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 Warren County, MO Series ID: MHICILBMO29219A052NCEN 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 1:12 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 25652 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30508 1994-01-01 . 1995-01-01 33310 1996-01-01 . 1997-01-01 35757 1998-01-01 36682 1999-01-01 37912 2000-01-01 39472 2001-01-01 39326 2002-01-01 40505 2003-01-01 41840 2004-01-01 44028 2005-01-01 42630 2006-01-01 45654 2007-01-01 46372 2008-01-01 42529 2009-01-01 45650 2010-01-01 44784 2011-01-01 46318 2012-01-01 44981 2013-01-01 47483 2014-01-01 47679 2015-01-01 46722 2016-01-01 49274 2017-01-01 53920 2018-01-01 57418 2019-01-01 59555 2020-01-01 60691 2021-01-01 63534 2022-01-01 66869