Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Whatcom County, WA
Series ID MHICIUBWA53073A052NCEN
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 1:51 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 29711
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33987
1994-01-01 .
1995-01-01 39035
1996-01-01 .
1997-01-01 40782
1998-01-01 42113
1999-01-01 42007
2000-01-01 44128
2001-01-01 42805
2002-01-01 43188
2003-01-01 44494
2004-01-01 46725
2005-01-01 46991
2006-01-01 46273
2007-01-01 50160
2008-01-01 52360
2009-01-01 50092
2010-01-01 52471
2011-01-01 53982
2012-01-01 54074
2013-01-01 54555
2014-01-01 56313
2015-01-01 57914
2016-01-01 60482
2017-01-01 63414
2018-01-01 65241
2019-01-01 72764
2020-01-01 75804
2021-01-01 76338
2022-01-01 83184

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