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 Caldwell County, KY Series ID: MHICIUBKY21033A052NCEN 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 22143 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24670 1994-01-01 . 1995-01-01 27982 1996-01-01 . 1997-01-01 30798 1998-01-01 32351 1999-01-01 31352 2000-01-01 32727 2001-01-01 32047 2002-01-01 32233 2003-01-01 33468 2004-01-01 34268 2005-01-01 35619 2006-01-01 37542 2007-01-01 40691 2008-01-01 38768 2009-01-01 38851 2010-01-01 39581 2011-01-01 40223 2012-01-01 39635 2013-01-01 41022 2014-01-01 46072 2015-01-01 43317 2016-01-01 44688 2017-01-01 47122 2018-01-01 47046 2019-01-01 49490 2020-01-01 54613 2021-01-01 51781 2022-01-01 57315