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 Schley County, GA Series ID: MHICILBGA13249A052NCEN 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 17488 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21965 1994-01-01 . 1995-01-01 23271 1996-01-01 . 1997-01-01 25382 1998-01-01 26046 1999-01-01 28391 2000-01-01 29575 2001-01-01 28769 2002-01-01 28355 2003-01-01 30037 2004-01-01 31034 2005-01-01 31438 2006-01-01 32216 2007-01-01 33808 2008-01-01 34285 2009-01-01 34237 2010-01-01 34158 2011-01-01 33842 2012-01-01 35437 2013-01-01 35491 2014-01-01 35494 2015-01-01 37510 2016-01-01 38782 2017-01-01 38863 2018-01-01 40785 2019-01-01 45414 2020-01-01 45409 2021-01-01 47118 2022-01-01 50218