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 Stone County, AR Series ID: MHICIUBAR05137A052NCEN 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 1:53 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 15571 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20265 1994-01-01 . 1995-01-01 23966 1996-01-01 . 1997-01-01 24963 1998-01-01 26203 1999-01-01 24473 2000-01-01 25608 2001-01-01 24536 2002-01-01 24281 2003-01-01 25225 2004-01-01 26374 2005-01-01 27291 2006-01-01 27954 2007-01-01 29908 2008-01-01 31475 2009-01-01 30744 2010-01-01 31762 2011-01-01 31860 2012-01-01 31156 2013-01-01 30172 2014-01-01 32648 2015-01-01 34779 2016-01-01 35272 2017-01-01 36263 2018-01-01 37722 2019-01-01 40961 2020-01-01 40314 2021-01-01 42462 2022-01-01 45918