Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kenai Peninsula Borough, AK
Series ID MHICILBAK02122A052NCEN
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 1:12 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 34112
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41177
1994-01-01 .
1995-01-01 47314
1996-01-01 .
1997-01-01 43507
1998-01-01 43631
1999-01-01 41135
2000-01-01 44028
2001-01-01 43977
2002-01-01 45581
2003-01-01 45839
2004-01-01 45644
2005-01-01 45032
2006-01-01 51012
2007-01-01 52497
2008-01-01 50165
2009-01-01 52634
2010-01-01 53030
2011-01-01 56570
2012-01-01 56539
2013-01-01 56749
2014-01-01 59243
2015-01-01 57347
2016-01-01 63966
2017-01-01 58391
2018-01-01 62030
2019-01-01 61859
2020-01-01 63523
2021-01-01 63530
2022-01-01 69043

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