Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Thurston County, WA
Series ID MHICILBWA53067A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 29192
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34415
1994-01-01 .
1995-01-01 37736
1996-01-01 .
1997-01-01 39451
1998-01-01 41574
1999-01-01 43152
2000-01-01 45070
2001-01-01 44771
2002-01-01 46369
2003-01-01 47860
2004-01-01 49059
2005-01-01 46840
2006-01-01 51316
2007-01-01 54881
2008-01-01 59708
2009-01-01 56732
2010-01-01 58508
2011-01-01 56642
2012-01-01 55703
2013-01-01 57455
2014-01-01 59047
2015-01-01 58884
2016-01-01 63246
2017-01-01 68964
2018-01-01 69677
2019-01-01 74184
2020-01-01 74045
2021-01-01 78603
2022-01-01 85009
2023-01-01 87926

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