Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for San Mateo County, CA
Series ID MHICIUBCA06081A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 45443
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 50087
1994-01-01 .
1995-01-01 53593
1996-01-01 .
1997-01-01 60041
1998-01-01 62575
1999-01-01 68850
2000-01-01 75641
2001-01-01 74698
2002-01-01 72100
2003-01-01 69231
2004-01-01 69521
2005-01-01 76564
2006-01-01 80304
2007-01-01 85258
2008-01-01 87280
2009-01-01 87392
2010-01-01 84554
2011-01-01 84328
2012-01-01 83271
2013-01-01 92672
2014-01-01 102109
2015-01-01 102414
2016-01-01 111396
2017-01-01 119001
2018-01-01 126860
2019-01-01 140574
2020-01-01 138129
2021-01-01 134588
2022-01-01 149762
2023-01-01 154186

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