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 Carlisle County, KY Series ID: MHICIUBKY21039A052NCEN 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 22670 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25254 1994-01-01 . 1995-01-01 28495 1996-01-01 . 1997-01-01 31537 1998-01-01 33020 1999-01-01 32962 2000-01-01 34614 2001-01-01 33456 2002-01-01 33375 2003-01-01 34526 2004-01-01 34726 2005-01-01 36111 2006-01-01 37968 2007-01-01 39737 2008-01-01 40238 2009-01-01 39537 2010-01-01 41820 2011-01-01 41791 2012-01-01 44728 2013-01-01 41867 2014-01-01 44359 2015-01-01 47505 2016-01-01 49447 2017-01-01 46692 2018-01-01 45438 2019-01-01 55104 2020-01-01 54293 2021-01-01 60659 2022-01-01 61349