Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dillingham Census Area, AK
Series ID MHICIUBAK02070A052NCEN
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 39719
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41270
1994-01-01 .
1995-01-01 46506
1996-01-01 .
1997-01-01 38888
1998-01-01 39591
1999-01-01 41158
2000-01-01 44263
2001-01-01 42305
2002-01-01 41864
2003-01-01 43161
2004-01-01 43164
2005-01-01 48044
2006-01-01 50976
2007-01-01 53576
2008-01-01 55397
2009-01-01 51328
2010-01-01 50864
2011-01-01 51131
2012-01-01 51568
2013-01-01 52194
2014-01-01 55906
2015-01-01 55665
2016-01-01 57170
2017-01-01 57957
2018-01-01 59832
2019-01-01 63888
2020-01-01 79257
2021-01-01 64944
2022-01-01 76597

Subscribe to the FRED newsletter


Follow us

Back to Top