Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Leflore County, MS

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Leflore County, MS
Series ID MHICILBMS28083A052NCEN
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 13569
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15352
1994-01-01 .
1995-01-01 16510
1996-01-01 .
1997-01-01 17915
1998-01-01 19059
1999-01-01 20247
2000-01-01 20624
2001-01-01 19870
2002-01-01 19618
2003-01-01 20544
2004-01-01 21255
2005-01-01 21047
2006-01-01 21693
2007-01-01 22294
2008-01-01 21807
2009-01-01 22820
2010-01-01 23682
2011-01-01 22598
2012-01-01 22870
2013-01-01 22439
2014-01-01 23889
2015-01-01 24062
2016-01-01 24786
2017-01-01 23004
2018-01-01 26020
2019-01-01 26698
2020-01-01 31510
2021-01-01 27713
2022-01-01 31329

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