Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Addison County, VT
Series ID MHICIUBVT50001A052NCEN
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 30908
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36021
1994-01-01 .
1995-01-01 37665
1996-01-01 .
1997-01-01 40429
1998-01-01 42702
1999-01-01 43760
2000-01-01 46063
2001-01-01 45833
2002-01-01 46787
2003-01-01 48133
2004-01-01 49522
2005-01-01 52548
2006-01-01 52541
2007-01-01 57932
2008-01-01 59587
2009-01-01 55156
2010-01-01 55695
2011-01-01 57002
2012-01-01 58654
2013-01-01 58716
2014-01-01 62063
2015-01-01 62791
2016-01-01 63687
2017-01-01 63359
2018-01-01 73906
2019-01-01 77620
2020-01-01 80113
2021-01-01 84199
2022-01-01 86165

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