Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Windham County, CT
Series ID MHICILBCT09015A052NCEN
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 10:00 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 29827
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34549
1994-01-01 .
1995-01-01 35661
1996-01-01 .
1997-01-01 38070
1998-01-01 39248
1999-01-01 39938
2000-01-01 42083
2001-01-01 41835
2002-01-01 42476
2003-01-01 43258
2004-01-01 44513
2005-01-01 45292
2006-01-01 50921
2007-01-01 54655
2008-01-01 51034
2009-01-01 52628
2010-01-01 52697
2011-01-01 51648
2012-01-01 50893
2013-01-01 51760
2014-01-01 53473
2015-01-01 58174
2016-01-01 57160
2017-01-01 58272
2018-01-01 62373
2019-01-01 58327
2020-01-01 61654
2021-01-01 67100

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