Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Bernardino County, CA
Series ID MHICILBCA06071A052NCEN
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 28725
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32532
1994-01-01 .
1995-01-01 33386
1996-01-01 .
1997-01-01 34381
1998-01-01 35710
1999-01-01 36384
2000-01-01 38489
2001-01-01 38353
2002-01-01 39207
2003-01-01 41018
2004-01-01 40954
2005-01-01 47413
2006-01-01 51622
2007-01-01 54653
2008-01-01 53470
2009-01-01 51053
2010-01-01 51080
2011-01-01 49919
2012-01-01 49687
2013-01-01 51062
2014-01-01 51101
2015-01-01 52093
2016-01-01 55093
2017-01-01 59303
2018-01-01 61644
2019-01-01 65585
2020-01-01 64216
2021-01-01 72378
2022-01-01 77270

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