Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sitka Borough/City, AK

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sitka Borough/City, AK
Series ID MHICIUBAK02220A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 42200
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 51895
1994-01-01 .
1995-01-01 57171
1996-01-01 .
1997-01-01 53628
1998-01-01 52951
1999-01-01 51401
2000-01-01 54610
2001-01-01 53115
2002-01-01 53822
2003-01-01 54577
2004-01-01 54890
2005-01-01 59416
2006-01-01 58661
2007-01-01 64822
2008-01-01 67500
2009-01-01 65436
2010-01-01 63553
2011-01-01 67584
2012-01-01 66505
2013-01-01 71668
2014-01-01 72389
2015-01-01 74758
2016-01-01 78889
2017-01-01 75666
2018-01-01 76665
2019-01-01 87509
2020-01-01 89849
2021-01-01 86008
2022-01-01 98777
2023-01-01 99933

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