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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, MI
Series ID MHICILBMI26163A052NCEN
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 26184
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28622
1994-01-01 .
1995-01-01 30633
1996-01-01 .
1997-01-01 33361
1998-01-01 35480
1999-01-01 36634
2000-01-01 38449
2001-01-01 36172
2002-01-01 35848
2003-01-01 36158
2004-01-01 36901
2005-01-01 40179
2006-01-01 41102
2007-01-01 41655
2008-01-01 41668
2009-01-01 37589
2010-01-01 38580
2011-01-01 37750
2012-01-01 38536
2013-01-01 39776
2014-01-01 40770
2015-01-01 40967
2016-01-01 42413
2017-01-01 44253
2018-01-01 45555
2019-01-01 50015
2020-01-01 49870
2021-01-01 51260
2022-01-01 54632

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