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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mathews County, VA
Series ID MHICIUBVA51115A052NCEN
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 30118
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33903
1994-01-01 .
1995-01-01 36654
1996-01-01 .
1997-01-01 39498
1998-01-01 41993
1999-01-01 43734
2000-01-01 46518
2001-01-01 46081
2002-01-01 47666
2003-01-01 47635
2004-01-01 51246
2005-01-01 54980
2006-01-01 53442
2007-01-01 59663
2008-01-01 58139
2009-01-01 58456
2010-01-01 58461
2011-01-01 59344
2012-01-01 61824
2013-01-01 60537
2014-01-01 64230
2015-01-01 61855
2016-01-01 65684
2017-01-01 65910
2018-01-01 68532
2019-01-01 75833
2020-01-01 78084
2021-01-01 78112
2022-01-01 82487

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