Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Oakland County, MI
Series ID MHICIUBMI26125A052NCEN
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 1:52 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 43703
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 50066
1994-01-01 .
1995-01-01 57397
1996-01-01 .
1997-01-01 62023
1998-01-01 64922
1999-01-01 65888
2000-01-01 68413
2001-01-01 67341
2002-01-01 68143
2003-01-01 67154
2004-01-01 67852
2005-01-01 66113
2006-01-01 67875
2007-01-01 67870
2008-01-01 69009
2009-01-01 64262
2010-01-01 61416
2011-01-01 62933
2012-01-01 64924
2013-01-01 68819
2014-01-01 70922
2015-01-01 71633
2016-01-01 73458
2017-01-01 78882
2018-01-01 81978
2019-01-01 82385
2020-01-01 86014
2021-01-01 88284
2022-01-01 93005

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