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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Spokane County, WA
Series ID MHICILBWA53063A052NCEN
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 23572
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28653
1994-01-01 .
1995-01-01 30998
1996-01-01 .
1997-01-01 32851
1998-01-01 34351
1999-01-01 34622
2000-01-01 35631
2001-01-01 35050
2002-01-01 36177
2003-01-01 37618
2004-01-01 38231
2005-01-01 39874
2006-01-01 41315
2007-01-01 45121
2008-01-01 46593
2009-01-01 42892
2010-01-01 45353
2011-01-01 46880
2012-01-01 46012
2013-01-01 45873
2014-01-01 48190
2015-01-01 47149
2016-01-01 51148
2017-01-01 51643
2018-01-01 57344
2019-01-01 57897
2020-01-01 58045
2021-01-01 63518
2022-01-01 66073

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