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 Kentucky Series ID: MHICIUBKY21000A052NCEN 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 1:10 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 24590 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26471 1994-01-01 . 1995-01-01 30443 1996-01-01 32576 1997-01-01 33478 1998-01-01 35880 1999-01-01 35114 2000-01-01 36957 2001-01-01 37581 2002-01-01 37619 2003-01-01 38142 2004-01-01 38537 2005-01-01 37838 2006-01-01 39829 2007-01-01 40802 2008-01-01 41930 2009-01-01 40577 2010-01-01 40573 2011-01-01 41595 2012-01-01 42130 2013-01-01 43938 2014-01-01 43585 2015-01-01 45642 2016-01-01 47198 2017-01-01 48948 2018-01-01 50747 2019-01-01 52873 2020-01-01 54909 2021-01-01 56226 2022-01-01 60152