Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sitka Borough/City, AK
Series ID MHICILBAK02220A052NCEN
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 2:34 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 36569
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 46249
1994-01-01 .
1995-01-01 49487
1996-01-01 .
1997-01-01 46685
1998-01-01 45082
1999-01-01 45026
2000-01-01 46928
2001-01-01 46182
2002-01-01 46767
2003-01-01 48045
2004-01-01 48309
2005-01-01 49581
2006-01-01 49440
2007-01-01 53094
2008-01-01 55372
2009-01-01 53636
2010-01-01 52447
2011-01-01 56328
2012-01-01 57037
2013-01-01 60408
2014-01-01 59141
2015-01-01 62186
2016-01-01 66701
2017-01-01 63336
2018-01-01 66985
2019-01-01 73811
2020-01-01 68877
2021-01-01 70488
2022-01-01 81913
2023-01-01 78595

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