Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson Davis Parish, LA
Series ID MHICILBLA22053A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 16915
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19296
1994-01-01 .
1995-01-01 21180
1996-01-01 .
1997-01-01 23542
1998-01-01 24904
1999-01-01 26110
2000-01-01 26964
2001-01-01 27127
2002-01-01 27107
2003-01-01 28678
2004-01-01 29518
2005-01-01 29949
2006-01-01 29785
2007-01-01 32871
2008-01-01 35269
2009-01-01 35728
2010-01-01 35725
2011-01-01 35377
2012-01-01 34501
2013-01-01 37476
2014-01-01 34664
2015-01-01 39315
2016-01-01 37875
2017-01-01 38870
2018-01-01 39753
2019-01-01 42199
2020-01-01 40549
2021-01-01 43029
2022-01-01 46297
2023-01-01 57257

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