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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Denali Borough, AK
Series ID MHICILBAK02068A052NCEN
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 1:55 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 46291
1994-01-01 .
1995-01-01 46291
1996-01-01 .
1997-01-01 40536
1998-01-01 45379
1999-01-01 47605
2000-01-01 48919
2001-01-01 47262
2002-01-01 49062
2003-01-01 48701
2004-01-01 52309
2005-01-01 52634
2006-01-01 55101
2007-01-01 58483
2008-01-01 63989
2009-01-01 56024
2010-01-01 55062
2011-01-01 62469
2012-01-01 59926
2013-01-01 61423
2014-01-01 63214
2015-01-01 67003
2016-01-01 64687
2017-01-01 65600
2018-01-01 67257
2019-01-01 68810
2020-01-01 67624
2021-01-01 77525
2022-01-01 81002

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