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 St. Clair County, MI Series ID: MHICIUBMI26147A052NCEN 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 31919 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 36170 1994-01-01 . 1995-01-01 42306 1996-01-01 . 1997-01-01 45569 1998-01-01 47046 1999-01-01 48392 2000-01-01 50823 2001-01-01 49816 2002-01-01 50235 2003-01-01 50504 2004-01-01 51121 2005-01-01 52279 2006-01-01 52120 2007-01-01 50981 2008-01-01 52884 2009-01-01 48390 2010-01-01 46633 2011-01-01 48021 2012-01-01 46776 2013-01-01 52082 2014-01-01 52306 2015-01-01 52651 2016-01-01 54520 2017-01-01 59732 2018-01-01 59280 2019-01-01 64179 2020-01-01 62678 2021-01-01 64504 2022-01-01 69164