Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Webster Parish, LA
Series ID MHICILBLA22119A052NCEN
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 18258
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20088
1994-01-01 .
1995-01-01 21106
1996-01-01 .
1997-01-01 23296
1998-01-01 24734
1999-01-01 26342
2000-01-01 27238
2001-01-01 26668
2002-01-01 26747
2003-01-01 27729
2004-01-01 28467
2005-01-01 28026
2006-01-01 30606
2007-01-01 31114
2008-01-01 33020
2009-01-01 32096
2010-01-01 32884
2011-01-01 32550
2012-01-01 33176
2013-01-01 32630
2014-01-01 32666
2015-01-01 31681
2016-01-01 29909
2017-01-01 30345
2018-01-01 31143
2019-01-01 33825
2020-01-01 36712
2021-01-01 36652
2022-01-01 38463

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