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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for San Diego County, CA

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for San Diego County, CA
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 1:10 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 33223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37297
1994-01-01 .
1995-01-01 39205
1996-01-01 .
1997-01-01 41597
1998-01-01 44116
1999-01-01 46353
2000-01-01 51152
2001-01-01 50596
2002-01-01 50523
2003-01-01 51217
2004-01-01 54472
2005-01-01 57020
2006-01-01 60526
2007-01-01 62420
2008-01-01 64070
2009-01-01 61117
2010-01-01 60816
2011-01-01 60603
2012-01-01 61079
2013-01-01 62126
2014-01-01 67002
2015-01-01 68336
2016-01-01 71576
2017-01-01 76955
2018-01-01 80044
2019-01-01 85201
2020-01-01 89199
2021-01-01 91890
2022-01-01 100227

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