Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison Parish, LA Series ID: MHICIUBLA22065A052NCEN 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 14173 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17581 1994-01-01 . 1995-01-01 21608 1996-01-01 . 1997-01-01 22345 1998-01-01 23011 1999-01-01 21746 2000-01-01 22971 2001-01-01 22213 2002-01-01 22402 2003-01-01 24095 2004-01-01 24062 2005-01-01 25086 2006-01-01 25556 2007-01-01 28273 2008-01-01 28396 2009-01-01 26483 2010-01-01 27967 2011-01-01 25315 2012-01-01 26148 2013-01-01 29389 2014-01-01 29466 2015-01-01 29780 2016-01-01 30064 2017-01-01 32242 2018-01-01 31561 2019-01-01 35734 2020-01-01 38953 2021-01-01 36979 2022-01-01 37567