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 Lamar County, GA Series ID: MHICIUBGA13171A052NCEN 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 23653 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27920 1994-01-01 . 1995-01-01 31702 1996-01-01 . 1997-01-01 33359 1998-01-01 34125 1999-01-01 36072 2000-01-01 38665 2001-01-01 37990 2002-01-01 37827 2003-01-01 38651 2004-01-01 39610 2005-01-01 41897 2006-01-01 42047 2007-01-01 44981 2008-01-01 45737 2009-01-01 44243 2010-01-01 42683 2011-01-01 44481 2012-01-01 42522 2013-01-01 44839 2014-01-01 44622 2015-01-01 46529 2016-01-01 49133 2017-01-01 44623 2018-01-01 53444 2019-01-01 62095 2020-01-01 63109 2021-01-01 62791 2022-01-01 68730