Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Saginaw County, MI
Series ID MHICILBMI26145A052NCEN
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 1:11 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 25577
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28625
1994-01-01 .
1995-01-01 30690
1996-01-01 .
1997-01-01 33402
1998-01-01 34396
1999-01-01 35107
2000-01-01 36887
2001-01-01 35684
2002-01-01 34954
2003-01-01 35678
2004-01-01 35888
2005-01-01 38402
2006-01-01 37129
2007-01-01 40879
2008-01-01 39870
2009-01-01 37859
2010-01-01 40328
2011-01-01 38803
2012-01-01 38704
2013-01-01 39780
2014-01-01 42964
2015-01-01 41448
2016-01-01 44088
2017-01-01 43352
2018-01-01 46930
2019-01-01 46379
2020-01-01 49208
2021-01-01 48315
2022-01-01 51561

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