Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Denali Borough, AK

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Denali Borough, AK
Series ID MHICIUBAK02068A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 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
1993-01-01 54069
1994-01-01 .
1995-01-01 54069
1996-01-01 .
1997-01-01 47573
1998-01-01 54172
1999-01-01 55358
2000-01-01 57610
2001-01-01 54970
2002-01-01 57039
2003-01-01 56015
2004-01-01 59916
2005-01-01 63404
2006-01-01 66563
2007-01-01 70647
2008-01-01 77452
2009-01-01 69206
2010-01-01 66946
2011-01-01 75329
2012-01-01 72724
2013-01-01 74783
2014-01-01 76170
2015-01-01 78997
2016-01-01 80069
2017-01-01 80840
2018-01-01 83697
2019-01-01 88058
2020-01-01 92760
2021-01-01 92977
2022-01-01 100792

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