Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calcasieu Parish, LA
Series ID MHICILBLA22019A052NCEN
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 22615
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26597
1994-01-01 .
1995-01-01 28743
1996-01-01 .
1997-01-01 31235
1998-01-01 32624
1999-01-01 32792
2000-01-01 33802
2001-01-01 33188
2002-01-01 33027
2003-01-01 34499
2004-01-01 34618
2005-01-01 33953
2006-01-01 37087
2007-01-01 39592
2008-01-01 42359
2009-01-01 40469
2010-01-01 38757
2011-01-01 38832
2012-01-01 41953
2013-01-01 40687
2014-01-01 43355
2015-01-01 43897
2016-01-01 44175
2017-01-01 49754
2018-01-01 47353
2019-01-01 49144
2020-01-01 52445
2021-01-01 52036
2022-01-01 57550
2023-01-01 59629

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