Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for North Slope Borough, AK
Series ID MHICILBAK02185A052NCEN
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 1:12 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 33461
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 50716
1994-01-01 .
1995-01-01 63840
1996-01-01 .
1997-01-01 52482
1998-01-01 53910
1999-01-01 52045
2000-01-01 54400
2001-01-01 53656
2002-01-01 53838
2003-01-01 54135
2004-01-01 54995
2005-01-01 58165
2006-01-01 59062
2007-01-01 61918
2008-01-01 65051
2009-01-01 67521
2010-01-01 62089
2011-01-01 66696
2012-01-01 62983
2013-01-01 67416
2014-01-01 68463
2015-01-01 63988
2016-01-01 67041
2017-01-01 76858
2018-01-01 82607
2019-01-01 75217
2020-01-01 80393
2021-01-01 82911
2022-01-01 83568

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