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 Copiah County, MS Series ID: MHICIUBMS28029A052NCEN 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 17978 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20025 1994-01-01 . 1995-01-01 24371 1996-01-01 . 1997-01-01 26171 1998-01-01 27788 1999-01-01 27544 2000-01-01 29239 2001-01-01 28190 2002-01-01 28223 2003-01-01 28834 2004-01-01 30159 2005-01-01 31603 2006-01-01 32967 2007-01-01 35256 2008-01-01 36439 2009-01-01 34650 2010-01-01 34119 2011-01-01 34969 2012-01-01 34005 2013-01-01 35086 2014-01-01 38261 2015-01-01 37850 2016-01-01 37879 2017-01-01 42638 2018-01-01 42587 2019-01-01 46460 2020-01-01 46607 2021-01-01 47619 2022-01-01 48096