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 Echols County, GA Series ID: MHICIUBGA13101A052NCEN 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 1:53 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 22923 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25814 1994-01-01 . 1995-01-01 30001 1996-01-01 . 1997-01-01 33162 1998-01-01 33302 1999-01-01 28579 2000-01-01 29120 2001-01-01 28589 2002-01-01 28292 2003-01-01 28500 2004-01-01 28714 2005-01-01 33544 2006-01-01 33199 2007-01-01 35754 2008-01-01 39187 2009-01-01 31042 2010-01-01 35798 2011-01-01 35833 2012-01-01 35903 2013-01-01 38064 2014-01-01 38105 2015-01-01 38044 2016-01-01 39785 2017-01-01 40658 2018-01-01 42843 2019-01-01 45334 2020-01-01 51987 2021-01-01 47325 2022-01-01 52972