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 Mason County, KY Series ID: MHICILBKY21161A052NCEN 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 18749 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22460 1994-01-01 . 1995-01-01 23733 1996-01-01 . 1997-01-01 26261 1998-01-01 27853 1999-01-01 28373 2000-01-01 29533 2001-01-01 29344 2002-01-01 29832 2003-01-01 31116 2004-01-01 31960 2005-01-01 29906 2006-01-01 34612 2007-01-01 34368 2008-01-01 34346 2009-01-01 34251 2010-01-01 33510 2011-01-01 36097 2012-01-01 33636 2013-01-01 39508 2014-01-01 36050 2015-01-01 33363 2016-01-01 39328 2017-01-01 41112 2018-01-01 37885 2019-01-01 42559 2020-01-01 41897 2021-01-01 44190 2022-01-01 43085