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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pend Oreille County, WA
Series ID MHICILBWA53051A052NCEN
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 19181
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21272
1994-01-01 .
1995-01-01 25504
1996-01-01 .
1997-01-01 26426
1998-01-01 27845
1999-01-01 29211
2000-01-01 30400
2001-01-01 29926
2002-01-01 30796
2003-01-01 32168
2004-01-01 32854
2005-01-01 30831
2006-01-01 32485
2007-01-01 35509
2008-01-01 35287
2009-01-01 35710
2010-01-01 35458
2011-01-01 33921
2012-01-01 36500
2013-01-01 41444
2014-01-01 38373
2015-01-01 37524
2016-01-01 45398
2017-01-01 43721
2018-01-01 45148
2019-01-01 46349
2020-01-01 49671
2021-01-01 48677
2022-01-01 52175

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