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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gladwin County, MI
Series ID MHICIUBMI26051A052NCEN
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 22061
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24159
1994-01-01 .
1995-01-01 29620
1996-01-01 .
1997-01-01 31060
1998-01-01 33572
1999-01-01 33690
2000-01-01 35769
2001-01-01 34300
2002-01-01 34683
2003-01-01 35651
2004-01-01 36511
2005-01-01 37683
2006-01-01 38455
2007-01-01 37398
2008-01-01 40629
2009-01-01 39306
2010-01-01 38899
2011-01-01 37114
2012-01-01 39419
2013-01-01 37925
2014-01-01 42205
2015-01-01 42811
2016-01-01 43888
2017-01-01 43587
2018-01-01 47405
2019-01-01 49351
2020-01-01 53933
2021-01-01 53012
2022-01-01 59797

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