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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kenosha County, WI
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 1:11 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.
1989-01-01 26895
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32737
1994-01-01 .
1995-01-01 36328
1996-01-01 .
1997-01-01 39439
1998-01-01 42004
1999-01-01 42808
2000-01-01 44468
2001-01-01 44100
2002-01-01 44888
2003-01-01 45973
2004-01-01 47076
2005-01-01 50378
2006-01-01 49883
2007-01-01 51049
2008-01-01 51520
2009-01-01 50070
2010-01-01 49418
2011-01-01 49057
2012-01-01 51830
2013-01-01 49270
2014-01-01 50346
2015-01-01 53489
2016-01-01 56576
2017-01-01 57981
2018-01-01 61221
2019-01-01 62156
2020-01-01 64888
2021-01-01 68696
2022-01-01 70822

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