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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, WA
Series ID MHICILBWA53025A052NCEN
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 1:11 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 21544
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24840
1994-01-01 .
1995-01-01 28022
1996-01-01 .
1997-01-01 29310
1998-01-01 30841
1999-01-01 31990
2000-01-01 33050
2001-01-01 32267
2002-01-01 32967
2003-01-01 34076
2004-01-01 35292
2005-01-01 35885
2006-01-01 35755
2007-01-01 38739
2008-01-01 40663
2009-01-01 42008
2010-01-01 39900
2011-01-01 39460
2012-01-01 41519
2013-01-01 42988
2014-01-01 47611
2015-01-01 47587
2016-01-01 46084
2017-01-01 51583
2018-01-01 48718
2019-01-01 53069
2020-01-01 48549
2021-01-01 57675
2022-01-01 58401

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