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 Owen County, KY Series ID: MHICILBKY21187A052NCEN 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 1:12 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 18247 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22953 1994-01-01 . 1995-01-01 24761 1996-01-01 . 1997-01-01 26849 1998-01-01 28425 1999-01-01 30170 2000-01-01 31286 2001-01-01 30449 2002-01-01 30468 2003-01-01 31683 2004-01-01 33001 2005-01-01 34092 2006-01-01 38622 2007-01-01 37164 2008-01-01 37565 2009-01-01 35008 2010-01-01 36626 2011-01-01 36828 2012-01-01 36369 2013-01-01 38028 2014-01-01 39410 2015-01-01 39142 2016-01-01 41408 2017-01-01 43170 2018-01-01 43683 2019-01-01 45300 2020-01-01 41536 2021-01-01 48879 2022-01-01 53625