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 Echols County, GA Series ID: MHICILBGA13101A052NCEN 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 18373 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21237 1994-01-01 . 1995-01-01 23840 1996-01-01 . 1997-01-01 26981 1998-01-01 27201 1999-01-01 24545 2000-01-01 24728 2001-01-01 24437 2002-01-01 24168 2003-01-01 24716 2004-01-01 24900 2005-01-01 28163 2006-01-01 27587 2007-01-01 29105 2008-01-01 32663 2009-01-01 25939 2010-01-01 29550 2011-01-01 29253 2012-01-01 29425 2013-01-01 31554 2014-01-01 30783 2015-01-01 30784 2016-01-01 31999 2017-01-01 32460 2018-01-01 34491 2019-01-01 35482 2020-01-01 38769 2021-01-01 37157 2022-01-01 41418