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 Ste. Genevieve County, MO Series ID: MHICIUBMO29186A052NCEN 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 29454 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33777 1994-01-01 . 1995-01-01 37380 1996-01-01 . 1997-01-01 40241 1998-01-01 41539 1999-01-01 41712 2000-01-01 43812 2001-01-01 42753 2002-01-01 43673 2003-01-01 45167 2004-01-01 45773 2005-01-01 53071 2006-01-01 50002 2007-01-01 51587 2008-01-01 55219 2009-01-01 50576 2010-01-01 52380 2011-01-01 52895 2012-01-01 53210 2013-01-01 52711 2014-01-01 50873 2015-01-01 58020 2016-01-01 62113 2017-01-01 64370 2018-01-01 65203 2019-01-01 68944 2020-01-01 65161 2021-01-01 70189 2022-01-01 71168