Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for East Baton Rouge Parish, LA
Series ID MHICIUBLA22033A052NCEN
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 1:11 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 30277
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33817
1994-01-01 .
1995-01-01 36489
1996-01-01 .
1997-01-01 38388
1998-01-01 39481
1999-01-01 38252
2000-01-01 40685
2001-01-01 39686
2002-01-01 39359
2003-01-01 39604
2004-01-01 39581
2005-01-01 41664
2006-01-01 45375
2007-01-01 43365
2008-01-01 48241
2009-01-01 46646
2010-01-01 46993
2011-01-01 47891
2012-01-01 49013
2013-01-01 50060
2014-01-01 49142
2015-01-01 51723
2016-01-01 51956
2017-01-01 57148
2018-01-01 55475
2019-01-01 59037
2020-01-01 61338
2021-01-01 53505
2022-01-01 63762

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