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 Lower Bound of Estimate of Median Household Income for Concordia Parish, LA Series ID: MHICILBLA22029A052NCEN 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 1:54 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 14007 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 16817 1994-01-01 . 1995-01-01 18676 1996-01-01 . 1997-01-01 20048 1998-01-01 20514 1999-01-01 21498 2000-01-01 22107 2001-01-01 21647 2002-01-01 21586 2003-01-01 22953 2004-01-01 23468 2005-01-01 22581 2006-01-01 24735 2007-01-01 25729 2008-01-01 26893 2009-01-01 25622 2010-01-01 27232 2011-01-01 26349 2012-01-01 26989 2013-01-01 27719 2014-01-01 28573 2015-01-01 29622 2016-01-01 29326 2017-01-01 30225 2018-01-01 32421 2019-01-01 32061 2020-01-01 32140 2021-01-01 32430 2022-01-01 36034