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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for James City County, VA
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 1:09 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.
1993-01-01 44964
1994-01-01 .
1995-01-01 50951
1996-01-01 .
1997-01-01 54526
1998-01-01 57060
1999-01-01 60177
2000-01-01 62925
2001-01-01 61489
2002-01-01 63787
2003-01-01 66502
2004-01-01 70676
2005-01-01 69998
2006-01-01 71242
2007-01-01 73930
2008-01-01 81437
2009-01-01 77529
2010-01-01 78378
2011-01-01 79457
2012-01-01 82826
2013-01-01 81156
2014-01-01 82032
2015-01-01 83355
2016-01-01 89624
2017-01-01 92901
2018-01-01 93139
2019-01-01 98764
2020-01-01 95117
2021-01-01 99572
2022-01-01 112963

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