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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bristol County, RI
Series ID MHICILBRI44001A052NCEN
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 1:53 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 34635
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38321
1994-01-01 .
1995-01-01 41174
1996-01-01 .
1997-01-01 44252
1998-01-01 46952
1999-01-01 46611
2000-01-01 49381
2001-01-01 49119
2002-01-01 49348
2003-01-01 49586
2004-01-01 51682
2005-01-01 55713
2006-01-01 58148
2007-01-01 57900
2008-01-01 62651
2009-01-01 60757
2010-01-01 55826
2011-01-01 63799
2012-01-01 59145
2013-01-01 63453
2014-01-01 61854
2015-01-01 69633
2016-01-01 64875
2017-01-01 66218
2018-01-01 73090
2019-01-01 81221
2020-01-01 87299
2021-01-01 87666
2022-01-01 93437

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