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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Imperial County, CA
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 1:53 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.
1989-01-01 20884
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22789
1994-01-01 .
1995-01-01 25399
1996-01-01 .
1997-01-01 26844
1998-01-01 27840
1999-01-01 31418
2000-01-01 34749
2001-01-01 33333
2002-01-01 33950
2003-01-01 34993
2004-01-01 36041
2005-01-01 37112
2006-01-01 38294
2007-01-01 35747
2008-01-01 39883
2009-01-01 40055
2010-01-01 41790
2011-01-01 39932
2012-01-01 41163
2013-01-01 42858
2014-01-01 42041
2015-01-01 42868
2016-01-01 46846
2017-01-01 47202
2018-01-01 50017
2019-01-01 51027
2020-01-01 53062
2021-01-01 53841
2022-01-01 60426

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