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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mecosta County, MI
Series ID MHICILBMI26107A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 20533
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23370
1994-01-01 .
1995-01-01 25861
1996-01-01 .
1997-01-01 27998
1998-01-01 29778
1999-01-01 31096
2000-01-01 31962
2001-01-01 31252
2002-01-01 31437
2003-01-01 32713
2004-01-01 33639
2005-01-01 33595
2006-01-01 33534
2007-01-01 35236
2008-01-01 34667
2009-01-01 34747
2010-01-01 33743
2011-01-01 36030
2012-01-01 36571
2013-01-01 36556
2014-01-01 38613
2015-01-01 39109
2016-01-01 38343
2017-01-01 42040
2018-01-01 41931
2019-01-01 43181
2020-01-01 46580
2021-01-01 46670
2022-01-01 51825
2023-01-01 55737
2024-01-01 56266

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