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 Rankin County, MS Series ID: MHICIUBMS28121A052NCEN 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 1:52 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 31314 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 37194 1994-01-01 . 1995-01-01 42695 1996-01-01 . 1997-01-01 44618 1998-01-01 45495 1999-01-01 46133 2000-01-01 48386 2001-01-01 47284 2002-01-01 48052 2003-01-01 49550 2004-01-01 50601 2005-01-01 51525 2006-01-01 52704 2007-01-01 58087 2008-01-01 57892 2009-01-01 55288 2010-01-01 54003 2011-01-01 62788 2012-01-01 59152 2013-01-01 59478 2014-01-01 61992 2015-01-01 62335 2016-01-01 65548 2017-01-01 69850 2018-01-01 69213 2019-01-01 70873 2020-01-01 76168 2021-01-01 76185 2022-01-01 77185