Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for West Carroll Parish, LA
Series ID MHICIUBLA22123A052NCEN
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 1:52 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 16765
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19249
1994-01-01 .
1995-01-01 22669
1996-01-01 .
1997-01-01 23520
1998-01-01 25157
1999-01-01 25519
2000-01-01 27329
2001-01-01 27000
2002-01-01 27085
2003-01-01 28276
2004-01-01 28425
2005-01-01 30538
2006-01-01 31989
2007-01-01 31224
2008-01-01 34030
2009-01-01 40286
2010-01-01 34728
2011-01-01 30035
2012-01-01 35658
2013-01-01 37989
2014-01-01 37517
2015-01-01 39056
2016-01-01 39109
2017-01-01 41649
2018-01-01 43197
2019-01-01 47277
2020-01-01 44284
2021-01-01 45859
2022-01-01 44847

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