Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, OR
Series ID MHICIUBOR41041A052NCEN
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 12:50 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 23781
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27670
1994-01-01 .
1995-01-01 32167
1996-01-01 .
1997-01-01 33359
1998-01-01 34493
1999-01-01 34022
2000-01-01 36012
2001-01-01 34544
2002-01-01 34583
2003-01-01 35493
2004-01-01 36395
2005-01-01 35835
2006-01-01 40360
2007-01-01 42438
2008-01-01 43268
2009-01-01 41788
2010-01-01 41181
2011-01-01 43424
2012-01-01 42296
2013-01-01 42608
2014-01-01 43351
2015-01-01 43838
2016-01-01 45888
2017-01-01 48377
2018-01-01 51544
2019-01-01 54738
2020-01-01 58132
2021-01-01 56079
2022-01-01 62671

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