Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Southeast Fairbanks Census Area, AK
Series ID MHICIUBAK02240A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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 30932
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38345
1994-01-01 .
1995-01-01 46265
1996-01-01 .
1997-01-01 41114
1998-01-01 39234
1999-01-01 37722
2000-01-01 41266
2001-01-01 39573
2002-01-01 39982
2003-01-01 43643
2004-01-01 47895
2005-01-01 50384
2006-01-01 54828
2007-01-01 57415
2008-01-01 63485
2009-01-01 60174
2010-01-01 59773
2011-01-01 60535
2012-01-01 61823
2013-01-01 60283
2014-01-01 65260
2015-01-01 65407
2016-01-01 65273
2017-01-01 65656
2018-01-01 70109
2019-01-01 76130
2020-01-01 74457
2021-01-01 76889
2022-01-01 83674

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