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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gilliam County, OR
Series ID MHICIUBOR41021A052NCEN
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 1:51 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 27613
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33498
1994-01-01 .
1995-01-01 36505
1996-01-01 .
1997-01-01 37864
1998-01-01 40157
1999-01-01 36337
2000-01-01 38190
2001-01-01 37228
2002-01-01 38206
2003-01-01 40613
2004-01-01 44915
2005-01-01 44346
2006-01-01 46948
2007-01-01 46455
2008-01-01 50472
2009-01-01 50736
2010-01-01 50178
2011-01-01 54347
2012-01-01 54616
2013-01-01 55041
2014-01-01 57107
2015-01-01 55906
2016-01-01 50556
2017-01-01 59717
2018-01-01 60215
2019-01-01 67166
2020-01-01 73125
2021-01-01 77383
2022-01-01 77230

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