Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson Parish, LA
Series ID MHICILBLA22049A052NCEN
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 17518
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20992
1994-01-01 .
1995-01-01 21926
1996-01-01 .
1997-01-01 23435
1998-01-01 25098
1999-01-01 26900
2000-01-01 27719
2001-01-01 27456
2002-01-01 27888
2003-01-01 28879
2004-01-01 29741
2005-01-01 28907
2006-01-01 31993
2007-01-01 31805
2008-01-01 32579
2009-01-01 32143
2010-01-01 33016
2011-01-01 32948
2012-01-01 33576
2013-01-01 32396
2014-01-01 33219
2015-01-01 37277
2016-01-01 36926
2017-01-01 35011
2018-01-01 36419
2019-01-01 38300
2020-01-01 35561
2021-01-01 40144
2022-01-01 38407

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