Federal Reserve Economic Data

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

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 (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 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

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