Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for East Carroll Parish, LA
Series ID MHICIUBLA22035A052NCEN
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 13977
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14615
1994-01-01 .
1995-01-01 17450
1996-01-01 .
1997-01-01 18670
1998-01-01 19906
1999-01-01 20635
2000-01-01 22227
2001-01-01 21285
2002-01-01 20487
2003-01-01 21809
2004-01-01 22041
2005-01-01 24306
2006-01-01 24479
2007-01-01 26323
2008-01-01 27581
2009-01-01 25594
2010-01-01 27726
2011-01-01 27689
2012-01-01 27108
2013-01-01 29356
2014-01-01 27882
2015-01-01 29059
2016-01-01 28636
2017-01-01 29412
2018-01-01 30542
2019-01-01 33612
2020-01-01 37881
2021-01-01 34078
2022-01-01 34346

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