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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Suffolk 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 1:09 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.
1989-01-01 27275
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31422
1994-01-01 .
1995-01-01 35417
1996-01-01 .
1997-01-01 37690
1998-01-01 40131
1999-01-01 41741
2000-01-01 45263
2001-01-01 44595
2002-01-01 47030
2003-01-01 49500
2004-01-01 52328
2005-01-01 57410
2006-01-01 59521
2007-01-01 60833
2008-01-01 61459
2009-01-01 59893
2010-01-01 66709
2011-01-01 65092
2012-01-01 65427
2013-01-01 63376
2014-01-01 64718
2015-01-01 64483
2016-01-01 69290
2017-01-01 72632
2018-01-01 74392
2019-01-01 82232
2020-01-01 79070
2021-01-01 83148
2022-01-01 87285

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