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 Cobb County, GA Series ID: MHICIUBGA13067A052NCEN 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 1:11 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 43525 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 47602 1994-01-01 . 1995-01-01 52701 1996-01-01 . 1997-01-01 55829 1998-01-01 57252 1999-01-01 58297 2000-01-01 61382 2001-01-01 60657 2002-01-01 58292 2003-01-01 56466 2004-01-01 56420 2005-01-01 64011 2006-01-01 62678 2007-01-01 66301 2008-01-01 71794 2009-01-01 65180 2010-01-01 61656 2011-01-01 61036 2012-01-01 64543 2013-01-01 64790 2014-01-01 68946 2015-01-01 72104 2016-01-01 73048 2017-01-01 78217 2018-01-01 81470 2019-01-01 82350 2020-01-01 85237 2021-01-01 91143 2022-01-01 99140