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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Barnes County, ND
Series ID MHICIUBND38003A052NCEN
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 1:10 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 23281
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27709
1994-01-01 .
1995-01-01 30494
1996-01-01 .
1997-01-01 32736
1998-01-01 34679
1999-01-01 33510
2000-01-01 35928
2001-01-01 35276
2002-01-01 36428
2003-01-01 38922
2004-01-01 39245
2005-01-01 42558
2006-01-01 42734
2007-01-01 42576
2008-01-01 47476
2009-01-01 48489
2010-01-01 50054
2011-01-01 52435
2012-01-01 55368
2013-01-01 56797
2014-01-01 56842
2015-01-01 56102
2016-01-01 58644
2017-01-01 62465
2018-01-01 60350
2019-01-01 66968
2020-01-01 54648
2021-01-01 66613
2022-01-01 73915

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