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 Graves County, KY Series ID: MHICILBKY21083A052NCEN 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 19858 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22473 1994-01-01 . 1995-01-01 24698 1996-01-01 . 1997-01-01 26580 1998-01-01 28166 1999-01-01 28932 2000-01-01 29904 2001-01-01 29571 2002-01-01 29663 2003-01-01 30642 2004-01-01 30940 2005-01-01 30778 2006-01-01 32693 2007-01-01 33740 2008-01-01 33563 2009-01-01 32625 2010-01-01 32319 2011-01-01 32523 2012-01-01 36227 2013-01-01 36797 2014-01-01 37151 2015-01-01 36200 2016-01-01 38397 2017-01-01 38811 2018-01-01 42865 2019-01-01 43575 2020-01-01 39333 2021-01-01 44211 2022-01-01 48607