Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Los Angeles County, CA
Series ID MHICIUBCA06037A052NCEN
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 32013
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33556
1994-01-01 .
1995-01-01 34803
1996-01-01 .
1997-01-01 37571
1998-01-01 38845
1999-01-01 40132
2000-01-01 43375
2001-01-01 42912
2002-01-01 42844
2003-01-01 42803
2004-01-01 44872
2005-01-01 48823
2006-01-01 51675
2007-01-01 54156
2008-01-01 55987
2009-01-01 55009
2010-01-01 53210
2011-01-01 52699
2012-01-01 53445
2013-01-01 55014
2014-01-01 56207
2015-01-01 59630
2016-01-01 61686
2017-01-01 65572
2018-01-01 68679
2019-01-01 73365
2020-01-01 76718
2021-01-01 78048
2022-01-01 83097
2023-01-01 87265

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