Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Racine County, WI
Series ID MHICIUBWI55101A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 33847
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38518
1994-01-01 .
1995-01-01 44103
1996-01-01 .
1997-01-01 47523
1998-01-01 48749
1999-01-01 48983
2000-01-01 51762
2001-01-01 51181
2002-01-01 51619
2003-01-01 52094
2004-01-01 53645
2005-01-01 52823
2006-01-01 53625
2007-01-01 54674
2008-01-01 57586
2009-01-01 53975
2010-01-01 53846
2011-01-01 55547
2012-01-01 53815
2013-01-01 57077
2014-01-01 56980
2015-01-01 59879
2016-01-01 58558
2017-01-01 64217
2018-01-01 63070
2019-01-01 64870
2020-01-01 70471
2021-01-01 72314
2022-01-01 75979
2023-01-01 78483

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