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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for De Soto Parish, LA
Series ID MHICILBLA22031A052NCEN
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 15625
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17142
1994-01-01 .
1995-01-01 19470
1996-01-01 .
1997-01-01 21479
1998-01-01 23536
1999-01-01 25763
2000-01-01 26910
2001-01-01 26710
2002-01-01 26650
2003-01-01 28050
2004-01-01 28991
2005-01-01 29089
2006-01-01 32850
2007-01-01 31956
2008-01-01 34979
2009-01-01 32001
2010-01-01 33994
2011-01-01 37131
2012-01-01 34872
2013-01-01 35661
2014-01-01 37620
2015-01-01 37690
2016-01-01 39319
2017-01-01 36783
2018-01-01 40074
2019-01-01 42008
2020-01-01 37324
2021-01-01 43028
2022-01-01 47930

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