Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cumberland County, KY Series ID: MHICIUBKY21057A052NCEN 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 14536 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17562 1994-01-01 . 1995-01-01 21111 1996-01-01 . 1997-01-01 21419 1998-01-01 22556 1999-01-01 22676 2000-01-01 24255 2001-01-01 23530 2002-01-01 23806 2003-01-01 24402 2004-01-01 25312 2005-01-01 26219 2006-01-01 26714 2007-01-01 29225 2008-01-01 31161 2009-01-01 29671 2010-01-01 29875 2011-01-01 30217 2012-01-01 29680 2013-01-01 32438 2014-01-01 32110 2015-01-01 33754 2016-01-01 34099 2017-01-01 35212 2018-01-01 37110 2019-01-01 38555 2020-01-01 44132 2021-01-01 44302 2022-01-01 52487