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 Union County, SC Series ID: MHICIUBSC45087A052NCEN 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 1:51 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 24149 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26712 1994-01-01 . 1995-01-01 29480 1996-01-01 . 1997-01-01 31790 1998-01-01 32684 1999-01-01 32253 2000-01-01 34318 2001-01-01 33024 2002-01-01 32997 2003-01-01 33609 2004-01-01 34235 2005-01-01 36082 2006-01-01 35422 2007-01-01 38873 2008-01-01 37786 2009-01-01 35059 2010-01-01 36963 2011-01-01 36257 2012-01-01 35715 2013-01-01 36872 2014-01-01 40736 2015-01-01 38906 2016-01-01 41766 2017-01-01 44476 2018-01-01 44094 2019-01-01 47460 2020-01-01 52998 2021-01-01 48435 2022-01-01 51425