Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Haines Borough, AK
Series ID MHICILBAK02100A052NCEN
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 37210
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38037
1994-01-01 .
1995-01-01 34999
1996-01-01 .
1997-01-01 33892
1998-01-01 35664
1999-01-01 35455
2000-01-01 38073
2001-01-01 36893
2002-01-01 36160
2003-01-01 36456
2004-01-01 37537
2005-01-01 37996
2006-01-01 39765
2007-01-01 42280
2008-01-01 44216
2009-01-01 43697
2010-01-01 41701
2011-01-01 46220
2012-01-01 45139
2013-01-01 49780
2014-01-01 64077
2015-01-01 51920
2016-01-01 47744
2017-01-01 47468
2018-01-01 52432
2019-01-01 54859
2020-01-01 99967
2021-01-01 55404
2022-01-01 62694

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