Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lafourche Parish, LA
Series ID MHICIUBLA22057A052NCEN
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 1:52 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 24947
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28126
1994-01-01 .
1995-01-01 32450
1996-01-01 .
1997-01-01 35951
1998-01-01 38652
1999-01-01 36768
2000-01-01 38776
2001-01-01 38533
2002-01-01 39516
2003-01-01 40840
2004-01-01 40918
2005-01-01 42781
2006-01-01 43420
2007-01-01 44060
2008-01-01 52673
2009-01-01 51602
2010-01-01 52081
2011-01-01 51556
2012-01-01 52901
2013-01-01 56308
2014-01-01 51436
2015-01-01 56300
2016-01-01 55279
2017-01-01 57360
2018-01-01 57146
2019-01-01 58909
2020-01-01 63893
2021-01-01 64053
2022-01-01 63790

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