Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Douglas County, OR
Series ID MHICIUBOR41019A052NCEN
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 1:51 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 26982
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29350
1994-01-01 .
1995-01-01 32829
1996-01-01 .
1997-01-01 35080
1998-01-01 36217
1999-01-01 35107
2000-01-01 36844
2001-01-01 35447
2002-01-01 36132
2003-01-01 36741
2004-01-01 38384
2005-01-01 38818
2006-01-01 40533
2007-01-01 41712
2008-01-01 41152
2009-01-01 41018
2010-01-01 39230
2011-01-01 40711
2012-01-01 41690
2013-01-01 42390
2014-01-01 43975
2015-01-01 44550
2016-01-01 45999
2017-01-01 49872
2018-01-01 49797
2019-01-01 51989
2020-01-01 57274
2021-01-01 55687
2022-01-01 60592

Subscribe to the FRED newsletter


Follow us

Back to Top