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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Saginaw County, MI
Series ID MHICIUBMI26145A052NCEN
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 29801
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32842
1994-01-01 .
1995-01-01 36276
1996-01-01 .
1997-01-01 39220
1998-01-01 40183
1999-01-01 39790
2000-01-01 42546
2001-01-01 40842
2002-01-01 40047
2003-01-01 40376
2004-01-01 40681
2005-01-01 41601
2006-01-01 41723
2007-01-01 44876
2008-01-01 43742
2009-01-01 40869
2010-01-01 43100
2011-01-01 42019
2012-01-01 42138
2013-01-01 43240
2014-01-01 46132
2015-01-01 45240
2016-01-01 47390
2017-01-01 47514
2018-01-01 50680
2019-01-01 50563
2020-01-01 54578
2021-01-01 53669
2022-01-01 56567
2023-01-01 62118
2024-01-01 64969

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