Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for East Carroll Parish, LA
Series ID MHICILBLA22035A052NCEN
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 9165
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 9434
1994-01-01 .
1995-01-01 11213
1996-01-01 .
1997-01-01 11129
1998-01-01 13003
1999-01-01 17946
2000-01-01 19030
2001-01-01 18345
2002-01-01 17636
2003-01-01 19105
2004-01-01 19293
2005-01-01 20214
2006-01-01 20282
2007-01-01 21454
2008-01-01 22619
2009-01-01 20779
2010-01-01 23158
2011-01-01 22637
2012-01-01 22268
2013-01-01 24206
2014-01-01 22922
2015-01-01 23591
2016-01-01 22984
2017-01-01 23450
2018-01-01 24886
2019-01-01 26274
2020-01-01 27745
2021-01-01 26498
2022-01-01 27030

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