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 Nevada County, AR Series ID: MHICILBAR05099A052NCEN 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 1:55 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 15321 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 18740 1994-01-01 . 1995-01-01 20049 1996-01-01 . 1997-01-01 22454 1998-01-01 23486 1999-01-01 25193 2000-01-01 25863 2001-01-01 25028 2002-01-01 24881 2003-01-01 25350 2004-01-01 27532 2005-01-01 26066 2006-01-01 27923 2007-01-01 29101 2008-01-01 28229 2009-01-01 28127 2010-01-01 30041 2011-01-01 28430 2012-01-01 28922 2013-01-01 30021 2014-01-01 27716 2015-01-01 32566 2016-01-01 33931 2017-01-01 44546 2018-01-01 33977 2019-01-01 32068 2020-01-01 35562 2021-01-01 35753 2022-01-01 40228