Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison Parish, LA
Series ID MHICILBLA22065A052NCEN
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 2:33 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 9640
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13056
1994-01-01 .
1995-01-01 15270
1996-01-01 .
1997-01-01 15566
1998-01-01 16702
1999-01-01 18986
2000-01-01 19709
2001-01-01 19266
2002-01-01 19442
2003-01-01 21120
2004-01-01 21130
2005-01-01 20815
2006-01-01 21313
2007-01-01 23437
2008-01-01 23180
2009-01-01 22488
2010-01-01 23163
2011-01-01 21165
2012-01-01 21526
2013-01-01 24101
2014-01-01 23998
2015-01-01 24670
2016-01-01 24548
2017-01-01 26772
2018-01-01 25343
2019-01-01 28724
2020-01-01 28729
2021-01-01 30259
2022-01-01 29239
2023-01-01 30371

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