Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Winn Parish, LA
Series ID MHICIUBLA22127A052NCEN
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 19942
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23132
1994-01-01 .
1995-01-01 26541
1996-01-01 .
1997-01-01 27942
1998-01-01 28928
1999-01-01 27339
2000-01-01 28221
2001-01-01 27227
2002-01-01 27397
2003-01-01 28442
2004-01-01 29623
2005-01-01 31585
2006-01-01 33531
2007-01-01 35568
2008-01-01 34065
2009-01-01 35683
2010-01-01 36511
2011-01-01 37250
2012-01-01 38834
2013-01-01 39258
2014-01-01 40544
2015-01-01 39830
2016-01-01 41541
2017-01-01 43636
2018-01-01 44221
2019-01-01 48247
2020-01-01 47972
2021-01-01 50147
2022-01-01 51148

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