Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bath County, VA
Series ID MHICIUBVA51017A052NCEN
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 2:30 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 23726
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28714
1994-01-01 .
1995-01-01 32366
1996-01-01 .
1997-01-01 35841
1998-01-01 36947
1999-01-01 36911
2000-01-01 39061
2001-01-01 38059
2002-01-01 38367
2003-01-01 38889
2004-01-01 40612
2005-01-01 43023
2006-01-01 43770
2007-01-01 46482
2008-01-01 46589
2009-01-01 46906
2010-01-01 45124
2011-01-01 46629
2012-01-01 46995
2013-01-01 47260
2014-01-01 48424
2015-01-01 48579
2016-01-01 52093
2017-01-01 54024
2018-01-01 56181
2019-01-01 60357
2020-01-01 64966
2021-01-01 63211
2022-01-01 67403
2023-01-01 67986

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