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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Oconto County, WI
Series ID MHICIUBWI55083A052NCEN
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 25415
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30181
1994-01-01 .
1995-01-01 34145
1996-01-01 .
1997-01-01 37014
1998-01-01 39494
1999-01-01 42403
2000-01-01 45490
2001-01-01 44967
2002-01-01 45659
2003-01-01 46408
2004-01-01 48563
2005-01-01 46691
2006-01-01 47877
2007-01-01 51191
2008-01-01 53573
2009-01-01 51543
2010-01-01 47014
2011-01-01 55479
2012-01-01 54842
2013-01-01 55999
2014-01-01 56275
2015-01-01 56300
2016-01-01 61181
2017-01-01 61180
2018-01-01 64641
2019-01-01 68925
2020-01-01 71530
2021-01-01 72527
2022-01-01 74221

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