Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbia County, OR
Series ID MHICILBOR41009A052NCEN
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 27135
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32981
1994-01-01 .
1995-01-01 36571
1996-01-01 .
1997-01-01 39793
1998-01-01 42462
1999-01-01 42509
2000-01-01 43803
2001-01-01 43109
2002-01-01 43790
2003-01-01 44280
2004-01-01 46221
2005-01-01 47319
2006-01-01 52045
2007-01-01 50464
2008-01-01 53105
2009-01-01 52748
2010-01-01 46893
2011-01-01 51434
2012-01-01 48548
2013-01-01 51930
2014-01-01 52697
2015-01-01 48956
2016-01-01 57829
2017-01-01 56960
2018-01-01 57953
2019-01-01 65315
2020-01-01 65501
2021-01-01 71821
2022-01-01 72014

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