Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Valdez-Cordova Census Area, AK

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Valdez-Cordova Census Area, AK
Series ID MHICIUBAK02261A052NCEN
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 2019-01-01
Last Updated 2020-12-11 1:20 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 48985
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 52593
1994-01-01 .
1995-01-01 58802
1996-01-01 .
1997-01-01 54946
1998-01-01 56046
1999-01-01 50196
2000-01-01 53000
2001-01-01 52615
2002-01-01 53205
2003-01-01 53664
2004-01-01 54344
2005-01-01 57328
2006-01-01 61258
2007-01-01 60462
2008-01-01 64602
2009-01-01 65980
2010-01-01 66008
2011-01-01 70181
2012-01-01 70159
2013-01-01 69694
2014-01-01 78623
2015-01-01 75824
2016-01-01 77373
2017-01-01 91059
2018-01-01 75830
2019-01-01 83552

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