Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for West Carroll Parish, LA
Series ID MHICILBLA22123A052NCEN
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 12004
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14421
1994-01-01 .
1995-01-01 16525
1996-01-01 .
1997-01-01 16344
1998-01-01 18487
1999-01-01 22329
2000-01-01 23548
2001-01-01 23536
2002-01-01 23603
2003-01-01 24912
2004-01-01 25008
2005-01-01 25664
2006-01-01 26937
2007-01-01 26338
2008-01-01 27814
2009-01-01 35790
2010-01-01 29558
2011-01-01 25527
2012-01-01 29674
2013-01-01 31233
2014-01-01 30401
2015-01-01 31912
2016-01-01 32167
2017-01-01 33869
2018-01-01 35467
2019-01-01 37951
2020-01-01 32742
2021-01-01 35765
2022-01-01 37913

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