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. Tammany Parish, LA Series ID: MHICILBLA22103A052NCEN 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 29548 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34040 1994-01-01 . 1995-01-01 38347 1996-01-01 . 1997-01-01 40699 1998-01-01 43034 1999-01-01 44198 2000-01-01 46929 2001-01-01 46276 2002-01-01 47206 2003-01-01 48236 2004-01-01 48058 2005-01-01 51073 2006-01-01 53429 2007-01-01 56068 2008-01-01 53730 2009-01-01 55881 2010-01-01 57031 2011-01-01 54428 2012-01-01 54434 2013-01-01 58236 2014-01-01 59998 2015-01-01 61360 2016-01-01 61665 2017-01-01 64298 2018-01-01 62755 2019-01-01 65973 2020-01-01 62712 2021-01-01 64452 2022-01-01 72814