Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for East Baton Rouge Parish, LA
Series ID MHICILBLA22033A052NCEN
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 26081
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29587
1994-01-01 .
1995-01-01 31125
1996-01-01 .
1997-01-01 32884
1998-01-01 33968
1999-01-01 33835
2000-01-01 35385
2001-01-01 34842
2002-01-01 34551
2003-01-01 35124
2004-01-01 35078
2005-01-01 37658
2006-01-01 41709
2007-01-01 40981
2008-01-01 44885
2009-01-01 42793
2010-01-01 42829
2011-01-01 43957
2012-01-01 45765
2013-01-01 45480
2014-01-01 44520
2015-01-01 49055
2016-01-01 48946
2017-01-01 51840
2018-01-01 50415
2019-01-01 53569
2020-01-01 52860
2021-01-01 49987
2022-01-01 58990
2023-01-01 56686

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