Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for La Salle Parish, LA
Series ID MHICIUBLA22059A052NCEN
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 22520
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24766
1994-01-01 .
1995-01-01 28339
1996-01-01 .
1997-01-01 30549
1998-01-01 32055
1999-01-01 30096
2000-01-01 31703
2001-01-01 31328
2002-01-01 31766
2003-01-01 32594
2004-01-01 34506
2005-01-01 32962
2006-01-01 35536
2007-01-01 39333
2008-01-01 42360
2009-01-01 45455
2010-01-01 45467
2011-01-01 46856
2012-01-01 45480
2013-01-01 46372
2014-01-01 48847
2015-01-01 51094
2016-01-01 49842
2017-01-01 48717
2018-01-01 50706
2019-01-01 56472
2020-01-01 54651
2021-01-01 52721
2022-01-01 61316

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