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 Bolivar County, MS Series ID: MHICIUBMS28011A052NCEN 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 16381 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19246 1994-01-01 . 1995-01-01 22829 1996-01-01 . 1997-01-01 24346 1998-01-01 26189 1999-01-01 24811 2000-01-01 26017 2001-01-01 24999 2002-01-01 24468 2003-01-01 25423 2004-01-01 25902 2005-01-01 26921 2006-01-01 27247 2007-01-01 28310 2008-01-01 31138 2009-01-01 29363 2010-01-01 31296 2011-01-01 31508 2012-01-01 31364 2013-01-01 31919 2014-01-01 31827 2015-01-01 33316 2016-01-01 32352 2017-01-01 37530 2018-01-01 35791 2019-01-01 33328 2020-01-01 41104 2021-01-01 39872 2022-01-01 43389