Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, MI
Series ID MHICIUBMI26163A052NCEN
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 1:11 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 28917
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31491
1994-01-01 .
1995-01-01 34122
1996-01-01 .
1997-01-01 37343
1998-01-01 39558
1999-01-01 40439
2000-01-01 42635
2001-01-01 40019
2002-01-01 39682
2003-01-01 39733
2004-01-01 40677
2005-01-01 41704
2006-01-01 42589
2007-01-01 43404
2008-01-01 43258
2009-01-01 38924
2010-01-01 40262
2011-01-01 39208
2012-01-01 40386
2013-01-01 41194
2014-01-01 42098
2015-01-01 42203
2016-01-01 44727
2017-01-01 46111
2018-01-01 47325
2019-01-01 51491
2020-01-01 53684
2021-01-01 54028
2022-01-01 57224

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