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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rock County, WI
Series ID MHICIUBWI55105A052NCEN
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 31955
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36789
1994-01-01 .
1995-01-01 42366
1996-01-01 .
1997-01-01 44866
1998-01-01 46165
1999-01-01 46876
2000-01-01 49586
2001-01-01 48135
2002-01-01 48145
2003-01-01 48786
2004-01-01 48598
2005-01-01 49404
2006-01-01 49320
2007-01-01 51517
2008-01-01 53385
2009-01-01 52429
2010-01-01 49298
2011-01-01 50104
2012-01-01 49231
2013-01-01 52787
2014-01-01 54084
2015-01-01 57095
2016-01-01 53944
2017-01-01 58735
2018-01-01 60538
2019-01-01 64662
2020-01-01 70038
2021-01-01 69510
2022-01-01 71142

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