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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buffalo County, WI
Series ID MHICIUBWI55011A052NCEN
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 25333
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29836
1994-01-01 .
1995-01-01 33181
1996-01-01 .
1997-01-01 35754
1998-01-01 38429
1999-01-01 39678
2000-01-01 42336
2001-01-01 42129
2002-01-01 42668
2003-01-01 43294
2004-01-01 44898
2005-01-01 45052
2006-01-01 48651
2007-01-01 45648
2008-01-01 50261
2009-01-01 46325
2010-01-01 47145
2011-01-01 47338
2012-01-01 51712
2013-01-01 52315
2014-01-01 53766
2015-01-01 57011
2016-01-01 56417
2017-01-01 58655
2018-01-01 62708
2019-01-01 62640
2020-01-01 63194
2021-01-01 66372
2022-01-01 69243

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