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 Upson County, GA Series ID: MHICILBGA13293A052NCEN 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 18547 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22862 1994-01-01 . 1995-01-01 24711 1996-01-01 . 1997-01-01 25714 1998-01-01 27156 1999-01-01 28065 2000-01-01 28977 2001-01-01 28168 2002-01-01 27829 2003-01-01 28159 2004-01-01 29042 2005-01-01 29474 2006-01-01 30356 2007-01-01 31721 2008-01-01 31151 2009-01-01 30660 2010-01-01 30706 2011-01-01 30264 2012-01-01 31277 2013-01-01 31507 2014-01-01 32423 2015-01-01 34590 2016-01-01 31192 2017-01-01 35914 2018-01-01 36539 2019-01-01 37177 2020-01-01 42087 2021-01-01 41631 2022-01-01 42314