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 Pearl River County, MS Series ID: MHICILBMS28109A052NCEN 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 1:54 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 17016 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19900 1994-01-01 . 1995-01-01 22669 1996-01-01 . 1997-01-01 23991 1998-01-01 25630 1999-01-01 27894 2000-01-01 28946 2001-01-01 28273 2002-01-01 28724 2003-01-01 30181 2004-01-01 30534 2005-01-01 31881 2006-01-01 31793 2007-01-01 34095 2008-01-01 35935 2009-01-01 34733 2010-01-01 35974 2011-01-01 34598 2012-01-01 32950 2013-01-01 38808 2014-01-01 34941 2015-01-01 39369 2016-01-01 39323 2017-01-01 43605 2018-01-01 40707 2019-01-01 41266 2020-01-01 43982 2021-01-01 45360 2022-01-01 51135