Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Shenandoah County, VA
Series ID MHICIUBVA51171A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 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
1989-01-01 27047
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32129
1994-01-01 .
1995-01-01 34421
1996-01-01 .
1997-01-01 37478
1998-01-01 39549
1999-01-01 40507
2000-01-01 43445
2001-01-01 42561
2002-01-01 43409
2003-01-01 44575
2004-01-01 46741
2005-01-01 46990
2006-01-01 50476
2007-01-01 52337
2008-01-01 52836
2009-01-01 50694
2010-01-01 49724
2011-01-01 51904
2012-01-01 52676
2013-01-01 51496
2014-01-01 49180
2015-01-01 57862
2016-01-01 58202
2017-01-01 60824
2018-01-01 59565
2019-01-01 65389
2020-01-01 60595
2021-01-01 72331
2022-01-01 72217
2023-01-01 81606

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