Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for North Slope Borough, AK

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for North Slope Borough, AK
Series ID MHICIUBAK02185A052NCEN
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 39871
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 56981
1994-01-01 .
1995-01-01 71161
1996-01-01 .
1997-01-01 61325
1998-01-01 63474
1999-01-01 59628
2000-01-01 63327
2001-01-01 62068
2002-01-01 62094
2003-01-01 61761
2004-01-01 62785
2005-01-01 67355
2006-01-01 71099
2007-01-01 75261
2008-01-01 79947
2009-01-01 82593
2010-01-01 75399
2011-01-01 80792
2012-01-01 75293
2013-01-01 80932
2014-01-01 82901
2015-01-01 77680
2016-01-01 82955
2017-01-01 88614
2018-01-01 95945
2019-01-01 94351
2020-01-01 109125
2021-01-01 107171
2022-01-01 108022
2023-01-01 115327

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