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 Middlesex County, NJ Series ID: MHICILBNJ34023A052NCEN 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 40106 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 45729 1994-01-01 . 1995-01-01 47637 1996-01-01 . 1997-01-01 50034 1998-01-01 51437 1999-01-01 52337 2000-01-01 55067 2001-01-01 55898 2002-01-01 56250 2003-01-01 56088 2004-01-01 57604 2005-01-01 66131 2006-01-01 70052 2007-01-01 73197 2008-01-01 75582 2009-01-01 72321 2010-01-01 73946 2011-01-01 71197 2012-01-01 75173 2013-01-01 74440 2014-01-01 74797 2015-01-01 75118 2016-01-01 80072 2017-01-01 83346 2018-01-01 84576 2019-01-01 89480 2020-01-01 92034 2021-01-01 96570 2022-01-01 99032