Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nome Census Area, AK

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nome Census Area, AK
Series ID MHICILBAK02180A052NCEN
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 21746
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32467
1994-01-01 .
1995-01-01 37010
1996-01-01 .
1997-01-01 32624
1998-01-01 30016
1999-01-01 33611
2000-01-01 35408
2001-01-01 34622
2002-01-01 35540
2003-01-01 36383
2004-01-01 37417
2005-01-01 38639
2006-01-01 41181
2007-01-01 42939
2008-01-01 42279
2009-01-01 43763
2010-01-01 39271
2011-01-01 41245
2012-01-01 43352
2013-01-01 42693
2014-01-01 42824
2015-01-01 48917
2016-01-01 51776
2017-01-01 50000
2018-01-01 50553
2019-01-01 52479
2020-01-01 56494
2021-01-01 59683
2022-01-01 57304

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