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 Lower Bound of Estimate of Median Household Income for Ste. Genevieve County, MO Series ID: MHICILBMO29186A052NCEN 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 1:54 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 24887 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29253 1994-01-01 . 1995-01-01 31232 1996-01-01 . 1997-01-01 34082 1998-01-01 35445 1999-01-01 36615 2000-01-01 37725 2001-01-01 37271 2002-01-01 38013 2003-01-01 39759 2004-01-01 40303 2005-01-01 48194 2006-01-01 42494 2007-01-01 43199 2008-01-01 45865 2009-01-01 47349 2010-01-01 43682 2011-01-01 43539 2012-01-01 44744 2013-01-01 43821 2014-01-01 42875 2015-01-01 47592 2016-01-01 53289 2017-01-01 53224 2018-01-01 52883 2019-01-01 54380 2020-01-01 52075 2021-01-01 57269 2022-01-01 56404