Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Island County, WA
Series ID MHICIUBWA53029A052NCEN
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 2:31 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 29995
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35504
1994-01-01 .
1995-01-01 40294
1996-01-01 .
1997-01-01 44391
1998-01-01 46833
1999-01-01 47855
2000-01-01 50160
2001-01-01 49012
2002-01-01 49690
2003-01-01 48447
2004-01-01 50326
2005-01-01 50238
2006-01-01 53308
2007-01-01 61006
2008-01-01 59801
2009-01-01 58835
2010-01-01 57228
2011-01-01 61417
2012-01-01 60721
2013-01-01 56476
2014-01-01 62889
2015-01-01 64181
2016-01-01 67504
2017-01-01 69450
2018-01-01 70566
2019-01-01 75802
2020-01-01 82733
2021-01-01 81007
2022-01-01 89388
2023-01-01 95244

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