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 Robertson County, KY Series ID: MHICILBKY21201A052NCEN 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 1:12 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 15826 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19534 1994-01-01 . 1995-01-01 22207 1996-01-01 . 1997-01-01 23035 1998-01-01 24711 1999-01-01 27373 2000-01-01 28297 2001-01-01 27795 2002-01-01 27114 2003-01-01 28131 2004-01-01 29152 2005-01-01 27834 2006-01-01 30878 2007-01-01 31296 2008-01-01 31950 2009-01-01 31421 2010-01-01 29775 2011-01-01 31815 2012-01-01 33317 2013-01-01 34407 2014-01-01 33267 2015-01-01 35848 2016-01-01 37298 2017-01-01 38455 2018-01-01 40302 2019-01-01 41735 2020-01-01 41882 2021-01-01 45122 2022-01-01 46662