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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Nelson County, ND
Series ID MHICIUBND38063A052NCEN
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 1:51 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 21571
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26965
1994-01-01 .
1995-01-01 26701
1996-01-01 .
1997-01-01 28954
1998-01-01 30996
1999-01-01 30452
2000-01-01 32500
2001-01-01 31773
2002-01-01 32505
2003-01-01 34577
2004-01-01 33506
2005-01-01 34598
2006-01-01 36809
2007-01-01 38354
2008-01-01 40055
2009-01-01 43683
2010-01-01 44902
2011-01-01 47619
2012-01-01 50530
2013-01-01 57988
2014-01-01 49721
2015-01-01 51469
2016-01-01 50009
2017-01-01 52954
2018-01-01 55465
2019-01-01 62187
2020-01-01 61169
2021-01-01 69142
2022-01-01 67002

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