Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for East Feliciana Parish, LA
Series ID MHICILBLA22037A052NCEN
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 17659
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20639
1994-01-01 .
1995-01-01 22640
1996-01-01 .
1997-01-01 23705
1998-01-01 25444
1999-01-01 27788
2000-01-01 29033
2001-01-01 28314
2002-01-01 28662
2003-01-01 29411
2004-01-01 30013
2005-01-01 33053
2006-01-01 31751
2007-01-01 32714
2008-01-01 35336
2009-01-01 34941
2010-01-01 39042
2011-01-01 34892
2012-01-01 39121
2013-01-01 38141
2014-01-01 37428
2015-01-01 38808
2016-01-01 41989
2017-01-01 41253
2018-01-01 40732
2019-01-01 44424
2020-01-01 44736
2021-01-01 45747
2022-01-01 50351

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