Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Morehouse Parish, LA
Series ID MHICIUBLA22067A052NCEN
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 3:11 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 18031
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21334
1994-01-01 .
1995-01-01 24517
1996-01-01 .
1997-01-01 25532
1998-01-01 26125
1999-01-01 25923
2000-01-01 27817
2001-01-01 26843
2002-01-01 26771
2003-01-01 28032
2004-01-01 28099
2005-01-01 29735
2006-01-01 30978
2007-01-01 31170
2008-01-01 34272
2009-01-01 31492
2010-01-01 32295
2011-01-01 28681
2012-01-01 31455
2013-01-01 31503
2014-01-01 33173
2015-01-01 34853
2016-01-01 35029
2017-01-01 36195
2018-01-01 37660
2019-01-01 38972
2020-01-01 41325
2021-01-01 40762
2022-01-01 43727
2023-01-01 41838

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