Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Concordia Parish, LA
Series ID MHICIUBLA22029A052NCEN
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 1:52 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 18773
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21464
1994-01-01 .
1995-01-01 24866
1996-01-01 .
1997-01-01 26477
1998-01-01 26660
1999-01-01 24561
2000-01-01 25762
2001-01-01 24965
2002-01-01 24891
2003-01-01 26109
2004-01-01 26703
2005-01-01 26926
2006-01-01 29457
2007-01-01 31460
2008-01-01 32720
2009-01-01 31418
2010-01-01 32550
2011-01-01 32397
2012-01-01 32567
2013-01-01 33145
2014-01-01 35097
2015-01-01 36514
2016-01-01 36044
2017-01-01 37521
2018-01-01 39259
2019-01-01 40491
2020-01-01 42952
2021-01-01 41212
2022-01-01 46168

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