Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant Parish, LA
Series ID MHICILBLA22043A052NCEN
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 1:54 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 16519
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19389
1994-01-01 .
1995-01-01 20927
1996-01-01 .
1997-01-01 23222
1998-01-01 25316
1999-01-01 27302
2000-01-01 28523
2001-01-01 28188
2002-01-01 28617
2003-01-01 29451
2004-01-01 30117
2005-01-01 31231
2006-01-01 31805
2007-01-01 33994
2008-01-01 35361
2009-01-01 35198
2010-01-01 35116
2011-01-01 35939
2012-01-01 34555
2013-01-01 38731
2014-01-01 36710
2015-01-01 39223
2016-01-01 38388
2017-01-01 39478
2018-01-01 39556
2019-01-01 44583
2020-01-01 49783
2021-01-01 46336
2022-01-01 46572

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