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 Essex County, VA Series ID: MHICILBVA51057A052NCEN 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 20948 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24723 1994-01-01 . 1995-01-01 26801 1996-01-01 . 1997-01-01 28292 1998-01-01 28996 1999-01-01 32160 2000-01-01 34426 2001-01-01 33779 2002-01-01 33939 2003-01-01 34970 2004-01-01 36414 2005-01-01 35185 2006-01-01 40063 2007-01-01 39876 2008-01-01 39610 2009-01-01 45778 2010-01-01 39078 2011-01-01 38336 2012-01-01 38140 2013-01-01 40092 2014-01-01 44607 2015-01-01 42710 2016-01-01 46223 2017-01-01 44719 2018-01-01 45281 2019-01-01 47328 2020-01-01 47532 2021-01-01 51889 2022-01-01 51166