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 Camden County, NJ Series ID: MHICILBNJ34007A052NCEN 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 32415 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35717 1994-01-01 . 1995-01-01 36844 1996-01-01 . 1997-01-01 38775 1998-01-01 39836 1999-01-01 41028 2000-01-01 43990 2001-01-01 43729 2002-01-01 44329 2003-01-01 44908 2004-01-01 46000 2005-01-01 51138 2006-01-01 55212 2007-01-01 55928 2008-01-01 59080 2009-01-01 58628 2010-01-01 54856 2011-01-01 54821 2012-01-01 56242 2013-01-01 54815 2014-01-01 59433 2015-01-01 60570 2016-01-01 63711 2017-01-01 63326 2018-01-01 64499 2019-01-01 70794 2020-01-01 69218 2021-01-01 74895 2022-01-01 78815