Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake and Peninsula Borough, AK

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake and Peninsula Borough, AK
Series ID MHICILBAK02164A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 to 2022-01-01
Last Updated 2023-12-14 1:55 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
1993-01-01 28786
1994-01-01 .
1995-01-01 33366
1996-01-01 .
1997-01-01 23016
1998-01-01 22761
1999-01-01 31089
2000-01-01 32363
2001-01-01 30996
2002-01-01 29311
2003-01-01 30441
2004-01-01 29650
2005-01-01 31558
2006-01-01 34265
2007-01-01 36475
2008-01-01 39254
2009-01-01 37854
2010-01-01 36052
2011-01-01 44403
2012-01-01 40608
2013-01-01 39786
2014-01-01 41227
2015-01-01 38235
2016-01-01 39826
2017-01-01 42927
2018-01-01 44030
2019-01-01 45581
2020-01-01 46725
2021-01-01 44698
2022-01-01 55954

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