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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nelson County, ND
Series ID MHICILBND38063A052NCEN
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 1:54 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 17150
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22244
1994-01-01 .
1995-01-01 20355
1996-01-01 .
1997-01-01 22691
1998-01-01 24339
1999-01-01 26667
2000-01-01 27904
2001-01-01 27648
2002-01-01 28279
2003-01-01 30415
2004-01-01 29321
2005-01-01 28832
2006-01-01 30770
2007-01-01 31831
2008-01-01 32860
2009-01-01 35584
2010-01-01 37680
2011-01-01 39233
2012-01-01 42054
2013-01-01 53842
2014-01-01 40359
2015-01-01 44923
2016-01-01 40457
2017-01-01 42462
2018-01-01 44721
2019-01-01 50009
2020-01-01 44847
2021-01-01 55048
2022-01-01 52892

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