Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hawaii
Series ID MHICIUBHI15000A052NCEN
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 2:32 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 37136
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41323
1994-01-01 .
1995-01-01 45925
1996-01-01 45970
1997-01-01 45632
1998-01-01 44133
1999-01-01 46843
2000-01-01 51640
2001-01-01 48799
2002-01-01 49786
2003-01-01 50485
2004-01-01 53776
2005-01-01 57634
2006-01-01 61586
2007-01-01 64125
2008-01-01 68339
2009-01-01 65059
2010-01-01 64048
2011-01-01 63040
2012-01-01 67489
2013-01-01 69168
2014-01-01 70862
2015-01-01 74872
2016-01-01 76235
2017-01-01 79532
2018-01-01 82298
2019-01-01 85685
2020-01-01 89007
2021-01-01 87546
2022-01-01 95784
2023-01-01 99019

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