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 Lower Bound of Estimate of Median Household Income for Copiah County, MS Series ID: MHICILBMS28029A052NCEN 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 1:12 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 13556 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 15576 1994-01-01 . 1995-01-01 18270 1996-01-01 . 1997-01-01 20026 1998-01-01 21656 1999-01-01 24176 2000-01-01 25190 2001-01-01 24575 2002-01-01 24593 2003-01-01 25423 2004-01-01 26585 2005-01-01 26406 2006-01-01 27995 2007-01-01 29190 2008-01-01 30959 2009-01-01 28614 2010-01-01 28431 2011-01-01 28973 2012-01-01 28289 2013-01-01 29034 2014-01-01 32367 2015-01-01 31596 2016-01-01 31021 2017-01-01 35576 2018-01-01 34741 2019-01-01 38138 2020-01-01 36345 2021-01-01 39323 2022-01-01 38520