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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ontonagon County, MI
Series ID MHICILBMI26131A052NCEN
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 20104
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22819
1994-01-01 .
1995-01-01 24741
1996-01-01 .
1997-01-01 24661
1998-01-01 25480
1999-01-01 27321
2000-01-01 28446
2001-01-01 27779
2002-01-01 28104
2003-01-01 29330
2004-01-01 30443
2005-01-01 32096
2006-01-01 31571
2007-01-01 30962
2008-01-01 31006
2009-01-01 29527
2010-01-01 33586
2011-01-01 31663
2012-01-01 31381
2013-01-01 30247
2014-01-01 32633
2015-01-01 33886
2016-01-01 32954
2017-01-01 33383
2018-01-01 37818
2019-01-01 42929
2020-01-01 37036
2021-01-01 41402
2022-01-01 42617

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