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 Ashe County, NC Series ID: MHICIUBNC37009A052NCEN 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 1:51 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 21205 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25103 1994-01-01 . 1995-01-01 28631 1996-01-01 . 1997-01-01 30056 1998-01-01 31462 1999-01-01 30619 2000-01-01 32345 2001-01-01 31341 2002-01-01 31696 2003-01-01 32294 2004-01-01 33318 2005-01-01 33978 2006-01-01 34220 2007-01-01 38101 2008-01-01 38820 2009-01-01 37516 2010-01-01 34370 2011-01-01 37083 2012-01-01 37075 2013-01-01 38235 2014-01-01 39897 2015-01-01 38363 2016-01-01 43265 2017-01-01 44248 2018-01-01 46021 2019-01-01 45187 2020-01-01 49345 2021-01-01 50185 2022-01-01 59972