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 Desha County, AR Series ID: MHICIUBAR05041A052NCEN 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 19159 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21615 1994-01-01 . 1995-01-01 24134 1996-01-01 . 1997-01-01 26567 1998-01-01 28192 1999-01-01 26338 2000-01-01 27476 2001-01-01 26169 2002-01-01 25714 2003-01-01 27548 2004-01-01 27189 2005-01-01 27858 2006-01-01 29333 2007-01-01 30673 2008-01-01 29931 2009-01-01 31617 2010-01-01 32435 2011-01-01 33123 2012-01-01 33169 2013-01-01 33140 2014-01-01 36430 2015-01-01 33948 2016-01-01 35737 2017-01-01 36848 2018-01-01 39270 2019-01-01 41436 2020-01-01 43001 2021-01-01 43845 2022-01-01 46477