Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for West Baton Rouge Parish, LA
Series ID MHICILBLA22121A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 22182
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25183
1994-01-01 .
1995-01-01 27742
1996-01-01 .
1997-01-01 30087
1998-01-01 31275
1999-01-01 33214
2000-01-01 34885
2001-01-01 34312
2002-01-01 34029
2003-01-01 34460
2004-01-01 34845
2005-01-01 35708
2006-01-01 36836
2007-01-01 39223
2008-01-01 41101
2009-01-01 40646
2010-01-01 42561
2011-01-01 41505
2012-01-01 42996
2013-01-01 44566
2014-01-01 46535
2015-01-01 50041
2016-01-01 49152
2017-01-01 60409
2018-01-01 53003
2019-01-01 59136
2020-01-01 55420
2021-01-01 61403
2022-01-01 63687
2023-01-01 64662

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