Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Alameda County, CA
Series ID MHICILBCA06001A052NCEN
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 1:12 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.
DATE VALUE
1989-01-01 32880
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38433
1994-01-01 .
1995-01-01 42301
1996-01-01 .
1997-01-01 44291
1998-01-01 45910
1999-01-01 48427
2000-01-01 52105
2001-01-01 51718
2002-01-01 52353
2003-01-01 53226
2004-01-01 54645
2005-01-01 59550
2006-01-01 62843
2007-01-01 65968
2008-01-01 68667
2009-01-01 66996
2010-01-01 65510
2011-01-01 65680
2012-01-01 68893
2013-01-01 70566
2014-01-01 75788
2015-01-01 80249
2016-01-01 87862
2017-01-01 93504
2018-01-01 100351
2019-01-01 105354
2020-01-01 110514
2021-01-01 106170
2022-01-01 118039

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