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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Trumbull County, OH
Series ID MHICIUBOH39155A052NCEN
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 1:51 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 30754
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34037
1994-01-01 .
1995-01-01 37308
1996-01-01 .
1997-01-01 39330
1998-01-01 40366
1999-01-01 39725
2000-01-01 41964
2001-01-01 40769
2002-01-01 40495
2003-01-01 40646
2004-01-01 41693
2005-01-01 42838
2006-01-01 44232
2007-01-01 43349
2008-01-01 42943
2009-01-01 42878
2010-01-01 42437
2011-01-01 42266
2012-01-01 42886
2013-01-01 43452
2014-01-01 44994
2015-01-01 44747
2016-01-01 48417
2017-01-01 47784
2018-01-01 50715
2019-01-01 50726
2020-01-01 52863
2021-01-01 55061
2022-01-01 58102

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