Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Avery County, NC Series ID: MHICILBNC37011A052NCEN 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 2019-01-01 Last Updated: 2020-12-10 6:51 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 17365 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21507 1994-01-01 . 1995-01-01 24088 1996-01-01 . 1997-01-01 25124 1998-01-01 26724 1999-01-01 28318 2000-01-01 29292 2001-01-01 28252 2002-01-01 27703 2003-01-01 28921 2004-01-01 29130 2005-01-01 30181 2006-01-01 30291 2007-01-01 32441 2008-01-01 33136 2009-01-01 30426 2010-01-01 32367 2011-01-01 32837 2012-01-01 31549 2013-01-01 31697 2014-01-01 33631 2015-01-01 33429 2016-01-01 34149 2017-01-01 36776 2018-01-01 37312 2019-01-01 42286