Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coos County, OR

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coos County, OR
Series ID MHICILBOR41011A052NCEN
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 1:11 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 20313
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22992
1994-01-01 .
1995-01-01 24719
1996-01-01 .
1997-01-01 26838
1998-01-01 27700
1999-01-01 28877
2000-01-01 29743
2001-01-01 28901
2002-01-01 29007
2003-01-01 30060
2004-01-01 31150
2005-01-01 30541
2006-01-01 33929
2007-01-01 34427
2008-01-01 33902
2009-01-01 32981
2010-01-01 33702
2011-01-01 33743
2012-01-01 33396
2013-01-01 34976
2014-01-01 37328
2015-01-01 36423
2016-01-01 37723
2017-01-01 38799
2018-01-01 45383
2019-01-01 45884
2020-01-01 46599
2021-01-01 49508
2022-01-01 50914

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