Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lane County, OR
Series ID MHICIUBOR41039A052NCEN
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 1:09 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 27738
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31177
1994-01-01 .
1995-01-01 35392
1996-01-01 .
1997-01-01 37477
1998-01-01 38731
1999-01-01 38351
2000-01-01 40561
2001-01-01 39173
2002-01-01 38839
2003-01-01 38878
2004-01-01 40172
2005-01-01 38835
2006-01-01 43677
2007-01-01 44982
2008-01-01 45184
2009-01-01 42102
2010-01-01 41916
2011-01-01 41657
2012-01-01 42873
2013-01-01 46271
2014-01-01 46985
2015-01-01 49749
2016-01-01 49924
2017-01-01 52485
2018-01-01 54781
2019-01-01 59444
2020-01-01 62325
2021-01-01 64137
2022-01-01 67255

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