Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Oscoda County, MI
Series ID MHICIUBMI26135A052NCEN
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 19338
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22522
1994-01-01 .
1995-01-01 28578
1996-01-01 .
1997-01-01 28221
1998-01-01 29715
1999-01-01 29507
2000-01-01 30948
2001-01-01 28841
2002-01-01 29561
2003-01-01 30171
2004-01-01 32178
2005-01-01 33681
2006-01-01 35102
2007-01-01 33982
2008-01-01 36919
2009-01-01 34843
2010-01-01 33949
2011-01-01 33616
2012-01-01 36124
2013-01-01 33627
2014-01-01 37247
2015-01-01 39701
2016-01-01 39648
2017-01-01 42492
2018-01-01 42589
2019-01-01 48487
2020-01-01 49121
2021-01-01 46228
2022-01-01 52112

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