Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Maui County, HI
Series ID MHICILBHI15009A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 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
1993-01-01 36059
1994-01-01 .
1995-01-01 38681
1996-01-01 .
1997-01-01 37449
1998-01-01 37421
1999-01-01 40090
2000-01-01 44072
2001-01-01 43373
2002-01-01 43315
2003-01-01 44240
2004-01-01 46253
2005-01-01 50962
2006-01-01 54777
2007-01-01 56755
2008-01-01 60302
2009-01-01 54367
2010-01-01 52307
2011-01-01 54582
2012-01-01 56549
2013-01-01 59084
2014-01-01 62156
2015-01-01 66231
2016-01-01 66215
2017-01-01 72812
2018-01-01 74643
2019-01-01 72192
2020-01-01 73281
2021-01-01 70123
2022-01-01 83800

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