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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chesterfield 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 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:11 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.
1989-01-01 42630
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 46767
1994-01-01 .
1995-01-01 49768
1996-01-01 .
1997-01-01 52288
1998-01-01 55433
1999-01-01 54857
2000-01-01 57136
2001-01-01 57095
2002-01-01 57697
2003-01-01 58231
2004-01-01 60152
2005-01-01 64943
2006-01-01 65344
2007-01-01 67417
2008-01-01 68692
2009-01-01 67482
2010-01-01 66271
2011-01-01 68878
2012-01-01 68253
2013-01-01 65049
2014-01-01 70081
2015-01-01 72162
2016-01-01 73058
2017-01-01 76312
2018-01-01 77802
2019-01-01 78393
2020-01-01 78626
2021-01-01 82991
2022-01-01 96461

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