Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lake County, OR
Series ID MHICIUBOR41037A052NCEN
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 26393
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29291
1994-01-01 .
1995-01-01 31215
1996-01-01 .
1997-01-01 33515
1998-01-01 32977
1999-01-01 31231
2000-01-01 32869
2001-01-01 31925
2002-01-01 31787
2003-01-01 32565
2004-01-01 33694
2005-01-01 31016
2006-01-01 38769
2007-01-01 40603
2008-01-01 39618
2009-01-01 38946
2010-01-01 39456
2011-01-01 39052
2012-01-01 41995
2013-01-01 41593
2014-01-01 44376
2015-01-01 43965
2016-01-01 44402
2017-01-01 48330
2018-01-01 49726
2019-01-01 52903
2020-01-01 55911
2021-01-01 57924
2022-01-01 61107
2023-01-01 63671

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