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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Siskiyou County, CA
Series ID MHICILBCA06093A052NCEN
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 19795
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21776
1994-01-01 .
1995-01-01 23326
1996-01-01 .
1997-01-01 25063
1998-01-01 25962
1999-01-01 27426
2000-01-01 28378
2001-01-01 27742
2002-01-01 28256
2003-01-01 29244
2004-01-01 30527
2005-01-01 32621
2006-01-01 31713
2007-01-01 33268
2008-01-01 34332
2009-01-01 36930
2010-01-01 33099
2011-01-01 32217
2012-01-01 34590
2013-01-01 34232
2014-01-01 35758
2015-01-01 34893
2016-01-01 37082
2017-01-01 41189
2018-01-01 44496
2019-01-01 41295
2020-01-01 44615
2021-01-01 45178
2022-01-01 47125

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