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 Hudson County, NJ Series ID: MHICILBNJ34017A052NCEN 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 24884 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27722 1994-01-01 . 1995-01-01 29800 1996-01-01 . 1997-01-01 32245 1998-01-01 33136 1999-01-01 34672 2000-01-01 36447 2001-01-01 36137 2002-01-01 36159 2003-01-01 36701 2004-01-01 38083 2005-01-01 42082 2006-01-01 46122 2007-01-01 49716 2008-01-01 53002 2009-01-01 53854 2010-01-01 51326 2011-01-01 52658 2012-01-01 53891 2013-01-01 54047 2014-01-01 55552 2015-01-01 58430 2016-01-01 61211 2017-01-01 62522 2018-01-01 71198 2019-01-01 75224 2020-01-01 72957 2021-01-01 76316 2022-01-01 79480