Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Augusta County, VA
Series ID MHICIUBVA51015A052NCEN
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 1:51 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 36039
1994-01-01 .
1995-01-01 38283
1996-01-01 .
1997-01-01 42050
1998-01-01 44190
1999-01-01 44141
2000-01-01 46634
2001-01-01 45258
2002-01-01 46474
2003-01-01 48276
2004-01-01 49998
2005-01-01 49131
2006-01-01 51284
2007-01-01 54657
2008-01-01 56711
2009-01-01 53171
2010-01-01 53233
2011-01-01 55611
2012-01-01 53261
2013-01-01 57749
2014-01-01 60150
2015-01-01 61021
2016-01-01 60965
2017-01-01 62653
2018-01-01 64457
2019-01-01 68296
2020-01-01 71961
2021-01-01 75310
2022-01-01 84082

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