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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Charlevoix County, MI
Series ID MHICILBMI26029A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 22382
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27312
1994-01-01 .
1995-01-01 31290
1996-01-01 .
1997-01-01 33725
1998-01-01 35077
1999-01-01 36783
2000-01-01 38013
2001-01-01 37617
2002-01-01 38409
2003-01-01 39343
2004-01-01 40507
2005-01-01 42000
2006-01-01 43911
2007-01-01 45515
2008-01-01 44708
2009-01-01 39595
2010-01-01 39917
2011-01-01 41851
2012-01-01 41528
2013-01-01 42376
2014-01-01 44050
2015-01-01 44581
2016-01-01 49305
2017-01-01 48187
2018-01-01 50854
2019-01-01 54722
2020-01-01 60964
2021-01-01 59994
2022-01-01 66648
2023-01-01 75658

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