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 Franklin County, MO Series ID: MHICIUBMO29071A052NCEN 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 31329 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35197 1994-01-01 . 1995-01-01 40316 1996-01-01 . 1997-01-01 42584 1998-01-01 44269 1999-01-01 45283 2000-01-01 48287 2001-01-01 47204 2002-01-01 47538 2003-01-01 48404 2004-01-01 49343 2005-01-01 49282 2006-01-01 48454 2007-01-01 53731 2008-01-01 51400 2009-01-01 50931 2010-01-01 51378 2011-01-01 50849 2012-01-01 48016 2013-01-01 55468 2014-01-01 54944 2015-01-01 53698 2016-01-01 58771 2017-01-01 59463 2018-01-01 62710 2019-01-01 64934 2020-01-01 70251 2021-01-01 71644 2022-01-01 71281