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 Mobile County, AL Series ID: MHICIUBAL01097A052NCEN 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 12:51 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 23949 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27675 1994-01-01 . 1995-01-01 30594 1996-01-01 . 1997-01-01 32742 1998-01-01 34218 1999-01-01 34447 2000-01-01 37145 2001-01-01 35271 2002-01-01 34549 2003-01-01 34863 2004-01-01 35246 2005-01-01 37643 2006-01-01 39846 2007-01-01 39017 2008-01-01 42246 2009-01-01 41331 2010-01-01 41499 2011-01-01 43525 2012-01-01 41783 2013-01-01 44081 2014-01-01 44959 2015-01-01 44774 2016-01-01 47328 2017-01-01 48271 2018-01-01 45923 2019-01-01 51239 2020-01-01 52963 2021-01-01 52132 2022-01-01 56526