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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Orleans County, VT
Series ID MHICILBVT50019A052NCEN
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 20063
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22970
1994-01-01 .
1995-01-01 25009
1996-01-01 .
1997-01-01 26176
1998-01-01 27320
1999-01-01 28731
2000-01-01 30055
2001-01-01 29512
2002-01-01 30104
2003-01-01 31716
2004-01-01 32855
2005-01-01 34253
2006-01-01 35483
2007-01-01 34832
2008-01-01 36370
2009-01-01 37705
2010-01-01 33803
2011-01-01 36792
2012-01-01 37846
2013-01-01 37913
2014-01-01 39580
2015-01-01 39630
2016-01-01 39506
2017-01-01 40145
2018-01-01 45554
2019-01-01 43855
2020-01-01 50766
2021-01-01 48913
2022-01-01 51732

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