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 Shelby County, KY Series ID: MHICILBKY21211A052NCEN 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 1:54 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 25030 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31362 1994-01-01 . 1995-01-01 34429 1996-01-01 . 1997-01-01 37068 1998-01-01 39658 1999-01-01 41670 2000-01-01 43454 2001-01-01 43165 2002-01-01 43474 2003-01-01 44217 2004-01-01 44795 2005-01-01 47761 2006-01-01 47599 2007-01-01 48508 2008-01-01 53480 2009-01-01 47428 2010-01-01 47921 2011-01-01 46866 2012-01-01 52032 2013-01-01 52015 2014-01-01 52865 2015-01-01 56812 2016-01-01 56240 2017-01-01 59268 2018-01-01 60296 2019-01-01 64516 2020-01-01 69229 2021-01-01 66321 2022-01-01 76322