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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Concordia Parish, LA
Series ID MHICILBLA22029A052NCEN
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 14007
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16817
1994-01-01 .
1995-01-01 18676
1996-01-01 .
1997-01-01 20048
1998-01-01 20514
1999-01-01 21498
2000-01-01 22107
2001-01-01 21647
2002-01-01 21586
2003-01-01 22953
2004-01-01 23468
2005-01-01 22581
2006-01-01 24735
2007-01-01 25729
2008-01-01 26893
2009-01-01 25622
2010-01-01 27232
2011-01-01 26349
2012-01-01 26989
2013-01-01 27719
2014-01-01 28573
2015-01-01 29622
2016-01-01 29326
2017-01-01 30225
2018-01-01 32421
2019-01-01 32061
2020-01-01 32140
2021-01-01 32430
2022-01-01 36034

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