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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ward County, ND
Series ID MHICIUBND38101A052NCEN
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 1:09 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 27286
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30162
1994-01-01 .
1995-01-01 33275
1996-01-01 .
1997-01-01 35949
1998-01-01 37077
1999-01-01 36447
2000-01-01 38542
2001-01-01 38009
2002-01-01 38933
2003-01-01 40817
2004-01-01 42363
2005-01-01 42513
2006-01-01 45474
2007-01-01 48058
2008-01-01 48232
2009-01-01 52501
2010-01-01 50487
2011-01-01 56574
2012-01-01 59154
2013-01-01 60403
2014-01-01 66514
2015-01-01 65535
2016-01-01 65248
2017-01-01 66956
2018-01-01 67898
2019-01-01 73190
2020-01-01 71996
2021-01-01 73467
2022-01-01 77496

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