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 Upson County, GA Series ID: MHICIUBGA13293A052NCEN 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 1:11 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 23044 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27320 1994-01-01 . 1995-01-01 30542 1996-01-01 . 1997-01-01 31630 1998-01-01 33048 1999-01-01 31841 2000-01-01 33477 2001-01-01 32278 2002-01-01 31897 2003-01-01 31964 2004-01-01 32974 2005-01-01 34757 2006-01-01 35856 2007-01-01 38371 2008-01-01 36753 2009-01-01 36460 2010-01-01 36216 2011-01-01 36702 2012-01-01 37513 2013-01-01 37911 2014-01-01 37311 2015-01-01 41138 2016-01-01 36886 2017-01-01 43646 2018-01-01 45391 2019-01-01 44675 2020-01-01 54379 2021-01-01 52649 2022-01-01 53808