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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, WI
Series ID MHICILBWI55055A052NCEN
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 1:53 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 26979
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33293
1994-01-01 .
1995-01-01 36743
1996-01-01 .
1997-01-01 39508
1998-01-01 41334
1999-01-01 42671
2000-01-01 44488
2001-01-01 44301
2002-01-01 45050
2003-01-01 46110
2004-01-01 47167
2005-01-01 46200
2006-01-01 49438
2007-01-01 51623
2008-01-01 53575
2009-01-01 50360
2010-01-01 47798
2011-01-01 50365
2012-01-01 51121
2013-01-01 49599
2014-01-01 52735
2015-01-01 58136
2016-01-01 55344
2017-01-01 54862
2018-01-01 62101
2019-01-01 66314
2020-01-01 64150
2021-01-01 65551
2022-01-01 74305

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