Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Green County, WI
Series ID MHICIUBWI55045A052NCEN
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 28900
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35017
1994-01-01 .
1995-01-01 38388
1996-01-01 .
1997-01-01 41936
1998-01-01 44783
1999-01-01 45514
2000-01-01 48195
2001-01-01 47444
2002-01-01 47868
2003-01-01 48741
2004-01-01 50660
2005-01-01 50467
2006-01-01 53469
2007-01-01 53637
2008-01-01 58572
2009-01-01 54039
2010-01-01 54076
2011-01-01 56044
2012-01-01 57974
2013-01-01 59852
2014-01-01 57010
2015-01-01 63118
2016-01-01 65022
2017-01-01 66978
2018-01-01 67593
2019-01-01 67930
2020-01-01 80860
2021-01-01 77519
2022-01-01 81832

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