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 Haywood County, NC Series ID: MHICILBNC37087A052NCEN 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 1:11 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 20818 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24143 1994-01-01 . 1995-01-01 25376 1996-01-01 . 1997-01-01 27924 1998-01-01 29151 1999-01-01 30892 2000-01-01 32120 2001-01-01 31411 2002-01-01 31578 2003-01-01 32640 2004-01-01 34000 2005-01-01 34005 2006-01-01 34385 2007-01-01 36689 2008-01-01 36643 2009-01-01 37252 2010-01-01 36483 2011-01-01 37478 2012-01-01 36713 2013-01-01 36008 2014-01-01 39260 2015-01-01 39745 2016-01-01 41657 2017-01-01 44015 2018-01-01 43120 2019-01-01 46292 2020-01-01 46715 2021-01-01 46526 2022-01-01 56451