Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Windham County, VT
Series ID MHICILBVT50025A052NCEN
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 2:32 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 25164
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28674
1994-01-01 .
1995-01-01 30100
1996-01-01 .
1997-01-01 32643
1998-01-01 33742
1999-01-01 34688
2000-01-01 36771
2001-01-01 36263
2002-01-01 36596
2003-01-01 37953
2004-01-01 38880
2005-01-01 40050
2006-01-01 40364
2007-01-01 41048
2008-01-01 42762
2009-01-01 43536
2010-01-01 39634
2011-01-01 42956
2012-01-01 46598
2013-01-01 43567
2014-01-01 46065
2015-01-01 46130
2016-01-01 42711
2017-01-01 44327
2018-01-01 51104
2019-01-01 47230
2020-01-01 53126
2021-01-01 60013
2022-01-01 56111
2023-01-01 58340

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