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, MO Series ID: MHICIUBMO29185A052NCEN 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 17577 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21278 1994-01-01 . 1995-01-01 23970 1996-01-01 . 1997-01-01 26365 1998-01-01 27155 1999-01-01 26757 2000-01-01 28264 2001-01-01 27151 2002-01-01 27335 2003-01-01 28288 2004-01-01 29205 2005-01-01 32468 2006-01-01 31771 2007-01-01 32940 2008-01-01 34129 2009-01-01 33489 2010-01-01 33930 2011-01-01 33015 2012-01-01 33586 2013-01-01 33152 2014-01-01 37287 2015-01-01 38483 2016-01-01 39139 2017-01-01 38879 2018-01-01 40836 2019-01-01 43562 2020-01-01 46388 2021-01-01 45664 2022-01-01 50643