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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grand Isle County, VT

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grand Isle County, VT
Series ID MHICIUBVT50013A052NCEN
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 1:51 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 32463
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35892
1994-01-01 .
1995-01-01 39788
1996-01-01 .
1997-01-01 42419
1998-01-01 45306
1999-01-01 45411
2000-01-01 49022
2001-01-01 48339
2002-01-01 49421
2003-01-01 50148
2004-01-01 52063
2005-01-01 53422
2006-01-01 56308
2007-01-01 57969
2008-01-01 61086
2009-01-01 56770
2010-01-01 59207
2011-01-01 61424
2012-01-01 60128
2013-01-01 61577
2014-01-01 65553
2015-01-01 71668
2016-01-01 70705
2017-01-01 68381
2018-01-01 74303
2019-01-01 75657
2020-01-01 88704
2021-01-01 87127
2022-01-01 81725

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