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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Williams County, ND
Series ID MHICIUBND38105A052NCEN
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 28235
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31145
1994-01-01 .
1995-01-01 33203
1996-01-01 .
1997-01-01 36340
1998-01-01 35885
1999-01-01 34048
2000-01-01 36140
2001-01-01 36015
2002-01-01 36633
2003-01-01 38895
2004-01-01 40685
2005-01-01 42869
2006-01-01 43466
2007-01-01 51865
2008-01-01 54883
2009-01-01 58782
2010-01-01 61236
2011-01-01 73210
2012-01-01 83571
2013-01-01 89329
2014-01-01 94725
2015-01-01 97650
2016-01-01 89927
2017-01-01 85253
2018-01-01 86817
2019-01-01 94549
2020-01-01 91290
2021-01-01 85509
2022-01-01 94158

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