Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dillingham Census Area, AK
Series ID MHICILBAK02070A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:14 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 32429
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34780
1994-01-01 .
1995-01-01 38059
1996-01-01 .
1997-01-01 31279
1998-01-01 31001
1999-01-01 35900
2000-01-01 37991
2001-01-01 36678
2002-01-01 36277
2003-01-01 37959
2004-01-01 37904
2005-01-01 39937
2006-01-01 43381
2007-01-01 45061
2008-01-01 46257
2009-01-01 41831
2010-01-01 42826
2011-01-01 41723
2012-01-01 43428
2013-01-01 43666
2014-01-01 46258
2015-01-01 45841
2016-01-01 47330
2017-01-01 47325
2018-01-01 49216
2019-01-01 50984
2020-01-01 65411
2021-01-01 51834
2022-01-01 62835
2023-01-01 55378

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