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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Williams County, ND
Series ID MHICILBND38105A052NCEN
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 23909
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26702
1994-01-01 .
1995-01-01 27027
1996-01-01 .
1997-01-01 30142
1998-01-01 29711
1999-01-01 29812
2000-01-01 31052
2001-01-01 31290
2002-01-01 31827
2003-01-01 34162
2004-01-01 35708
2005-01-01 36974
2006-01-01 37300
2007-01-01 45973
2008-01-01 45723
2009-01-01 49133
2010-01-01 52142
2011-01-01 61774
2012-01-01 74959
2013-01-01 79145
2014-01-01 77983
2015-01-01 82070
2016-01-01 73511
2017-01-01 75069
2018-01-01 71891
2019-01-01 74663
2020-01-01 67676
2021-01-01 68593
2022-01-01 74132

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