Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for King County, WA
Series ID MHICILBWA53033A052NCEN
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 1:11 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 35318
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38459
1994-01-01 .
1995-01-01 42494
1996-01-01 .
1997-01-01 48849
1998-01-01 49936
1999-01-01 50009
2000-01-01 52063
2001-01-01 51098
2002-01-01 50790
2003-01-01 50921
2004-01-01 53241
2005-01-01 56924
2006-01-01 61915
2007-01-01 66064
2008-01-01 68770
2009-01-01 66444
2010-01-01 65213
2011-01-01 66938
2012-01-01 67511
2013-01-01 70753
2014-01-01 74417
2015-01-01 80772
2016-01-01 84463
2017-01-01 87771
2018-01-01 93048
2019-01-01 100308
2020-01-01 100487
2021-01-01 108640
2022-01-01 113684

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