Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wexford County, MI
Series ID MHICIUBMI26165A052NCEN
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 1:52 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 26038
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29160
1994-01-01 .
1995-01-01 33502
1996-01-01 .
1997-01-01 34906
1998-01-01 35961
1999-01-01 36777
2000-01-01 38988
2001-01-01 37336
2002-01-01 37879
2003-01-01 38741
2004-01-01 40067
2005-01-01 39822
2006-01-01 41577
2007-01-01 42511
2008-01-01 44190
2009-01-01 41372
2010-01-01 38781
2011-01-01 46388
2012-01-01 38886
2013-01-01 42450
2014-01-01 42803
2015-01-01 46044
2016-01-01 43437
2017-01-01 48490
2018-01-01 49518
2019-01-01 56410
2020-01-01 61833
2021-01-01 58251
2022-01-01 60932

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