Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marin County, CA
Series ID MHICIUBCA06041A052NCEN
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 49316
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 52830
1994-01-01 .
1995-01-01 56169
1996-01-01 .
1997-01-01 63959
1998-01-01 65224
1999-01-01 72339
2000-01-01 77794
2001-01-01 78437
2002-01-01 75897
2003-01-01 71177
2004-01-01 72205
2005-01-01 81167
2006-01-01 84625
2007-01-01 88151
2008-01-01 95027
2009-01-01 92059
2010-01-01 87612
2011-01-01 82658
2012-01-01 93162
2013-01-01 99035
2014-01-01 100815
2015-01-01 104195
2016-01-01 108752
2017-01-01 118333
2018-01-01 129054
2019-01-01 118255
2020-01-01 138118
2021-01-01 126032
2022-01-01 145706
2023-01-01 146023

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