Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, MO Series ID: MHICIUBMO29223A052NCEN 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 1:11 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 15311 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17832 1994-01-01 . 1995-01-01 21330 1996-01-01 . 1997-01-01 21955 1998-01-01 22968 1999-01-01 24367 2000-01-01 25802 2001-01-01 24707 2002-01-01 24937 2003-01-01 25662 2004-01-01 27153 2005-01-01 28372 2006-01-01 31306 2007-01-01 30487 2008-01-01 29967 2009-01-01 30378 2010-01-01 31272 2011-01-01 30757 2012-01-01 32835 2013-01-01 33657 2014-01-01 33371 2015-01-01 35193 2016-01-01 33550 2017-01-01 36729 2018-01-01 36646 2019-01-01 39299 2020-01-01 47072 2021-01-01 45673 2022-01-01 46632