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 Perry County, MS Series ID: MHICILBMS28111A052NCEN 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 15614 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17748 1994-01-01 . 1995-01-01 20332 1996-01-01 . 1997-01-01 21171 1998-01-01 22627 1999-01-01 25363 2000-01-01 26092 2001-01-01 25669 2002-01-01 26225 2003-01-01 27217 2004-01-01 27992 2005-01-01 27281 2006-01-01 28698 2007-01-01 32010 2008-01-01 33479 2009-01-01 29923 2010-01-01 31359 2011-01-01 31331 2012-01-01 30680 2013-01-01 31491 2014-01-01 29353 2015-01-01 34073 2016-01-01 34112 2017-01-01 34665 2018-01-01 35334 2019-01-01 38272 2020-01-01 41903 2021-01-01 40063 2022-01-01 40244