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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, MI
Series ID MHICIUBMI26075A052NCEN
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 7:05 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 29610
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35113
1994-01-01 .
1995-01-01 38767
1996-01-01 .
1997-01-01 41131
1998-01-01 42646
1999-01-01 43664
2000-01-01 46946
2001-01-01 45573
2002-01-01 45030
2003-01-01 45270
2004-01-01 46268
2005-01-01 48720
2006-01-01 46630
2007-01-01 46704
2008-01-01 50096
2009-01-01 48239
2010-01-01 45962
2011-01-01 44417
2012-01-01 46490
2013-01-01 48056
2014-01-01 50047
2015-01-01 53162
2016-01-01 54039
2017-01-01 53322
2018-01-01 55075
2019-01-01 59749
2020-01-01 62877
2021-01-01 61523
2022-01-01 66282
2023-01-01 67697
2024-01-01 71781

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