003-01-01 47320
2004-01-01 49397
2005-01-01 50015
2006-01-01 50806
2007-01-01 54737
2008-01-01 55989
2009-01-01 53148
2010-01-01 54217
2011-01-01 56070
2012-01-01 54432
2013-01-01 53967
2014-01-01 58621
2015-01-01 58331
2016-01-01 57879
2017-01-01 61051
2018-01-01 63725
2019-01-01 67461
2020-01-01 69262
2021-01-01 67149
2022-01-01 70432
2023-01-01 75410

Back to Top