Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for San Juan County, WA
Series ID MHICIUBWA53055A052NCEN
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 1:09 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 31498
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35503
1994-01-01 .
1995-01-01 41379
1996-01-01 .
1997-01-01 44684
1998-01-01 45946
1999-01-01 46098
2000-01-01 48705
2001-01-01 47138
2002-01-01 47028
2003-01-01 46906
2004-01-01 48408
2005-01-01 51642
2006-01-01 54311
2007-01-01 55848
2008-01-01 60537
2009-01-01 56268
2010-01-01 54605
2011-01-01 56551
2012-01-01 55009
2013-01-01 60425
2014-01-01 58929
2015-01-01 63249
2016-01-01 64645
2017-01-01 64457
2018-01-01 65649
2019-01-01 74573
2020-01-01 81328
2021-01-01 77660
2022-01-01 92547

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