NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Thurston County, WA Series ID: MHICIUBWA53067A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 33358 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 38675 1994-01-01 . 1995-01-01 43449 1996-01-01 . 1997-01-01 45252 1998-01-01 47358 1999-01-01 48994 2000-01-01 51862 2001-01-01 51058 2002-01-01 52863 2003-01-01 53938 2004-01-01 55283 2005-01-01 52505 2006-01-01 55198 2007-01-01 60483 2008-01-01 64584 2009-01-01 60333 2010-01-01 62836 2011-01-01 62746 2012-01-01 61409 2013-01-01 62299 2014-01-01 64259 2015-01-01 65714 2016-01-01 68122 2017-01-01 73776 2018-01-01 75123 2019-01-01 81596 2020-01-01 85493 2021-01-01 84485 2022-01-01 92111