Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Iberville Parish, LA
Series ID MHICIUBLA22047A052NCEN
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 21863
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25161
1994-01-01 .
1995-01-01 28919
1996-01-01 .
1997-01-01 30976
1998-01-01 32141
1999-01-01 30450
2000-01-01 32191
2001-01-01 31059
2002-01-01 31326
2003-01-01 32209
2004-01-01 32748
2005-01-01 35237
2006-01-01 34825
2007-01-01 40695
2008-01-01 42303
2009-01-01 42498
2010-01-01 42425
2011-01-01 41531
2012-01-01 42702
2013-01-01 43772
2014-01-01 50624
2015-01-01 46156
2016-01-01 45779
2017-01-01 48791
2018-01-01 51784
2019-01-01 59003
2020-01-01 42396
2021-01-01 53476
2022-01-01 59468

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