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 Morgan County, AL Series ID: MHICIUBAL01103A052NCEN 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 1:53 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 30575 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35426 1994-01-01 . 1995-01-01 38665 1996-01-01 . 1997-01-01 39880 1998-01-01 41255 1999-01-01 39915 2000-01-01 42388 2001-01-01 41535 2002-01-01 41601 2003-01-01 42420 2004-01-01 43516 2005-01-01 43244 2006-01-01 43326 2007-01-01 45820 2008-01-01 49666 2009-01-01 42563 2010-01-01 47699 2011-01-01 45684 2012-01-01 48246 2013-01-01 47206 2014-01-01 47799 2015-01-01 49558 2016-01-01 50974 2017-01-01 53110 2018-01-01 55902 2019-01-01 57269 2020-01-01 61136 2021-01-01 60696 2022-01-01 66156