Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Winn Parish, LA Series ID: MHICILBLA22127A052NCEN 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 2019-01-01 Last Updated: 2020-12-11 1:21 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 15409 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 18585 1994-01-01 . 1995-01-01 20292 1996-01-01 . 1997-01-01 21656 1998-01-01 22737 1999-01-01 23825 2000-01-01 24138 2001-01-01 23588 2002-01-01 23705 2003-01-01 24925 2004-01-01 25974 2005-01-01 26404 2006-01-01 28789 2007-01-01 29175 2008-01-01 28150 2009-01-01 29328 2010-01-01 30383 2011-01-01 30500 2012-01-01 32576 2013-01-01 32090 2014-01-01 32744 2015-01-01 32516 2016-01-01 33659 2017-01-01 35312 2018-01-01 36045 2019-01-01 38085