Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Windham County, VT
Series ID MHICIUBVT50025A052NCEN
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 29440
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32950
1994-01-01 .
1995-01-01 35818
1996-01-01 .
1997-01-01 38522
1998-01-01 39573
1999-01-01 39380
2000-01-01 42331
2001-01-01 41266
2002-01-01 41681
2003-01-01 42765
2004-01-01 43809
2005-01-01 44693
2006-01-01 44794
2007-01-01 46470
2008-01-01 50330
2009-01-01 50289
2010-01-01 46456
2011-01-01 50176
2012-01-01 51598
2013-01-01 49717
2014-01-01 53167
2015-01-01 52466
2016-01-01 51437
2017-01-01 51327
2018-01-01 57778
2019-01-01 56906
2020-01-01 64908
2021-01-01 68749
2022-01-01 67841
2023-01-01 70532

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