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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rusk County, WI
Series ID MHICILBWI55107A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:06 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 17585
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20850
1994-01-01 .
1995-01-01 22620
1996-01-01 .
1997-01-01 24672
1998-01-01 27200
1999-01-01 29247
2000-01-01 30230
2001-01-01 29767
2002-01-01 30171
2003-01-01 31135
2004-01-01 32342
2005-01-01 32564
2006-01-01 32608
2007-01-01 34008
2008-01-01 34664
2009-01-01 33003
2010-01-01 32603
2011-01-01 34063
2012-01-01 34430
2013-01-01 35292
2014-01-01 38237
2015-01-01 39032
2016-01-01 39883
2017-01-01 41622
2018-01-01 44835
2019-01-01 46034
2020-01-01 47430
2021-01-01 47560
2022-01-01 51945
2023-01-01 53941
2024-01-01 56673

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