Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kenai Peninsula Borough, AK
Series ID MHICIUBAK02122A052NCEN
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 1:10 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 38889
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 46762
1994-01-01 .
1995-01-01 54375
1996-01-01 .
1997-01-01 50852
1998-01-01 51552
1999-01-01 46756
2000-01-01 50719
2001-01-01 50294
2002-01-01 52104
2003-01-01 51732
2004-01-01 51480
2005-01-01 51713
2006-01-01 57550
2007-01-01 60798
2008-01-01 58248
2009-01-01 61708
2010-01-01 61664
2011-01-01 64150
2012-01-01 64323
2013-01-01 66509
2014-01-01 65821
2015-01-01 66703
2016-01-01 73036
2017-01-01 68727
2018-01-01 68848
2019-01-01 75391
2020-01-01 73373
2021-01-01 78692
2022-01-01 83465

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