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 Long County, GA Series ID: MHICILBGA13183A052NCEN 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 1:12 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 17828 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20977 1994-01-01 . 1995-01-01 22770 1996-01-01 . 1997-01-01 24271 1998-01-01 25218 1999-01-01 26673 2000-01-01 28100 2001-01-01 27311 2002-01-01 27078 2003-01-01 27365 2004-01-01 29863 2005-01-01 30262 2006-01-01 31088 2007-01-01 33856 2008-01-01 34243 2009-01-01 33786 2010-01-01 34636 2011-01-01 31974 2012-01-01 35520 2013-01-01 38024 2014-01-01 39728 2015-01-01 38335 2016-01-01 40314 2017-01-01 43670 2018-01-01 43328 2019-01-01 47108 2020-01-01 45528 2021-01-01 49412 2022-01-01 66345