Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Burnett County, WI
Series ID MHICIUBWI55013A052NCEN
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 21145
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25501
1994-01-01 .
1995-01-01 31361
1996-01-01 .
1997-01-01 32458
1998-01-01 34389
1999-01-01 35472
2000-01-01 37958
2001-01-01 37126
2002-01-01 38234
2003-01-01 39175
2004-01-01 40595
2005-01-01 41710
2006-01-01 42835
2007-01-01 42774
2008-01-01 44104
2009-01-01 41790
2010-01-01 40739
2011-01-01 42941
2012-01-01 39593
2013-01-01 43710
2014-01-01 44311
2015-01-01 48309
2016-01-01 50714
2017-01-01 50939
2018-01-01 58700
2019-01-01 54474
2020-01-01 63536
2021-01-01 60672
2022-01-01 62615

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