Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tippah County, MS
Series ID MHICIUBMS28139A052NCEN
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 20379
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24195
1994-01-01 .
1995-01-01 28071
1996-01-01 .
1997-01-01 29428
1998-01-01 31629
1999-01-01 31105
2000-01-01 32653
2001-01-01 31394
2002-01-01 31682
2003-01-01 32533
2004-01-01 33836
2005-01-01 33587
2006-01-01 30616
2007-01-01 34500
2008-01-01 40009
2009-01-01 36305
2010-01-01 36077
2011-01-01 36833
2012-01-01 37357
2013-01-01 39375
2014-01-01 40615
2015-01-01 41966
2016-01-01 42326
2017-01-01 43882
2018-01-01 43917
2019-01-01 49468
2020-01-01 52664
2021-01-01 54835
2022-01-01 57357

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