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 Iberville Parish, LA Series ID: MHICIUBLA22047A052NCEN 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 1:11 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 21863 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25161 1994-01-01 . 1995-01-01 28919 1996-01-01 . 1997-01-01 30976 1998-01-01 32141 1999-01-01 30450 2000-01-01 32191 2001-01-01 31059 2002-01-01 31326 2003-01-01 32209 2004-01-01 32748 2005-01-01 35237 2006-01-01 34825 2007-01-01 40695 2008-01-01 42303 2009-01-01 42498 2010-01-01 42425 2011-01-01 41531 2012-01-01 42702 2013-01-01 43772 2014-01-01 50624 2015-01-01 46156 2016-01-01 45779 2017-01-01 48791 2018-01-01 51784 2019-01-01 59003 2020-01-01 42396 2021-01-01 53476 2022-01-01 59468