Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lane County, OR
Series ID MHICILBOR41039A052NCEN
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 23633
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27041
1994-01-01 .
1995-01-01 29993
1996-01-01 .
1997-01-01 31851
1998-01-01 33123
1999-01-01 33930
2000-01-01 35400
2001-01-01 34526
2002-01-01 34225
2003-01-01 34615
2004-01-01 35766
2005-01-01 36355
2006-01-01 40462
2007-01-01 41517
2008-01-01 42044
2009-01-01 38623
2010-01-01 39174
2011-01-01 39721
2012-01-01 39373
2013-01-01 41285
2014-01-01 42967
2015-01-01 44759
2016-01-01 45942
2017-01-01 48937
2018-01-01 51541
2019-01-01 54980
2020-01-01 55311
2021-01-01 58881
2022-01-01 61129

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