Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lake and Peninsula Borough, AK
Series ID MHICIUBAK02164A052NCEN
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 34749
1994-01-01 .
1995-01-01 41944
1996-01-01 .
1997-01-01 30993
1998-01-01 32057
1999-01-01 35590
2000-01-01 37907
2001-01-01 35820
2002-01-01 34141
2003-01-01 34949
2004-01-01 34255
2005-01-01 38055
2006-01-01 40998
2007-01-01 44673
2008-01-01 48119
2009-01-01 46619
2010-01-01 43536
2011-01-01 50821
2012-01-01 48706
2013-01-01 48086
2014-01-01 49913
2015-01-01 46005
2016-01-01 48794
2017-01-01 52361
2018-01-01 54776
2019-01-01 57805
2020-01-01 62047
2021-01-01 57712
2022-01-01 70122

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