Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Polk County, OR
Series ID MHICIUBOR41053A052NCEN
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 28862
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33708
1994-01-01 .
1995-01-01 38083
1996-01-01 .
1997-01-01 41445
1998-01-01 43580
1999-01-01 44311
2000-01-01 46669
2001-01-01 45362
2002-01-01 45810
2003-01-01 46265
2004-01-01 48101
2005-01-01 48760
2006-01-01 50460
2007-01-01 50258
2008-01-01 57928
2009-01-01 57189
2010-01-01 52355
2011-01-01 55770
2012-01-01 53540
2013-01-01 55145
2014-01-01 56210
2015-01-01 59404
2016-01-01 59688
2017-01-01 60413
2018-01-01 67771
2019-01-01 75670
2020-01-01 75453
2021-01-01 77342
2022-01-01 82485

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