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 Warren County, NJ Series ID: MHICIUBNJ34041A052NCEN 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 39272 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 46498 1994-01-01 . 1995-01-01 50033 1996-01-01 . 1997-01-01 53082 1998-01-01 56437 1999-01-01 57427 2000-01-01 61620 2001-01-01 60169 2002-01-01 61749 2003-01-01 62816 2004-01-01 65263 2005-01-01 63026 2006-01-01 66429 2007-01-01 69848 2008-01-01 78291 2009-01-01 74057 2010-01-01 73848 2011-01-01 71061 2012-01-01 73545 2013-01-01 72791 2014-01-01 74346 2015-01-01 76624 2016-01-01 78817 2017-01-01 83832 2018-01-01 82359 2019-01-01 87642 2020-01-01 83558 2021-01-01 90113 2022-01-01 101819