Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rutland County, VT
Series ID MHICILBVT50021A052NCEN
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 1:11 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 24853
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27791
1994-01-01 .
1995-01-01 29402
1996-01-01 .
1997-01-01 31468
1998-01-01 31798
1999-01-01 32842
2000-01-01 34720
2001-01-01 34544
2002-01-01 35340
2003-01-01 36602
2004-01-01 37369
2005-01-01 37624
2006-01-01 41701
2007-01-01 39726
2008-01-01 43956
2009-01-01 44819
2010-01-01 40366
2011-01-01 42964
2012-01-01 42330
2013-01-01 43254
2014-01-01 41662
2015-01-01 48641
2016-01-01 47143
2017-01-01 50309
2018-01-01 47590
2019-01-01 49484
2020-01-01 58085
2021-01-01 55584
2022-01-01 55682

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