Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hawaii
Series ID MHICILBHI15000A052NCEN
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 3:14 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 34528
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38457
1994-01-01 .
1995-01-01 42021
1996-01-01 41383
1997-01-01 41622
1998-01-01 39121
1999-01-01 42667
2000-01-01 46370
2001-01-01 44272
2002-01-01 45062
2003-01-01 46063
2004-01-01 48942
2005-01-01 54631
2006-01-01 59522
2007-01-01 61100
2008-01-01 65063
2009-01-01 62422
2010-01-01 61500
2011-01-01 61102
2012-01-01 64683
2013-01-01 66428
2014-01-01 68236
2015-01-01 71322
2016-01-01 73083
2017-01-01 76340
2018-01-01 78756
2019-01-01 81783
2020-01-01 84749
2021-01-01 83548
2022-01-01 91582
2023-01-01 94413

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