NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. 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 2022-01-01 Last Updated: 2023-12-14 1:11 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 (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 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