Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gogebic County, MI
Series ID MHICIUBMI26053A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 20882
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24400
1994-01-01 .
1995-01-01 28470
1996-01-01 .
1997-01-01 29144
1998-01-01 30288
1999-01-01 29487
2000-01-01 30821
2001-01-01 29526
2002-01-01 29885
2003-01-01 30182
2004-01-01 31581
2005-01-01 29857
2006-01-01 34001
2007-01-01 36757
2008-01-01 36483
2009-01-01 35033
2010-01-01 34747
2011-01-01 36098
2012-01-01 36884
2013-01-01 36622
2014-01-01 36591
2015-01-01 41425
2016-01-01 39702
2017-01-01 41846
2018-01-01 43297
2019-01-01 42470
2020-01-01 53564
2021-01-01 49445
2022-01-01 54557
2023-01-01 52397

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