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 Upper Bound of Estimate of Median Household Income for Morrow County, OR Series ID: MHICIUBOR41049A052NCEN 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 1:51 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 25318 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32582 1994-01-01 . 1995-01-01 33759 1996-01-01 . 1997-01-01 36459 1998-01-01 38100 1999-01-01 38604 2000-01-01 41319 2001-01-01 39818 2002-01-01 41131 2003-01-01 43182 2004-01-01 46997 2005-01-01 47234 2006-01-01 46024 2007-01-01 50445 2008-01-01 55231 2009-01-01 50774 2010-01-01 49692 2011-01-01 51425 2012-01-01 53325 2013-01-01 55078 2014-01-01 57109 2015-01-01 58303 2016-01-01 59113 2017-01-01 55276 2018-01-01 61040 2019-01-01 66246 2020-01-01 69100 2021-01-01 75200 2022-01-01 75310