Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln Parish, LA
Series ID MHICILBLA22061A052NCEN
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 19923
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22511
1994-01-01 .
1995-01-01 24239
1996-01-01 .
1997-01-01 24948
1998-01-01 26798
1999-01-01 25956
2000-01-01 26362
2001-01-01 25768
2002-01-01 25783
2003-01-01 26661
2004-01-01 27180
2005-01-01 27684
2006-01-01 28502
2007-01-01 29217
2008-01-01 33889
2009-01-01 31687
2010-01-01 33147
2011-01-01 31524
2012-01-01 33064
2013-01-01 31586
2014-01-01 30777
2015-01-01 34389
2016-01-01 35313
2017-01-01 35908
2018-01-01 33273
2019-01-01 36757
2020-01-01 39002
2021-01-01 35915
2022-01-01 39182

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