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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chesterfield County, VA
Series ID MHICIUBVA51041A052NCEN
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 47090
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 51145
1994-01-01 .
1995-01-01 55552
1996-01-01 .
1997-01-01 58344
1998-01-01 61396
1999-01-01 62386
2000-01-01 65999
2001-01-01 65221
2002-01-01 65958
2003-01-01 65814
2004-01-01 67948
2005-01-01 68308
2006-01-01 69972
2007-01-01 71749
2008-01-01 73961
2009-01-01 72629
2010-01-01 72109
2011-01-01 73270
2012-01-01 72489
2013-01-01 69859
2014-01-01 75863
2015-01-01 78052
2016-01-01 79462
2017-01-01 84834
2018-01-01 83666
2019-01-01 84889
2020-01-01 88570
2021-01-01 89211
2022-01-01 103837

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