Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fairfield County, CT
Series ID MHICIUBCT09001A052NCEN
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 9:58 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 47425
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 52691
1994-01-01 .
1995-01-01 57379
1996-01-01 .
1997-01-01 59578
1998-01-01 60224
1999-01-01 63705
2000-01-01 67721
2001-01-01 67561
2002-01-01 66328
2003-01-01 64199
2004-01-01 63912
2005-01-01 73224
2006-01-01 78368
2007-01-01 82060
2008-01-01 86060
2009-01-01 80704
2010-01-01 77259
2011-01-01 79272
2012-01-01 81796
2013-01-01 83808
2014-01-01 87986
2015-01-01 88593
2016-01-01 92716
2017-01-01 93438
2018-01-01 93831
2019-01-01 100771
2020-01-01 102108
2021-01-01 103151

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