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 Upper Bound of Estimate of Median Household Income for Eaton County, MI Series ID: MHICIUBMI26045A052NCEN 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 38056 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 42674 1994-01-01 . 1995-01-01 46255 1996-01-01 . 1997-01-01 49470 1998-01-01 51202 1999-01-01 52198 2000-01-01 54725 2001-01-01 53244 2002-01-01 54050 2003-01-01 54310 2004-01-01 54778 2005-01-01 52987 2006-01-01 56624 2007-01-01 54502 2008-01-01 60966 2009-01-01 55428 2010-01-01 54164 2011-01-01 53609 2012-01-01 57865 2013-01-01 56234 2014-01-01 59286 2015-01-01 59990 2016-01-01 61650 2017-01-01 67367 2018-01-01 69940 2019-01-01 69671 2020-01-01 72372 2021-01-01 75156 2022-01-01 74569