Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tehama County, CA
Series ID MHICILBCA06103A052NCEN
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 18942
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21866
1994-01-01 .
1995-01-01 23217
1996-01-01 .
1997-01-01 24918
1998-01-01 25403
1999-01-01 28060
2000-01-01 29281
2001-01-01 28567
2002-01-01 29203
2003-01-01 30891
2004-01-01 32432
2005-01-01 31753
2006-01-01 33680
2007-01-01 34207
2008-01-01 35092
2009-01-01 35818
2010-01-01 35045
2011-01-01 34929
2012-01-01 35698
2013-01-01 40144
2014-01-01 37503
2015-01-01 36992
2016-01-01 36868
2017-01-01 37967
2018-01-01 43926
2019-01-01 45983
2020-01-01 55919
2021-01-01 47435
2022-01-01 54112

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