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 Dare County, NC Series ID: MHICIUBNC37055A052NCEN 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 28269 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32994 1994-01-01 . 1995-01-01 36646 1996-01-01 . 1997-01-01 38352 1998-01-01 39498 1999-01-01 41947 2000-01-01 45692 2001-01-01 44784 2002-01-01 45926 2003-01-01 47311 2004-01-01 49182 2005-01-01 51933 2006-01-01 53806 2007-01-01 56088 2008-01-01 59574 2009-01-01 54068 2010-01-01 54404 2011-01-01 54236 2012-01-01 55304 2013-01-01 56384 2014-01-01 57602 2015-01-01 58539 2016-01-01 61351 2017-01-01 61588 2018-01-01 68139 2019-01-01 69064 2020-01-01 80350 2021-01-01 73863 2022-01-01 89045