Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Orleans Parish, LA
Series ID MHICIUBLA22071A052NCEN
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 20725
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22811
1994-01-01 .
1995-01-01 24958
1996-01-01 .
1997-01-01 27967
1998-01-01 29677
1999-01-01 28169
2000-01-01 29805
2001-01-01 28648
2002-01-01 28511
2003-01-01 29172
2004-01-01 29090
2005-01-01 31706
2006-01-01 35537
2007-01-01 38860
2008-01-01 38769
2009-01-01 37005
2010-01-01 38460
2011-01-01 36049
2012-01-01 35461
2013-01-01 37552
2014-01-01 36975
2015-01-01 40428
2016-01-01 40357
2017-01-01 39290
2018-01-01 40809
2019-01-01 47273
2020-01-01 54655
2021-01-01 48381
2022-01-01 53713

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