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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wexford County, MI
Series ID MHICILBMI26165A052NCEN
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 1:54 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 21632
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24742
1994-01-01 .
1995-01-01 27363
1996-01-01 .
1997-01-01 28759
1998-01-01 29884
1999-01-01 32293
2000-01-01 33560
2001-01-01 32511
2002-01-01 32967
2003-01-01 34109
2004-01-01 35273
2005-01-01 34208
2006-01-01 36591
2007-01-01 37685
2008-01-01 38338
2009-01-01 35802
2010-01-01 33851
2011-01-01 41358
2012-01-01 34142
2013-01-01 36682
2014-01-01 36811
2015-01-01 39800
2016-01-01 37533
2017-01-01 43654
2018-01-01 43274
2019-01-01 49882
2020-01-01 51267
2021-01-01 49171
2022-01-01 51826

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