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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Umatilla County, OR
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 21066
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25185
1994-01-01 .
1995-01-01 26527
1996-01-01 .
1997-01-01 28577
1998-01-01 30452
1999-01-01 32256
2000-01-01 33530
2001-01-01 33074
2002-01-01 33581
2003-01-01 34758
2004-01-01 36111
2005-01-01 36552
2006-01-01 40612
2007-01-01 37587
2008-01-01 42455
2009-01-01 45089
2010-01-01 41144
2011-01-01 39584
2012-01-01 43863
2013-01-01 44161
2014-01-01 41922
2015-01-01 46863
2016-01-01 46166
2017-01-01 47381
2018-01-01 49357
2019-01-01 53922
2020-01-01 57542
2021-01-01 53223
2022-01-01 65761

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