Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Juan County, WA
Series ID MHICILBWA53055A052NCEN
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 1:53 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 26954
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30974
1994-01-01 .
1995-01-01 35197
1996-01-01 .
1997-01-01 38520
1998-01-01 39868
1999-01-01 40468
2000-01-01 41984
2001-01-01 41123
2002-01-01 41000
2003-01-01 41384
2004-01-01 42694
2005-01-01 44053
2006-01-01 46514
2007-01-01 48387
2008-01-01 51260
2009-01-01 48047
2010-01-01 47067
2011-01-01 48191
2012-01-01 47439
2013-01-01 52909
2014-01-01 50513
2015-01-01 56469
2016-01-01 54671
2017-01-01 54619
2018-01-01 58849
2019-01-01 63653
2020-01-01 67738
2021-01-01 65696
2022-01-01 75501

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