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 St. James Parish, LA Series ID: MHICILBLA22093A052NCEN 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 1:12 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 21967 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23454 1994-01-01 . 1995-01-01 25729 1996-01-01 . 1997-01-01 27753 1998-01-01 29562 1999-01-01 31584 2000-01-01 32910 2001-01-01 32172 2002-01-01 32446 2003-01-01 34139 2004-01-01 34683 2005-01-01 36106 2006-01-01 37038 2007-01-01 40515 2008-01-01 40810 2009-01-01 42237 2010-01-01 41517 2011-01-01 39388 2012-01-01 42526 2013-01-01 44678 2014-01-01 43084 2015-01-01 47588 2016-01-01 43014 2017-01-01 47717 2018-01-01 47983 2019-01-01 51222 2020-01-01 49375 2021-01-01 53519 2022-01-01 61242