Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tate County, MS
Series ID MHICIUBMS28137A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 22901
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27399
1994-01-01 .
1995-01-01 31824
1996-01-01 .
1997-01-01 34009
1998-01-01 35234
1999-01-01 36100
2000-01-01 38373
2001-01-01 37262
2002-01-01 37512
2003-01-01 38549
2004-01-01 39471
2005-01-01 41307
2006-01-01 42873
2007-01-01 43742
2008-01-01 44634
2009-01-01 41971
2010-01-01 45068
2011-01-01 46123
2012-01-01 43845
2013-01-01 44208
2014-01-01 44061
2015-01-01 47660
2016-01-01 50243
2017-01-01 51890
2018-01-01 53134
2019-01-01 55764
2020-01-01 63726
2021-01-01 60942
2022-01-01 65847
2023-01-01 70216

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