Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bethel Census Area, AK
Series ID MHICILBAK02050A052NCEN
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 20116
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27715
1994-01-01 .
1995-01-01 33346
1996-01-01 .
1997-01-01 25418
1998-01-01 23209
1999-01-01 28356
2000-01-01 30816
2001-01-01 29877
2002-01-01 31070
2003-01-01 32921
2004-01-01 33639
2005-01-01 42856
2006-01-01 37875
2007-01-01 35926
2008-01-01 37929
2009-01-01 37940
2010-01-01 42233
2011-01-01 39954
2012-01-01 38382
2013-01-01 39645
2014-01-01 42213
2015-01-01 41322
2016-01-01 43010
2017-01-01 41699
2018-01-01 40044
2019-01-01 43113
2020-01-01 45292
2021-01-01 49710
2022-01-01 53762

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