Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Massachusetts

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Massachusetts
Series ID MHICILBMA25000A052NCEN
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 34290
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36238
1994-01-01 .
1995-01-01 37500
1996-01-01 38862
1997-01-01 41345
1998-01-01 43012
1999-01-01 45996
2000-01-01 47258
2001-01-01 50457
2002-01-01 49202
2003-01-01 51067
2004-01-01 51982
2005-01-01 56531
2006-01-01 59343
2007-01-01 61890
2008-01-01 64719
2009-01-01 63412
2010-01-01 61734
2011-01-01 62285
2012-01-01 64757
2013-01-01 66105
2014-01-01 68303
2015-01-01 70051
2016-01-01 74461
2017-01-01 76519
2018-01-01 78891
2019-01-01 84739
2020-01-01 85615
2021-01-01 88330
2022-01-01 93324

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