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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Middlesex County, MA

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Middlesex County, MA
Series ID MHICILBMA25017A052NCEN
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 1:12 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 (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.
DATE VALUE
1989-01-01 40146
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43932
1994-01-01 .
1995-01-01 47451
1996-01-01 .
1997-01-01 51095
1998-01-01 52580
1999-01-01 54310
2000-01-01 58895
2001-01-01 59333
2002-01-01 59543
2003-01-01 58972
2004-01-01 59670
2005-01-01 66983
2006-01-01 69734
2007-01-01 73061
2008-01-01 76644
2009-01-01 75727
2010-01-01 73967
2011-01-01 75166
2012-01-01 80543
2013-01-01 80456
2014-01-01 81707
2015-01-01 88610
2016-01-01 93471
2017-01-01 95131
2018-01-01 99103
2019-01-01 104098
2020-01-01 107953
2021-01-01 110004
2022-01-01 116071

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