Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clatsop County, OR
Series ID MHICIUBOR41007A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 26355
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30339
1994-01-01 .
1995-01-01 33893
1996-01-01 .
1997-01-01 36587
1998-01-01 37754
1999-01-01 37661
2000-01-01 39804
2001-01-01 38230
2002-01-01 37952
2003-01-01 38424
2004-01-01 40138
2005-01-01 41826
2006-01-01 41608
2007-01-01 45063
2008-01-01 48235
2009-01-01 41594
2010-01-01 47095
2011-01-01 46977
2012-01-01 46970
2013-01-01 46590
2014-01-01 49141
2015-01-01 50622
2016-01-01 54103
2017-01-01 56201
2018-01-01 58524
2019-01-01 63561
2020-01-01 69616
2021-01-01 64032
2022-01-01 69354
2023-01-01 73011

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