Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caddo Parish, LA
Series ID MHICIUBLA22017A052NCEN
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 1:11 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 25148
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28430
1994-01-01 .
1995-01-01 31511
1996-01-01 .
1997-01-01 32538
1998-01-01 33584
1999-01-01 32392
2000-01-01 34616
2001-01-01 33654
2002-01-01 33346
2003-01-01 34682
2004-01-01 35257
2005-01-01 35431
2006-01-01 34281
2007-01-01 37571
2008-01-01 38250
2009-01-01 39893
2010-01-01 40217
2011-01-01 41988
2012-01-01 42336
2013-01-01 41812
2014-01-01 42688
2015-01-01 43166
2016-01-01 40821
2017-01-01 39969
2018-01-01 43297
2019-01-01 49217
2020-01-01 46971
2021-01-01 48114
2022-01-01 50611

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