Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Avoyelles Parish, LA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Avoyelles Parish, LA
Series ID MHICILBLA22009A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 (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.
DATE VALUE
1989-01-01 12811
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14411
1994-01-01 .
1995-01-01 17051
1996-01-01 .
1997-01-01 17860
1998-01-01 20068
1999-01-01 22485
2000-01-01 23104
2001-01-01 22712
2002-01-01 22763
2003-01-01 23900
2004-01-01 24301
2005-01-01 24507
2006-01-01 24926
2007-01-01 26830
2008-01-01 30045
2009-01-01 27999
2010-01-01 29209
2011-01-01 28921
2012-01-01 29842
2013-01-01 30186
2014-01-01 30779
2015-01-01 31448
2016-01-01 31482
2017-01-01 32867
2018-01-01 34552
2019-01-01 33722
2020-01-01 34681
2021-01-01 35833
2022-01-01 36896
2023-01-01 39452
2024-01-01 40683

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