Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Suffolk County, MA
Series ID MHICILBMA25025A052NCEN
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 1:54 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 23496
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28409
1994-01-01 .
1995-01-01 30509
1996-01-01 .
1997-01-01 33663
1998-01-01 35317
1999-01-01 35776
2000-01-01 38062
2001-01-01 37239
2002-01-01 37601
2003-01-01 37889
2004-01-01 39227
2005-01-01 41107
2006-01-01 45654
2007-01-01 48201
2008-01-01 49874
2009-01-01 51731
2010-01-01 47466
2011-01-01 46986
2012-01-01 49595
2013-01-01 52318
2014-01-01 52553
2015-01-01 54762
2016-01-01 59681
2017-01-01 64289
2018-01-01 66071
2019-01-01 72711
2020-01-01 82292
2021-01-01 73850
2022-01-01 81726

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