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 Maries County, MO Series ID: MHICILBMO29125A052NCEN 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 17596 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20231 1994-01-01 . 1995-01-01 21396 1996-01-01 . 1997-01-01 23907 1998-01-01 25213 1999-01-01 28424 2000-01-01 29446 2001-01-01 29221 2002-01-01 29383 2003-01-01 30835 2004-01-01 31230 2005-01-01 31843 2006-01-01 31056 2007-01-01 33027 2008-01-01 34722 2009-01-01 34786 2010-01-01 35354 2011-01-01 34696 2012-01-01 38017 2013-01-01 36369 2014-01-01 36244 2015-01-01 39626 2016-01-01 38631 2017-01-01 40298 2018-01-01 41701 2019-01-01 44504 2020-01-01 40630 2021-01-01 46471 2022-01-01 48159