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 Clare County, MI Series ID: MHICIUBMI26035A052NCEN 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 19915 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22260 1994-01-01 . 1995-01-01 26774 1996-01-01 . 1997-01-01 28371 1998-01-01 29928 1999-01-01 30292 2000-01-01 32129 2001-01-01 31027 2002-01-01 31236 2003-01-01 32060 2004-01-01 33319 2005-01-01 36197 2006-01-01 34224 2007-01-01 35772 2008-01-01 37352 2009-01-01 35282 2010-01-01 34461 2011-01-01 33496 2012-01-01 34272 2013-01-01 36356 2014-01-01 37062 2015-01-01 35773 2016-01-01 40808 2017-01-01 39707 2018-01-01 42545 2019-01-01 45073 2020-01-01 49558 2021-01-01 49117 2022-01-01 52088