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 Brooks County, GA Series ID: MHICILBGA13027A052NCEN 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 13005 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17318 1994-01-01 . 1995-01-01 20407 1996-01-01 . 1997-01-01 22758 1998-01-01 23406 1999-01-01 23999 2000-01-01 24858 2001-01-01 23791 2002-01-01 23316 2003-01-01 24685 2004-01-01 24404 2005-01-01 25609 2006-01-01 27041 2007-01-01 29320 2008-01-01 31857 2009-01-01 28491 2010-01-01 29171 2011-01-01 26787 2012-01-01 29372 2013-01-01 31418 2014-01-01 29702 2015-01-01 33950 2016-01-01 30370 2017-01-01 32151 2018-01-01 32430 2019-01-01 35432 2020-01-01 36734 2021-01-01 35887 2022-01-01 38783