Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Vernon Parish, LA
Series ID MHICILBLA22115A052NCEN
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 16778
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21175
1994-01-01 .
1995-01-01 21236
1996-01-01 .
1997-01-01 25799
1998-01-01 26987
1999-01-01 28778
2000-01-01 30434
2001-01-01 30746
2002-01-01 31498
2003-01-01 31578
2004-01-01 33213
2005-01-01 34977
2006-01-01 33497
2007-01-01 39556
2008-01-01 38603
2009-01-01 39575
2010-01-01 40799
2011-01-01 42930
2012-01-01 41103
2013-01-01 39371
2014-01-01 44685
2015-01-01 40758
2016-01-01 43561
2017-01-01 41738
2018-01-01 43544
2019-01-01 48074
2020-01-01 52350
2021-01-01 48569
2022-01-01 47452

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