Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bristol County, MA
Series ID MHICILBMA25005A052NCEN
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 27595
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33563
1994-01-01 .
1995-01-01 33967
1996-01-01 .
1997-01-01 36194
1998-01-01 38179
1999-01-01 38894
2000-01-01 41347
2001-01-01 40647
2002-01-01 41389
2003-01-01 42345
2004-01-01 44307
2005-01-01 49623
2006-01-01 50618
2007-01-01 52928
2008-01-01 54439
2009-01-01 51711
2010-01-01 50011
2011-01-01 51511
2012-01-01 51981
2013-01-01 51615
2014-01-01 55656
2015-01-01 57811
2016-01-01 62766
2017-01-01 64708
2018-01-01 64147
2019-01-01 66654
2020-01-01 69269
2021-01-01 68792
2022-01-01 76733

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