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 Jefferson County, KY Series ID: MHICIUBKY21111A052NCEN 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 1:53 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 29363 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32401 1994-01-01 . 1995-01-01 37350 1996-01-01 . 1997-01-01 41365 1998-01-01 42380 1999-01-01 41891 2000-01-01 45155 2001-01-01 45264 2002-01-01 45121 2003-01-01 45630 2004-01-01 44599 2005-01-01 42014 2006-01-01 45009 2007-01-01 45200 2008-01-01 47935 2009-01-01 45880 2010-01-01 43642 2011-01-01 46843 2012-01-01 47052 2013-01-01 48816 2014-01-01 49736 2015-01-01 52228 2016-01-01 53376 2017-01-01 56729 2018-01-01 57345 2019-01-01 61078 2020-01-01 64678 2021-01-01 62638 2022-01-01 66803