Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tangipahoa Parish, LA
Series ID MHICILBLA22105A052NCEN
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 3:13 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 15920
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17802
1994-01-01 .
1995-01-01 20205
1996-01-01 .
1997-01-01 20953
1998-01-01 23071
1999-01-01 26208
2000-01-01 27202
2001-01-01 26464
2002-01-01 26750
2003-01-01 28193
2004-01-01 28871
2005-01-01 30619
2006-01-01 30478
2007-01-01 31518
2008-01-01 36675
2009-01-01 34316
2010-01-01 34788
2011-01-01 35807
2012-01-01 33634
2013-01-01 36910
2014-01-01 36949
2015-01-01 38161
2016-01-01 41189
2017-01-01 40819
2018-01-01 44463
2019-01-01 42986
2020-01-01 41425
2021-01-01 47308
2022-01-01 50931
2023-01-01 50570

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