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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Buffalo County, WI
Series ID MHICILBWI55011A052NCEN
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.
DATE VALUE
1989-01-01 20841
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25336
1994-01-01 .
1995-01-01 27004
1996-01-01 .
1997-01-01 29558
1998-01-01 32319
1999-01-01 34732
2000-01-01 36334
2001-01-01 36608
2002-01-01 37061
2003-01-01 38046
2004-01-01 39524
2005-01-01 39536
2006-01-01 41822
2007-01-01 41247
2008-01-01 44135
2009-01-01 40828
2010-01-01 41031
2011-01-01 41512
2012-01-01 44306
2013-01-01 44521
2014-01-01 48230
2015-01-01 50773
2016-01-01 49353
2017-01-01 51939
2018-01-01 55466
2019-01-01 54174
2020-01-01 50092
2021-01-01 56392
2022-01-01 58695

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