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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Renville County, ND
Series ID MHICIUBND38075A052NCEN
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 23693
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31098
1994-01-01 .
1995-01-01 32875
1996-01-01 .
1997-01-01 33773
1998-01-01 34004
1999-01-01 32967
2000-01-01 36563
2001-01-01 36044
2002-01-01 36757
2003-01-01 43667
2004-01-01 40493
2005-01-01 40213
2006-01-01 43941
2007-01-01 46167
2008-01-01 51389
2009-01-01 57475
2010-01-01 61342
2011-01-01 58043
2012-01-01 60519
2013-01-01 67355
2014-01-01 66984
2015-01-01 70319
2016-01-01 63496
2017-01-01 65922
2018-01-01 66521
2019-01-01 89955
2020-01-01 77012
2021-01-01 73759
2022-01-01 79277

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