Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tippah County, MS
Series ID MHICILBMS28139A052NCEN
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 16027
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19778
1994-01-01 .
1995-01-01 21899
1996-01-01 .
1997-01-01 23186
1998-01-01 25417
1999-01-01 27271
2000-01-01 28106
2001-01-01 27364
2002-01-01 27591
2003-01-01 28658
2004-01-01 29789
2005-01-01 28932
2006-01-01 27070
2007-01-01 28931
2008-01-01 33469
2009-01-01 29427
2010-01-01 30369
2011-01-01 30569
2012-01-01 30927
2013-01-01 32441
2014-01-01 33437
2015-01-01 34628
2016-01-01 34816
2017-01-01 35508
2018-01-01 35749
2019-01-01 39924
2020-01-01 38472
2021-01-01 43673
2022-01-01 47913

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