Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kauai County, HI
Series ID MHICIUBHI15007A052NCEN
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 3:12 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 35479
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39441
1994-01-01 .
1995-01-01 43353
1996-01-01 .
1997-01-01 42055
1998-01-01 41749
1999-01-01 42808
2000-01-01 46589
2001-01-01 44941
2002-01-01 45041
2003-01-01 45985
2004-01-01 48062
2005-01-01 60217
2006-01-01 54775
2007-01-01 59734
2008-01-01 65361
2009-01-01 60503
2010-01-01 56415
2011-01-01 60503
2012-01-01 59223
2013-01-01 59940
2014-01-01 63262
2015-01-01 73382
2016-01-01 68305
2017-01-01 79018
2018-01-01 78313
2019-01-01 79602
2020-01-01 87768
2021-01-01 82271
2022-01-01 88804
2023-01-01 97513

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