Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morehouse Parish, LA
Series ID MHICILBLA22067A052NCEN
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 13448
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16750
1994-01-01 .
1995-01-01 18313
1996-01-01 .
1997-01-01 19224
1998-01-01 19925
1999-01-01 22716
2000-01-01 23920
2001-01-01 23342
2002-01-01 23266
2003-01-01 24678
2004-01-01 24718
2005-01-01 24712
2006-01-01 26145
2007-01-01 26525
2008-01-01 30064
2009-01-01 26326
2010-01-01 26757
2011-01-01 24875
2012-01-01 26153
2013-01-01 26399
2014-01-01 28099
2015-01-01 28701
2016-01-01 29509
2017-01-01 29781
2018-01-01 30386
2019-01-01 30872
2020-01-01 31255
2021-01-01 33234
2022-01-01 35259

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