Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Orleans Parish, LA Series ID: MHICIUBLA22071A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:57 AM 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 20725 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22811 1994-01-01 . 1995-01-01 24958 1996-01-01 . 1997-01-01 27967 1998-01-01 29677 1999-01-01 28169 2000-01-01 29805 2001-01-01 28648 2002-01-01 28511 2003-01-01 29172 2004-01-01 29090 2005-01-01 31706 2006-01-01 35537 2007-01-01 38860 2008-01-01 38769 2009-01-01 37005 2010-01-01 38460 2011-01-01 36049 2012-01-01 35461 2013-01-01 37552 2014-01-01 36975 2015-01-01 40428 2016-01-01 40357 2017-01-01 39290 2018-01-01 40809 2019-01-01 47273 2020-01-01 54655 2021-01-01 48381