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 Johnson County, KY Series ID: MHICIUBKY21115A052NCEN 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 1:52 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 20928 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22719 1994-01-01 . 1995-01-01 25911 1996-01-01 . 1997-01-01 27203 1998-01-01 28297 1999-01-01 27319 2000-01-01 28244 2001-01-01 27678 2002-01-01 28692 2003-01-01 29767 2004-01-01 30343 2005-01-01 31219 2006-01-01 32784 2007-01-01 35719 2008-01-01 34122 2009-01-01 35113 2010-01-01 37493 2011-01-01 38051 2012-01-01 38219 2013-01-01 37899 2014-01-01 37750 2015-01-01 39502 2016-01-01 39184 2017-01-01 40918 2018-01-01 43091 2019-01-01 34552 2020-01-01 46115 2021-01-01 46050 2022-01-01 48087