Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Joaquin County, CA
Series ID MHICILBCA06077A052NCEN
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 2:05 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 25951
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28944
1994-01-01 .
1995-01-01 30583
1996-01-01 .
1997-01-01 32802
1998-01-01 34120
1999-01-01 35877
2000-01-01 37921
2001-01-01 37511
2002-01-01 38460
2003-01-01 40321
2004-01-01 42235
2005-01-01 47023
2006-01-01 50533
2007-01-01 49836
2008-01-01 52494
2009-01-01 50279
2010-01-01 48311
2011-01-01 48772
2012-01-01 49225
2013-01-01 50039
2014-01-01 50269
2015-01-01 51103
2016-01-01 57286
2017-01-01 59547
2018-01-01 61395
2019-01-01 66073
2020-01-01 67939
2021-01-01 77211
2022-01-01 81692
2023-01-01 83151

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