Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marion County, OR
Series ID MHICILBOR41047A052NCEN
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 24223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29605
1994-01-01 .
1995-01-01 32412
1996-01-01 .
1997-01-01 34006
1998-01-01 35325
1999-01-01 36617
2000-01-01 38260
2001-01-01 37117
2002-01-01 37151
2003-01-01 37219
2004-01-01 38383
2005-01-01 41342
2006-01-01 43296
2007-01-01 41642
2008-01-01 45491
2009-01-01 41284
2010-01-01 43096
2011-01-01 42569
2012-01-01 43537
2013-01-01 44609
2014-01-01 46347
2015-01-01 49330
2016-01-01 53891
2017-01-01 54128
2018-01-01 53975
2019-01-01 62234
2020-01-01 61196
2021-01-01 61429
2022-01-01 67825

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