Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lafayette Parish, LA Series ID: MHICIUBLA22055A052NCEN 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 10:39 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 27566 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31704 1994-01-01 . 1995-01-01 34529 1996-01-01 . 1997-01-01 38504 1998-01-01 40319 1999-01-01 38418 2000-01-01 40490 2001-01-01 39960 2002-01-01 40688 2003-01-01 41557 2004-01-01 41832 2005-01-01 42530 2006-01-01 44959 2007-01-01 47057 2008-01-01 50607 2009-01-01 49826 2010-01-01 51092 2011-01-01 50784 2012-01-01 51489 2013-01-01 58776 2014-01-01 53241 2015-01-01 54489 2016-01-01 54382 2017-01-01 56587 2018-01-01 61876 2019-01-01 63608 2020-01-01 65859 2021-01-01 63512