NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, OR Series ID: MHICILBOR41031A052NCEN 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 1:11 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 21608 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25389 1994-01-01 . 1995-01-01 28092 1996-01-01 . 1997-01-01 28808 1998-01-01 29838 1999-01-01 32222 2000-01-01 33437 2001-01-01 32175 2002-01-01 32280 2003-01-01 33563 2004-01-01 35557 2005-01-01 36407 2006-01-01 35982 2007-01-01 36435 2008-01-01 39753 2009-01-01 35081 2010-01-01 37415 2011-01-01 37697 2012-01-01 38178 2013-01-01 37132 2014-01-01 39284 2015-01-01 38186 2016-01-01 40371 2017-01-01 46085 2018-01-01 45752 2019-01-01 48328 2020-01-01 58343 2021-01-01 52689 2022-01-01 60069