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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kalamazoo County, MI
Series ID MHICIUBMI26077A052NCEN
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 34596
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38564
1994-01-01 .
1995-01-01 40672
1996-01-01 .
1997-01-01 44392
1998-01-01 46217
1999-01-01 44763
2000-01-01 46814
2001-01-01 44907
2002-01-01 43785
2003-01-01 44882
2004-01-01 46143
2005-01-01 46712
2006-01-01 46965
2007-01-01 45749
2008-01-01 48807
2009-01-01 44244
2010-01-01 45754
2011-01-01 47785
2012-01-01 47413
2013-01-01 48609
2014-01-01 48824
2015-01-01 54535
2016-01-01 55814
2017-01-01 59000
2018-01-01 58314
2019-01-01 58558
2020-01-01 68969
2021-01-01 65238
2022-01-01 73011

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