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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Waupaca County, WI
Series ID MHICIUBWI55135A052NCEN
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 1:51 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 27752
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33152
1994-01-01 .
1995-01-01 37833
1996-01-01 .
1997-01-01 39926
1998-01-01 42205
1999-01-01 43098
2000-01-01 45489
2001-01-01 44112
2002-01-01 44966
2003-01-01 45987
2004-01-01 47996
2005-01-01 47544
2006-01-01 46622
2007-01-01 49664
2008-01-01 49027
2009-01-01 51835
2010-01-01 49804
2011-01-01 51241
2012-01-01 54104
2013-01-01 51563
2014-01-01 55597
2015-01-01 58628
2016-01-01 54124
2017-01-01 61775
2018-01-01 61341
2019-01-01 65235
2020-01-01 71053
2021-01-01 66525
2022-01-01 71015

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