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 Stone County, AR Series ID: MHICILBAR05137A052NCEN 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 10794 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 15699 1994-01-01 . 1995-01-01 17759 1996-01-01 . 1997-01-01 18713 1998-01-01 20050 1999-01-01 21366 2000-01-01 21949 2001-01-01 21304 2002-01-01 21077 2003-01-01 22167 2004-01-01 23190 2005-01-01 22918 2006-01-01 23420 2007-01-01 24666 2008-01-01 25972 2009-01-01 25176 2010-01-01 26602 2011-01-01 26504 2012-01-01 25728 2013-01-01 24872 2014-01-01 27372 2015-01-01 29267 2016-01-01 28638 2017-01-01 29293 2018-01-01 30296 2019-01-01 32899 2020-01-01 31982 2021-01-01 33102 2022-01-01 36208