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 Pointe Coupee Parish, LA Series ID: MHICIUBLA22077A052NCEN 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 21861 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24832 1994-01-01 . 1995-01-01 28374 1996-01-01 . 1997-01-01 30690 1998-01-01 32540 1999-01-01 32241 2000-01-01 34125 2001-01-01 33211 2002-01-01 33010 2003-01-01 33950 2004-01-01 34356 2005-01-01 36054 2006-01-01 37474 2007-01-01 41876 2008-01-01 43032 2009-01-01 42254 2010-01-01 44902 2011-01-01 43885 2012-01-01 44925 2013-01-01 46265 2014-01-01 48651 2015-01-01 46501 2016-01-01 46676 2017-01-01 50599 2018-01-01 51454 2019-01-01 53806 2020-01-01 56780 2021-01-01 57960 2022-01-01 62168