Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lexington County, SC Series ID: MHICILBSC45063A052NCEN 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 9:58 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 30026 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35347 1994-01-01 . 1995-01-01 38458 1996-01-01 . 1997-01-01 39748 1998-01-01 41358 1999-01-01 40860 2000-01-01 42693 2001-01-01 42297 2002-01-01 42299 2003-01-01 43154 2004-01-01 43813 2005-01-01 44649 2006-01-01 47654 2007-01-01 49176 2008-01-01 49929 2009-01-01 49752 2010-01-01 49774 2011-01-01 48489 2012-01-01 50416 2013-01-01 51864 2014-01-01 51307 2015-01-01 53260 2016-01-01 55075 2017-01-01 57926 2018-01-01 57764 2019-01-01 59537 2020-01-01 58724 2021-01-01 63273