Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calcasieu Parish, LA Series ID: MHICILBLA22019A052NCEN 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 2018-01-01 Last Updated: 2019-12-13 11:25 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 22615 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26597 1994-01-01 . 1995-01-01 28743 1996-01-01 . 1997-01-01 31235 1998-01-01 32624 1999-01-01 32792 2000-01-01 33802 2001-01-01 33188 2002-01-01 33027 2003-01-01 34499 2004-01-01 34618 2005-01-01 33953 2006-01-01 37087 2007-01-01 39592 2008-01-01 42359 2009-01-01 40469 2010-01-01 38757 2011-01-01 38832 2012-01-01 41953 2013-01-01 40687 2014-01-01 43355 2015-01-01 43897 2016-01-01 44175 2017-01-01 49754 2018-01-01 47353