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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, WI
Series ID MHICIUBWI55023A052NCEN
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 22512
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26879
1994-01-01 .
1995-01-01 30232
1996-01-01 .
1997-01-01 32932
1998-01-01 34096
1999-01-01 35334
2000-01-01 37968
2001-01-01 36776
2002-01-01 37027
2003-01-01 37217
2004-01-01 38546
2005-01-01 42276
2006-01-01 42005
2007-01-01 43648
2008-01-01 44893
2009-01-01 38479
2010-01-01 40600
2011-01-01 44763
2012-01-01 44878
2013-01-01 45317
2014-01-01 47080
2015-01-01 48394
2016-01-01 50041
2017-01-01 51200
2018-01-01 52281
2019-01-01 56919
2020-01-01 60412
2021-01-01 61934
2022-01-01 68548

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