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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for La Salle Parish, LA
Series ID MHICILBLA22059A052NCEN
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 1:54 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 17979
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20197
1994-01-01 .
1995-01-01 22087
1996-01-01 .
1997-01-01 24230
1998-01-01 25787
1999-01-01 26339
2000-01-01 27187
2001-01-01 27161
2002-01-01 27586
2003-01-01 28645
2004-01-01 30276
2005-01-01 28194
2006-01-01 30662
2007-01-01 33281
2008-01-01 35491
2009-01-01 38160
2010-01-01 37659
2011-01-01 38296
2012-01-01 38776
2013-01-01 37836
2014-01-01 39431
2015-01-01 41422
2016-01-01 40496
2017-01-01 39533
2018-01-01 40778
2019-01-01 45556
2020-01-01 41961
2021-01-01 41689
2022-01-01 49950

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