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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Richmond City, 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 21842
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23974
1994-01-01 .
1995-01-01 23168
1996-01-01 .
1997-01-01 26181
1998-01-01 28052
1999-01-01 28221
2000-01-01 29776
2001-01-01 29376
2002-01-01 29155
2003-01-01 29816
2004-01-01 30568
2005-01-01 32538
2006-01-01 33963
2007-01-01 36200
2008-01-01 35176
2009-01-01 35074
2010-01-01 37222
2011-01-01 35903
2012-01-01 35533
2013-01-01 37088
2014-01-01 39728
2015-01-01 38255
2016-01-01 39566
2017-01-01 44008
2018-01-01 46825
2019-01-01 47868
2020-01-01 52925
2021-01-01 48627
2022-01-01 55169

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