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 Clinton County, MI Series ID: MHICIUBMI26037A052NCEN 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 1:52 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 37798 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 44527 1994-01-01 . 1995-01-01 50375 1996-01-01 . 1997-01-01 53587 1998-01-01 54699 1999-01-01 56054 2000-01-01 59388 2001-01-01 59055 2002-01-01 60131 2003-01-01 59039 2004-01-01 60412 2005-01-01 61634 2006-01-01 59200 2007-01-01 64220 2008-01-01 55931 2009-01-01 61371 2010-01-01 61415 2011-01-01 61129 2012-01-01 62403 2013-01-01 66280 2014-01-01 64653 2015-01-01 68947 2016-01-01 69465 2017-01-01 71027 2018-01-01 75519 2019-01-01 78538 2020-01-01 83431 2021-01-01 82123 2022-01-01 84965