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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rolette County, ND
Series ID MHICILBND38079A052NCEN
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 14583
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16963
1994-01-01 .
1995-01-01 18308
1996-01-01 .
1997-01-01 18776
1998-01-01 20166
1999-01-01 23428
2000-01-01 23898
2001-01-01 23530
2002-01-01 23832
2003-01-01 26138
2004-01-01 26411
2005-01-01 27060
2006-01-01 27499
2007-01-01 27507
2008-01-01 29411
2009-01-01 28533
2010-01-01 29169
2011-01-01 29678
2012-01-01 33098
2013-01-01 31408
2014-01-01 32121
2015-01-01 33942
2016-01-01 36582
2017-01-01 36399
2018-01-01 37707
2019-01-01 40301
2020-01-01 38776
2021-01-01 42834
2022-01-01 45271

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