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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lafayette Parish, LA
Series ID MHICILBLA22055A052NCEN
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 23223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27351
1994-01-01 .
1995-01-01 28817
1996-01-01 .
1997-01-01 32588
1998-01-01 34439
1999-01-01 33881
2000-01-01 35052
2001-01-01 34985
2002-01-01 35616
2003-01-01 36780
2004-01-01 37047
2005-01-01 39170
2006-01-01 39298
2007-01-01 42080
2008-01-01 45630
2009-01-01 45976
2010-01-01 45498
2011-01-01 43492
2012-01-01 45275
2013-01-01 51180
2014-01-01 49439
2015-01-01 50333
2016-01-01 47868
2017-01-01 49067
2018-01-01 53766
2019-01-01 56498
2020-01-01 52865
2021-01-01 54612
2022-01-01 54129

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