Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Orleans County, VT
Series ID MHICIUBVT50019A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 24421
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27376
1994-01-01 .
1995-01-01 30905
1996-01-01 .
1997-01-01 32175
1998-01-01 33229
1999-01-01 32652
2000-01-01 34790
2001-01-01 33856
2002-01-01 34518
2003-01-01 35962
2004-01-01 37205
2005-01-01 39024
2006-01-01 39738
2007-01-01 40300
2008-01-01 41998
2009-01-01 42122
2010-01-01 39227
2011-01-01 42404
2012-01-01 43682
2013-01-01 43131
2014-01-01 44598
2015-01-01 46138
2016-01-01 46708
2017-01-01 47995
2018-01-01 51822
2019-01-01 53797
2020-01-01 62676
2021-01-01 59779
2022-01-01 61904
2023-01-01 65158

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