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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ascension Parish, LA
Series ID MHICILBLA22005A052NCEN
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 1:12 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 26169
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29566
1994-01-01 .
1995-01-01 34262
1996-01-01 .
1997-01-01 36144
1998-01-01 38667
1999-01-01 40555
2000-01-01 42132
2001-01-01 41979
2002-01-01 43159
2003-01-01 45037
2004-01-01 45826
2005-01-01 45017
2006-01-01 50201
2007-01-01 52155
2008-01-01 57289
2009-01-01 56860
2010-01-01 57154
2011-01-01 58994
2012-01-01 61610
2013-01-01 65358
2014-01-01 62671
2015-01-01 69917
2016-01-01 69148
2017-01-01 67125
2018-01-01 72524
2019-01-01 76884
2020-01-01 78493
2021-01-01 69447
2022-01-01 75310

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