Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Highland County, VA
Series ID MHICIUBVA51091A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 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
1989-01-01 22716
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26132
1994-01-01 .
1995-01-01 28973
1996-01-01 .
1997-01-01 31708
1998-01-01 32831
1999-01-01 31098
2000-01-01 33372
2001-01-01 32508
2002-01-01 32870
2003-01-01 33250
2004-01-01 34987
2005-01-01 37578
2006-01-01 37723
2007-01-01 40179
2008-01-01 41998
2009-01-01 39666
2010-01-01 39073
2011-01-01 41132
2012-01-01 41088
2013-01-01 42024
2014-01-01 42815
2015-01-01 46347
2016-01-01 47428
2017-01-01 48634
2018-01-01 49948
2019-01-01 51069
2020-01-01 57844
2021-01-01 54879
2022-01-01 61016

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