Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ingham County, MI
Series ID MHICILBMI26065A052NCEN
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 2:33 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 26931
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32247
1994-01-01 .
1995-01-01 33908
1996-01-01 .
1997-01-01 37811
1998-01-01 38919
1999-01-01 38298
2000-01-01 39641
2001-01-01 38815
2002-01-01 38062
2003-01-01 38691
2004-01-01 39091
2005-01-01 40999
2006-01-01 41583
2007-01-01 43836
2008-01-01 43840
2009-01-01 40942
2010-01-01 41835
2011-01-01 40671
2012-01-01 41556
2013-01-01 42810
2014-01-01 44125
2015-01-01 45185
2016-01-01 47340
2017-01-01 48970
2018-01-01 50812
2019-01-01 52100
2020-01-01 60405
2021-01-01 54552
2022-01-01 57153
2023-01-01 60295

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