Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clallam County, WA
Series ID MHICIUBWA53009A052NCEN
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 28932
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31396
1994-01-01 .
1995-01-01 35382
1996-01-01 .
1997-01-01 37491
1998-01-01 38908
1999-01-01 38409
2000-01-01 40343
2001-01-01 38943
2002-01-01 39869
2003-01-01 41183
2004-01-01 43041
2005-01-01 45051
2006-01-01 43199
2007-01-01 45021
2008-01-01 50447
2009-01-01 46526
2010-01-01 45194
2011-01-01 51199
2012-01-01 46024
2013-01-01 49202
2014-01-01 50827
2015-01-01 50091
2016-01-01 53367
2017-01-01 52069
2018-01-01 61089
2019-01-01 61502
2020-01-01 56968
2021-01-01 66860
2022-01-01 70915

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