Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calumet County, WI
Series ID MHICIUBWI55015A052NCEN
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 35677
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43143
1994-01-01 .
1995-01-01 48974
1996-01-01 .
1997-01-01 51925
1998-01-01 54414
1999-01-01 56228
2000-01-01 58797
2001-01-01 59548
2002-01-01 61589
2003-01-01 64538
2004-01-01 64375
2005-01-01 63423
2006-01-01 62520
2007-01-01 64663
2008-01-01 66859
2009-01-01 70084
2010-01-01 65752
2011-01-01 71044
2012-01-01 74005
2013-01-01 70498
2014-01-01 72972
2015-01-01 74779
2016-01-01 76582
2017-01-01 78166
2018-01-01 77086
2019-01-01 85031
2020-01-01 82386
2021-01-01 82396
2022-01-01 93721

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