Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lamoille County, VT
Series ID MHICIUBVT50015A052NCEN
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 1:09 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 27382
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32270
1994-01-01 .
1995-01-01 35217
1996-01-01 .
1997-01-01 36380
1998-01-01 38319
1999-01-01 39819
2000-01-01 43014
2001-01-01 41952
2002-01-01 42569
2003-01-01 44192
2004-01-01 45691
2005-01-01 48047
2006-01-01 47911
2007-01-01 51446
2008-01-01 54226
2009-01-01 54816
2010-01-01 51789
2011-01-01 50631
2012-01-01 53093
2013-01-01 50900
2014-01-01 53084
2015-01-01 58811
2016-01-01 60704
2017-01-01 62039
2018-01-01 64794
2019-01-01 66957
2020-01-01 65013
2021-01-01 70728
2022-01-01 69971

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