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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marquette County, MI
Series ID MHICILBMI26103A052NCEN
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 12:51 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 23947
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28311
1994-01-01 .
1995-01-01 30293
1996-01-01 .
1997-01-01 32377
1998-01-01 34036
1999-01-01 33478
2000-01-01 34343
2001-01-01 33451
2002-01-01 33716
2003-01-01 34842
2004-01-01 36128
2005-01-01 36449
2006-01-01 38418
2007-01-01 42694
2008-01-01 40967
2009-01-01 39486
2010-01-01 42111
2011-01-01 39515
2012-01-01 41651
2013-01-01 42078
2014-01-01 42147
2015-01-01 45257
2016-01-01 48072
2017-01-01 46614
2018-01-01 51314
2019-01-01 50608
2020-01-01 47628
2021-01-01 51784
2022-01-01 57821

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