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 Essex County, NJ Series ID: MHICIUBNJ34013A052NCEN 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 31999 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 36018 1994-01-01 . 1995-01-01 38668 1996-01-01 . 1997-01-01 42349 1998-01-01 43133 1999-01-01 43326 2000-01-01 44728 2001-01-01 44251 2002-01-01 44587 2003-01-01 45331 2004-01-01 47076 2005-01-01 51273 2006-01-01 52877 2007-01-01 54928 2008-01-01 57245 2009-01-01 55571 2010-01-01 53474 2011-01-01 52392 2012-01-01 52456 2013-01-01 55582 2014-01-01 56365 2015-01-01 53591 2016-01-01 57807 2017-01-01 62292 2018-01-01 65815 2019-01-01 67051 2020-01-01 68730 2021-01-01 69225 2022-01-01 77527