Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Orleans Parish, LA
Series ID MHICILBLA22071A052NCEN
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 1:12 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 16598
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18597
1994-01-01 .
1995-01-01 19598
1996-01-01 .
1997-01-01 22419
1998-01-01 24088
1999-01-01 24817
2000-01-01 25906
2001-01-01 25153
2002-01-01 25025
2003-01-01 25882
2004-01-01 25724
2005-01-01 28726
2006-01-01 31209
2007-01-01 35836
2008-01-01 35325
2009-01-01 33482
2010-01-01 34590
2011-01-01 33653
2012-01-01 32435
2013-01-01 34928
2014-01-01 33961
2015-01-01 36852
2016-01-01 36479
2017-01-01 35524
2018-01-01 36901
2019-01-01 42911
2020-01-01 48753
2021-01-01 43995
2022-01-01 50113

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