Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kauai County, HI
Series ID MHICILBHI15007A052NCEN
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 2:33 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 31171
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34549
1994-01-01 .
1995-01-01 36958
1996-01-01 .
1997-01-01 35682
1998-01-01 35340
1999-01-01 37420
2000-01-01 39950
2001-01-01 38958
2002-01-01 39101
2003-01-01 40496
2004-01-01 42406
2005-01-01 53513
2006-01-01 46752
2007-01-01 51838
2008-01-01 59641
2009-01-01 50943
2010-01-01 49013
2011-01-01 53371
2012-01-01 52005
2013-01-01 51748
2014-01-01 54504
2015-01-01 66862
2016-01-01 58023
2017-01-01 70744
2018-01-01 69649
2019-01-01 66456
2020-01-01 73266
2021-01-01 71167
2022-01-01 75074
2023-01-01 82655

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