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 2021-01-01 Last Updated: 2022-12-21 9:57 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). 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