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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tillamook County, OR
Series ID MHICIUBOR41057A052NCEN
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 23794
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27286
1994-01-01 .
1995-01-01 31728
1996-01-01 .
1997-01-01 33611
1998-01-01 33854
1999-01-01 35152
2000-01-01 37231
2001-01-01 36370
2002-01-01 36433
2003-01-01 36977
2004-01-01 38716
2005-01-01 40983
2006-01-01 40267
2007-01-01 45549
2008-01-01 38951
2009-01-01 44699
2010-01-01 43873
2011-01-01 44574
2012-01-01 46466
2013-01-01 44709
2014-01-01 44949
2015-01-01 48856
2016-01-01 50151
2017-01-01 51957
2018-01-01 56871
2019-01-01 58015
2020-01-01 62937
2021-01-01 62155
2022-01-01 68830
2023-01-01 75381
2024-01-01 73115

Back to Top