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 Bergen County, NJ Series ID: MHICILBNJ34003A052NCEN 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 44307 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 47231 1994-01-01 . 1995-01-01 53080 1996-01-01 . 1997-01-01 57049 1998-01-01 58219 1999-01-01 57826 2000-01-01 60272 2001-01-01 60474 2002-01-01 61338 2003-01-01 60555 2004-01-01 62014 2005-01-01 69446 2006-01-01 73079 2007-01-01 77517 2008-01-01 80162 2009-01-01 78430 2010-01-01 74422 2011-01-01 76665 2012-01-01 79148 2013-01-01 80374 2014-01-01 81445 2015-01-01 85637 2016-01-01 90553 2017-01-01 90841 2018-01-01 98575 2019-01-01 104946 2020-01-01 102827 2021-01-01 101743 2022-01-01 110458