Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Valdez-Cordova Census Area, AK
Series ID MHICILBAK02261A052NCEN
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 2020-12-10 6:54 PM 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 43921
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 46365
1994-01-01 .
1995-01-01 50799
1996-01-01 .
1997-01-01 46083
1998-01-01 46979
1999-01-01 43708
2000-01-01 45532
2001-01-01 45795
2002-01-01 46319
2003-01-01 47349
2004-01-01 47978
2005-01-01 48401
2006-01-01 51759
2007-01-01 50393
2008-01-01 53290
2009-01-01 55580
2010-01-01 54586
2011-01-01 57593
2012-01-01 60037
2013-01-01 57388
2014-01-01 69373
2015-01-01 64378
2016-01-01 62137
2017-01-01 81333
2018-01-01 61226
2019-01-01 65596

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