Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tate County, MS
Series ID MHICILBMS28137A052NCEN
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 18363
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22908
1994-01-01 .
1995-01-01 25729
1996-01-01 .
1997-01-01 27795
1998-01-01 29138
1999-01-01 31687
2000-01-01 33061
2001-01-01 32523
2002-01-01 32721
2003-01-01 34014
2004-01-01 34819
2005-01-01 34670
2006-01-01 36088
2007-01-01 37215
2008-01-01 38808
2009-01-01 35373
2010-01-01 37862
2011-01-01 38279
2012-01-01 37777
2013-01-01 37040
2014-01-01 37889
2015-01-01 39092
2016-01-01 41043
2017-01-01 42702
2018-01-01 43030
2019-01-01 44612
2020-01-01 59776
2021-01-01 48822
2022-01-01 51399

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