Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Knox County, MO Series ID: MHICILBMO29103A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 10:41 AM 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 13949 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17049 1994-01-01 . 1995-01-01 17018 1996-01-01 . 1997-01-01 19937 1998-01-01 19702 1999-01-01 23780 2000-01-01 25954 2001-01-01 25768 2002-01-01 25335 2003-01-01 27356 2004-01-01 27831 2005-01-01 27673 2006-01-01 27915 2007-01-01 32506 2008-01-01 28356 2009-01-01 27736 2010-01-01 30015 2011-01-01 30182 2012-01-01 30312 2013-01-01 31693 2014-01-01 33930 2015-01-01 36743 2016-01-01 32759 2017-01-01 33210 2018-01-01 35048 2019-01-01 37006 2020-01-01 37813 2021-01-01 40254