Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Butts County, GA Series ID: MHICIUBGA13035A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:57 AM 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 24340 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28458 1994-01-01 . 1995-01-01 33123 1996-01-01 . 1997-01-01 35241 1998-01-01 36863 1999-01-01 39166 2000-01-01 41929 2001-01-01 40520 2002-01-01 40829 2003-01-01 41657 2004-01-01 43199 2005-01-01 46286 2006-01-01 49257 2007-01-01 50878 2008-01-01 50023 2009-01-01 47294 2010-01-01 47652 2011-01-01 43512 2012-01-01 46740 2013-01-01 47303 2014-01-01 45874 2015-01-01 48570 2016-01-01 49338 2017-01-01 50706 2018-01-01 53767 2019-01-01 52004 2020-01-01 59934 2021-01-01 67649