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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Adams County, WI
Series ID MHICIUBWI55001A052NCEN
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 23014
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26972
1994-01-01 .
1995-01-01 31462
1996-01-01 .
1997-01-01 33395
1998-01-01 34706
1999-01-01 34765
2000-01-01 36485
2001-01-01 35388
2002-01-01 36308
2003-01-01 37368
2004-01-01 38001
2005-01-01 40091
2006-01-01 39820
2007-01-01 41336
2008-01-01 40548
2009-01-01 41593
2010-01-01 44886
2011-01-01 43594
2012-01-01 45337
2013-01-01 46438
2014-01-01 44848
2015-01-01 45998
2016-01-01 45646
2017-01-01 48824
2018-01-01 46234
2019-01-01 57890
2020-01-01 57094
2021-01-01 58242
2022-01-01 59666

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