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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marinette County, WI
Series ID MHICIUBWI55075A052NCEN
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 25861
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29849
1994-01-01 .
1995-01-01 33927
1996-01-01 .
1997-01-01 36561
1998-01-01 37611
1999-01-01 37678
2000-01-01 39671
2001-01-01 38453
2002-01-01 39320
2003-01-01 40584
2004-01-01 42147
2005-01-01 42905
2006-01-01 39526
2007-01-01 46824
2008-01-01 45523
2009-01-01 41191
2010-01-01 39920
2011-01-01 42092
2012-01-01 46161
2013-01-01 44274
2014-01-01 46152
2015-01-01 51322
2016-01-01 47809
2017-01-01 50651
2018-01-01 53820
2019-01-01 59222
2020-01-01 61520
2021-01-01 61265
2022-01-01 64179

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