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 Calcasieu Parish, LA Series ID: MHICIUBLA22019A052NCEN 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 27002 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30912 1994-01-01 . 1995-01-01 34477 1996-01-01 . 1997-01-01 37099 1998-01-01 38427 1999-01-01 37145 2000-01-01 38998 2001-01-01 37845 2002-01-01 37688 2003-01-01 38927 2004-01-01 39060 2005-01-01 38147 2006-01-01 41568 2007-01-01 44444 2008-01-01 47294 2009-01-01 46599 2010-01-01 43099 2011-01-01 43298 2012-01-01 46661 2013-01-01 46871 2014-01-01 48603 2015-01-01 49149 2016-01-01 49929 2017-01-01 55060 2018-01-01 53709 2019-01-01 56956 2020-01-01 62059 2021-01-01 63298 2022-01-01 66044