Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, MI
Series ID MHICIUBMI26025A052NCEN
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 1:52 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 29643
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33518
1994-01-01 .
1995-01-01 38994
1996-01-01 .
1997-01-01 40225
1998-01-01 40947
1999-01-01 40597
2000-01-01 43003
2001-01-01 41418
2002-01-01 41670
2003-01-01 41717
2004-01-01 42772
2005-01-01 42405
2006-01-01 45744
2007-01-01 43294
2008-01-01 43052
2009-01-01 40814
2010-01-01 44919
2011-01-01 41847
2012-01-01 43661
2013-01-01 47046
2014-01-01 48041
2015-01-01 46359
2016-01-01 49007
2017-01-01 48405
2018-01-01 51702
2019-01-01 53599
2020-01-01 56350
2021-01-01 59802
2022-01-01 62747

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