Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, OR
Series ID MHICILBOR41041A052NCEN
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 1:53 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 19259
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23142
1994-01-01 .
1995-01-01 25995
1996-01-01 .
1997-01-01 27213
1998-01-01 28423
1999-01-01 29880
2000-01-01 31035
2001-01-01 30134
2002-01-01 30149
2003-01-01 31306
2004-01-01 32090
2005-01-01 30909
2006-01-01 34415
2007-01-01 36254
2008-01-01 35800
2009-01-01 34389
2010-01-01 35423
2011-01-01 37590
2012-01-01 37180
2013-01-01 36994
2014-01-01 37101
2015-01-01 38398
2016-01-01 37694
2017-01-01 42493
2018-01-01 46986
2019-01-01 49814
2020-01-01 49634
2021-01-01 49423
2022-01-01 51761

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