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 Carter County, MO Series ID: MHICIUBMO29035A052NCEN 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 16115 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19126 1994-01-01 . 1995-01-01 23717 1996-01-01 . 1997-01-01 23922 1998-01-01 24537 1999-01-01 24633 2000-01-01 25817 2001-01-01 25238 2002-01-01 25715 2003-01-01 27018 2004-01-01 28960 2005-01-01 28339 2006-01-01 29524 2007-01-01 29554 2008-01-01 29493 2009-01-01 30780 2010-01-01 31273 2011-01-01 30634 2012-01-01 31954 2013-01-01 32992 2014-01-01 35256 2015-01-01 35522 2016-01-01 36708 2017-01-01 37018 2018-01-01 37554 2019-01-01 40686 2020-01-01 44817 2021-01-01 44283 2022-01-01 48333