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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mason County, WA
Series ID MHICIUBWA53045A052NCEN
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 7:01 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 28229
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32765
1994-01-01 .
1995-01-01 37595
1996-01-01 .
1997-01-01 38572
1998-01-01 40716
1999-01-01 41022
2000-01-01 43055
2001-01-01 41573
2002-01-01 42949
2003-01-01 44052
2004-01-01 46248
2005-01-01 45637
2006-01-01 50009
2007-01-01 50371
2008-01-01 54301
2009-01-01 51720
2010-01-01 49609
2011-01-01 47155
2012-01-01 52536
2013-01-01 50680
2014-01-01 55321
2015-01-01 58293
2016-01-01 56067
2017-01-01 59476
2018-01-01 61783
2019-01-01 68913
2020-01-01 69299
2021-01-01 78878
2022-01-01 83323
2023-01-01 82553
2024-01-01 91224

Back to Top