Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Benito County, CA
Series ID MHICILBCA06069A052NCEN
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 2:33 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 28317
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33337
1994-01-01 .
1995-01-01 36628
1996-01-01 .
1997-01-01 39461
1998-01-01 42833
1999-01-01 48409
2000-01-01 52003
2001-01-01 52419
2002-01-01 52539
2003-01-01 52942
2004-01-01 54128
2005-01-01 57081
2006-01-01 62380
2007-01-01 61470
2008-01-01 58754
2009-01-01 55383
2010-01-01 53766
2011-01-01 58724
2012-01-01 56412
2013-01-01 62959
2014-01-01 63835
2015-01-01 71721
2016-01-01 67116
2017-01-01 70441
2018-01-01 73188
2019-01-01 77370
2020-01-01 80560
2021-01-01 87067
2022-01-01 99184
2023-01-01 98796

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