Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Windham County, CT
Series ID MHICIUBCT09015A052NCEN
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 2021-01-01
Last Updated 2022-12-21 9:57 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 34244
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38979
1994-01-01 .
1995-01-01 41654
1996-01-01 .
1997-01-01 44129
1998-01-01 45232
1999-01-01 45409
2000-01-01 48699
2001-01-01 47814
2002-01-01 48596
2003-01-01 48906
2004-01-01 50273
2005-01-01 51968
2006-01-01 56684
2007-01-01 60023
2008-01-01 57021
2009-01-01 60055
2010-01-01 60431
2011-01-01 58174
2012-01-01 57549
2013-01-01 60136
2014-01-01 61621
2015-01-01 64432
2016-01-01 64578
2017-01-01 66940
2018-01-01 67991
2019-01-01 68291
2020-01-01 71044
2021-01-01 76062

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