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 Middlesex County, MA Series ID: MHICIUBMA25017A052NCEN 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 42954 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 46816 1994-01-01 . 1995-01-01 51121 1996-01-01 . 1997-01-01 55429 1998-01-01 57045 1999-01-01 60326 2000-01-01 65917 2001-01-01 66158 2002-01-01 66390 2003-01-01 65298 2004-01-01 66209 2005-01-01 70577 2006-01-01 71993 2007-01-01 76055 2008-01-01 79436 2009-01-01 79616 2010-01-01 76761 2011-01-01 78440 2012-01-01 83305 2013-01-01 83780 2014-01-01 86345 2015-01-01 91440 2016-01-01 96483 2017-01-01 100571 2018-01-01 101645 2019-01-01 108988 2020-01-01 114363 2021-01-01 114686 2022-01-01 120917