Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gogebic County, MI
Series ID MHICILBMI26053A052NCEN
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 2:33 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 16239
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19676
1994-01-01 .
1995-01-01 22235
1996-01-01 .
1997-01-01 22846
1998-01-01 24067
1999-01-01 25805
2000-01-01 26422
2001-01-01 25610
2002-01-01 25915
2003-01-01 26506
2004-01-01 27759
2005-01-01 25812
2006-01-01 29205
2007-01-01 30728
2008-01-01 30483
2009-01-01 29308
2010-01-01 29249
2011-01-01 30666
2012-01-01 32004
2013-01-01 30736
2014-01-01 30609
2015-01-01 35407
2016-01-01 33156
2017-01-01 34840
2018-01-01 36571
2019-01-01 35590
2020-01-01 44386
2021-01-01 39905
2022-01-01 45727
2023-01-01 43689

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