Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hawaii County, HI
Series ID MHICIUBHI15001A052NCEN
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 12:51 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 27162
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33262
1994-01-01 .
1995-01-01 37894
1996-01-01 .
1997-01-01 37400
1998-01-01 37258
1999-01-01 38148
2000-01-01 41357
2001-01-01 40130
2002-01-01 40923
2003-01-01 42452
2004-01-01 44550
2005-01-01 49257
2006-01-01 54376
2007-01-01 58597
2008-01-01 55211
2009-01-01 54128
2010-01-01 49302
2011-01-01 48283
2012-01-01 51402
2013-01-01 50923
2014-01-01 53899
2015-01-01 58418
2016-01-01 57434
2017-01-01 59784
2018-01-01 60780
2019-01-01 68576
2020-01-01 75670
2021-01-01 71806
2022-01-01 75835

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