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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Louisiana

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Louisiana
Series ID MHICILBLA22000A052NCEN
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 12:51 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 21664
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23979
1994-01-01 .
1995-01-01 25783
1996-01-01 27059
1997-01-01 28582
1998-01-01 29185
1999-01-01 30493
2000-01-01 30341
2001-01-01 31490
2002-01-01 31824
2003-01-01 32351
2004-01-01 33644
2005-01-01 35997
2006-01-01 38547
2007-01-01 40421
2008-01-01 43018
2009-01-01 41862
2010-01-01 41852
2011-01-01 41290
2012-01-01 42346
2013-01-01 43412
2014-01-01 43971
2015-01-01 45174
2016-01-01 44621
2017-01-01 45663
2018-01-01 47301
2019-01-01 50529
2020-01-01 50527
2021-01-01 51348
2022-01-01 54669

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