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 Warren County, NJ Series ID: MHICILBNJ34041A052NCEN 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 1:54 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 34866 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 42007 1994-01-01 . 1995-01-01 44036 1996-01-01 . 1997-01-01 46906 1998-01-01 50311 1999-01-01 50430 2000-01-01 53181 2001-01-01 52477 2002-01-01 53844 2003-01-01 55411 2004-01-01 57542 2005-01-01 59055 2006-01-01 59645 2007-01-01 62625 2008-01-01 71152 2009-01-01 66126 2010-01-01 65468 2011-01-01 62653 2012-01-01 67575 2013-01-01 63231 2014-01-01 68242 2015-01-01 66720 2016-01-01 70851 2017-01-01 75434 2018-01-01 72783 2019-01-01 80354 2020-01-01 77266 2021-01-01 75687 2022-01-01 93639