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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jefferson County, OR
Series ID MHICIUBOR41031A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:03 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 26099
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29877
1994-01-01 .
1995-01-01 34273
1996-01-01 .
1997-01-01 35004
1998-01-01 35931
1999-01-01 36693
2000-01-01 38818
2001-01-01 36915
2002-01-01 37050
2003-01-01 38061
2004-01-01 40315
2005-01-01 41838
2006-01-01 42680
2007-01-01 42451
2008-01-01 47818
2009-01-01 41183
2010-01-01 44361
2011-01-01 44123
2012-01-01 44674
2013-01-01 45082
2014-01-01 46222
2015-01-01 46464
2016-01-01 49515
2017-01-01 53147
2018-01-01 55000
2019-01-01 56758
2020-01-01 69023
2021-01-01 65945
2022-01-01 71131
2023-01-01 74588
2024-01-01 76923

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