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 Allen Parish, LA Series ID: MHICIUBLA22003A052NCEN 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 19740 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21858 1994-01-01 . 1995-01-01 26607 1996-01-01 . 1997-01-01 28126 1998-01-01 30667 1999-01-01 29220 2000-01-01 30638 2001-01-01 29549 2002-01-01 29840 2003-01-01 30450 2004-01-01 31010 2005-01-01 33886 2006-01-01 32829 2007-01-01 37927 2008-01-01 42178 2009-01-01 37615 2010-01-01 38103 2011-01-01 37854 2012-01-01 39514 2013-01-01 41487 2014-01-01 38879 2015-01-01 45451 2016-01-01 45645 2017-01-01 47058 2018-01-01 48678 2019-01-01 52637 2020-01-01 54805 2021-01-01 47398 2022-01-01 56943