Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Vermilion Parish, LA
Series ID MHICILBLA22113A052NCEN
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 18636
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20485
1994-01-01 .
1995-01-01 21980
1996-01-01 .
1997-01-01 24668
1998-01-01 27028
1999-01-01 27418
2000-01-01 28307
2001-01-01 28248
2002-01-01 28231
2003-01-01 29809
2004-01-01 30605
2005-01-01 30400
2006-01-01 30944
2007-01-01 34757
2008-01-01 38237
2009-01-01 35386
2010-01-01 40712
2011-01-01 36115
2012-01-01 42694
2013-01-01 39875
2014-01-01 41397
2015-01-01 43234
2016-01-01 40307
2017-01-01 47414
2018-01-01 44457
2019-01-01 45758
2020-01-01 46452
2021-01-01 47352
2022-01-01 44476

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