Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kodiak Island Borough, AK
Series ID MHICIUBAK02150A052NCEN
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 2:32 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 44464
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 53603
1994-01-01 .
1995-01-01 53884
1996-01-01 .
1997-01-01 50713
1998-01-01 51385
1999-01-01 51878
2000-01-01 55037
2001-01-01 54318
2002-01-01 54706
2003-01-01 55397
2004-01-01 56490
2005-01-01 59545
2006-01-01 62754
2007-01-01 64661
2008-01-01 67722
2009-01-01 68647
2010-01-01 65097
2011-01-01 72322
2012-01-01 67205
2013-01-01 71029
2014-01-01 73265
2015-01-01 74283
2016-01-01 81499
2017-01-01 78777
2018-01-01 81675
2019-01-01 87728
2020-01-01 82766
2021-01-01 90766
2022-01-01 92393
2023-01-01 97236

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