Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, VT
Series ID MHICIUBVT50011A052NCEN
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 28856
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33288
1994-01-01 .
1995-01-01 36674
1996-01-01 .
1997-01-01 38685
1998-01-01 40116
1999-01-01 41859
2000-01-01 44456
2001-01-01 43910
2002-01-01 44951
2003-01-01 46332
2004-01-01 47894
2005-01-01 48654
2006-01-01 53124
2007-01-01 54626
2008-01-01 56913
2009-01-01 53892
2010-01-01 54192
2011-01-01 57713
2012-01-01 57421
2013-01-01 59246
2014-01-01 62869
2015-01-01 63226
2016-01-01 63494
2017-01-01 64169
2018-01-01 65954
2019-01-01 71065
2020-01-01 70544
2021-01-01 75094
2022-01-01 82943

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