Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Columbia County, OR
Series ID MHICIUBOR41009A052NCEN
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 31406
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37319
1994-01-01 .
1995-01-01 42523
1996-01-01 .
1997-01-01 46038
1998-01-01 48715
1999-01-01 48463
2000-01-01 50715
2001-01-01 49332
2002-01-01 50208
2003-01-01 50217
2004-01-01 52428
2005-01-01 53659
2006-01-01 57872
2007-01-01 56851
2008-01-01 62032
2009-01-01 59092
2010-01-01 54521
2011-01-01 59858
2012-01-01 57952
2013-01-01 58514
2014-01-01 62337
2015-01-01 55164
2016-01-01 68281
2017-01-01 65946
2018-01-01 68723
2019-01-01 79255
2020-01-01 80545
2021-01-01 84713
2022-01-01 83130

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