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 Gloucester County, NJ Series ID: MHICILBNJ34015A052NCEN 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 33732 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 40945 1994-01-01 . 1995-01-01 44041 1996-01-01 . 1997-01-01 46372 1998-01-01 47990 1999-01-01 48537 2000-01-01 50723 2001-01-01 50200 2002-01-01 51842 2003-01-01 53724 2004-01-01 55951 2005-01-01 60482 2006-01-01 62957 2007-01-01 67390 2008-01-01 67065 2009-01-01 67007 2010-01-01 67669 2011-01-01 66693 2012-01-01 69467 2013-01-01 68505 2014-01-01 76838 2015-01-01 73587 2016-01-01 76252 2017-01-01 80460 2018-01-01 77033 2019-01-01 83050 2020-01-01 80362 2021-01-01 90395 2022-01-01 94371