Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fairfield County, CT
Series ID MHICILBCT09001A052NCEN
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 43600
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48636
1994-01-01 .
1995-01-01 52412
1996-01-01 .
1997-01-01 54151
1998-01-01 54539
1999-01-01 56609
2000-01-01 60035
2001-01-01 60401
2002-01-01 59376
2003-01-01 58028
2004-01-01 57820
2005-01-01 69762
2006-01-01 74389
2007-01-01 77981
2008-01-01 82439
2009-01-01 77081
2010-01-01 72009
2011-01-01 74858
2012-01-01 77276
2013-01-01 79824
2014-01-01 82686
2015-01-01 84001
2016-01-01 87192
2017-01-01 88902
2018-01-01 88535
2019-01-01 93161
2020-01-01 95548
2021-01-01 98255

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