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 Prairie County, AR Series ID: MHICIUBAR05117A052NCEN 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 21304 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24000 1994-01-01 . 1995-01-01 27406 1996-01-01 . 1997-01-01 29185 1998-01-01 31344 1999-01-01 31474 2000-01-01 32987 2001-01-01 31900 2002-01-01 31086 2003-01-01 32905 2004-01-01 33326 2005-01-01 35309 2006-01-01 34135 2007-01-01 38379 2008-01-01 37608 2009-01-01 38513 2010-01-01 40181 2011-01-01 39505 2012-01-01 39597 2013-01-01 42767 2014-01-01 43536 2015-01-01 43407 2016-01-01 44500 2017-01-01 47319 2018-01-01 47920 2019-01-01 50460 2020-01-01 55201 2021-01-01 64384 2022-01-01 57436