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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). 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