Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New Haven County, CT
Series ID MHICILBCT09009A052NCEN
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 34663
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38627
1994-01-01 .
1995-01-01 39627
1996-01-01 .
1997-01-01 41834
1998-01-01 43454
1999-01-01 43949
2000-01-01 46625
2001-01-01 46183
2002-01-01 46483
2003-01-01 48255
2004-01-01 50049
2005-01-01 51713
2006-01-01 55438
2007-01-01 57630
2008-01-01 60011
2009-01-01 58692
2010-01-01 55483
2011-01-01 56723
2012-01-01 57416
2013-01-01 56561
2014-01-01 58809
2015-01-01 60537
2016-01-01 64242
2017-01-01 64782
2018-01-01 65318
2019-01-01 66999
2020-01-01 69996
2021-01-01 72566

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