Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cameron Parish, LA
Series ID MHICILBLA22023A052NCEN
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 23155
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27020
1994-01-01 .
1995-01-01 27558
1996-01-01 .
1997-01-01 33482
1998-01-01 34333
1999-01-01 32225
2000-01-01 33403
2001-01-01 33478
2002-01-01 32991
2003-01-01 33890
2004-01-01 33857
2005-01-01 34817
2006-01-01 35384
2007-01-01 36369
2008-01-01 45134
2009-01-01 51566
2010-01-01 42668
2011-01-01 50598
2012-01-01 45842
2013-01-01 46803
2014-01-01 55359
2015-01-01 50646
2016-01-01 47284
2017-01-01 49825
2018-01-01 50918
2019-01-01 53129
2020-01-01 57182
2021-01-01 54754
2022-01-01 55328

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