Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Alaska

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Alaska
Series ID MHICILBAK02000A052NCEN
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 31839
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37807
1994-01-01 .
1995-01-01 40268
1996-01-01 41914
1997-01-01 41257
1998-01-01 45029
1999-01-01 47528
2000-01-01 49341
2001-01-01 50506
2002-01-01 49860
2003-01-01 50764
2004-01-01 50454
2005-01-01 54210
2006-01-01 57446
2007-01-01 61569
2008-01-01 65719
2009-01-01 65176
2010-01-01 62061
2011-01-01 64147
2012-01-01 65013
2013-01-01 68425
2014-01-01 69423
2015-01-01 71522
2016-01-01 74375
2017-01-01 72099
2018-01-01 73075
2019-01-01 74942
2020-01-01 77531
2021-01-01 76456
2022-01-01 85702

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