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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jefferson County, WI
Series ID MHICIUBWI55055A052NCEN
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 31487
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37802
1994-01-01 .
1995-01-01 42814
1996-01-01 .
1997-01-01 45609
1998-01-01 47375
1999-01-01 48528
2000-01-01 51497
2001-01-01 50637
2002-01-01 51519
2003-01-01 52107
2004-01-01 53254
2005-01-01 53346
2006-01-01 52780
2007-01-01 57831
2008-01-01 57954
2009-01-01 56161
2010-01-01 54128
2011-01-01 57055
2012-01-01 57161
2013-01-01 55199
2014-01-01 59995
2015-01-01 65108
2016-01-01 66144
2017-01-01 62656
2018-01-01 69561
2019-01-01 75882
2020-01-01 79394
2021-01-01 72943
2022-01-01 83151

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