Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Michigan

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Michigan
Series ID MHICILBMI26000A052NCEN
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 1:54 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 30044
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31480
1994-01-01 .
1995-01-01 34612
1996-01-01 36635
1997-01-01 37469
1998-01-01 40395
1999-01-01 42772
2000-01-01 43543
2001-01-01 44327
2002-01-01 42693
2003-01-01 44905
2004-01-01 42895
2005-01-01 45639
2006-01-01 46875
2007-01-01 47552
2008-01-01 48190
2009-01-01 44903
2010-01-01 45052
2011-01-01 45603
2012-01-01 46465
2013-01-01 47825
2014-01-01 49373
2015-01-01 50820
2016-01-01 52038
2017-01-01 54405
2018-01-01 56237
2019-01-01 58955
2020-01-01 60407
2021-01-01 62920
2022-01-01 66259

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