Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bristol County, MA
Series ID MHICIUBMA25005A052NCEN
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 (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 31115
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37205
1994-01-01 .
1995-01-01 38829
1996-01-01 .
1997-01-01 41524
1998-01-01 43530
1999-01-01 43841
2000-01-01 47311
2001-01-01 46141
2002-01-01 46990
2003-01-01 47573
2004-01-01 49826
2005-01-01 52306
2006-01-01 52808
2007-01-01 56341
2008-01-01 57613
2009-01-01 56385
2010-01-01 52711
2011-01-01 55103
2012-01-01 55359
2013-01-01 55637
2014-01-01 59808
2015-01-01 61867
2016-01-01 67542
2017-01-01 69462
2018-01-01 67863
2019-01-01 73060
2020-01-01 74727
2021-01-01 76922
2022-01-01 84671

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