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 Baker County, GA Series ID: MHICIUBGA13007A052NCEN 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 19590 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22558 1994-01-01 . 1995-01-01 26748 1996-01-01 . 1997-01-01 28358 1998-01-01 29241 1999-01-01 29508 2000-01-01 31495 2001-01-01 30262 2002-01-01 28826 2003-01-01 28543 2004-01-01 27917 2005-01-01 32414 2006-01-01 32695 2007-01-01 44190 2008-01-01 35014 2009-01-01 35159 2010-01-01 37255 2011-01-01 36826 2012-01-01 32954 2013-01-01 40754 2014-01-01 45858 2015-01-01 38073 2016-01-01 39207 2017-01-01 41454 2018-01-01 42525 2019-01-01 44347 2020-01-01 50564 2021-01-01 49605 2022-01-01 55037