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 Nevada County, AR Series ID: MHICIUBAR05099A052NCEN 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 19773 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23258 1994-01-01 . 1995-01-01 26231 1996-01-01 . 1997-01-01 28652 1998-01-01 29614 1999-01-01 28711 2000-01-01 30054 2001-01-01 28725 2002-01-01 28582 2003-01-01 28818 2004-01-01 31252 2005-01-01 31122 2006-01-01 33369 2007-01-01 35511 2008-01-01 34635 2009-01-01 34594 2010-01-01 35751 2011-01-01 34750 2012-01-01 35292 2013-01-01 36661 2014-01-01 34154 2015-01-01 39262 2016-01-01 41293 2017-01-01 48828 2018-01-01 41275 2019-01-01 40988 2020-01-01 48146 2021-01-01 44813 2022-01-01 49070