Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ontonagon County, MI
Series ID MHICIUBMI26131A052NCEN
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 24682
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27432
1994-01-01 .
1995-01-01 30954
1996-01-01 .
1997-01-01 30943
1998-01-01 31687
1999-01-01 31205
2000-01-01 33093
2001-01-01 31964
2002-01-01 32367
2003-01-01 33387
2004-01-01 34616
2005-01-01 37697
2006-01-01 37209
2007-01-01 37478
2008-01-01 36847
2009-01-01 34999
2010-01-01 39546
2011-01-01 37041
2012-01-01 37621
2013-01-01 35985
2014-01-01 38141
2015-01-01 41130
2016-01-01 38834
2017-01-01 41033
2018-01-01 43778
2019-01-01 48133
2020-01-01 49582
2021-01-01 52246
2022-01-01 48771

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