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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Iberville Parish, LA
Series ID MHICILBLA22047A052NCEN
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 1:12 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 17444
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20617
1994-01-01 .
1995-01-01 22766
1996-01-01 .
1997-01-01 24683
1998-01-01 25962
1999-01-01 26740
2000-01-01 27715
2001-01-01 27076
2002-01-01 27287
2003-01-01 28391
2004-01-01 28852
2005-01-01 29476
2006-01-01 29686
2007-01-01 34271
2008-01-01 35041
2009-01-01 34907
2010-01-01 37855
2011-01-01 34133
2012-01-01 36108
2013-01-01 37126
2014-01-01 44130
2015-01-01 37844
2016-01-01 37579
2017-01-01 40029
2018-01-01 44050
2019-01-01 51393
2020-01-01 31584
2021-01-01 42408
2022-01-01 46942

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