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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, WA
Series ID MHICIUBWA53025A052NCEN
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 26038
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29355
1994-01-01 .
1995-01-01 34285
1996-01-01 .
1997-01-01 35483
1998-01-01 36912
1999-01-01 36491
2000-01-01 38357
2001-01-01 37003
2002-01-01 37823
2003-01-01 38633
2004-01-01 40016
2005-01-01 41370
2006-01-01 41319
2007-01-01 45040
2008-01-01 46956
2009-01-01 48359
2010-01-01 45128
2011-01-01 46838
2012-01-01 48581
2013-01-01 49142
2014-01-01 53165
2015-01-01 53559
2016-01-01 51910
2017-01-01 60031
2018-01-01 58658
2019-01-01 61235
2020-01-01 60957
2021-01-01 65955
2022-01-01 69217

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