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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Trinity County, TX
Series ID MHICIUBTX48455A052NCEN
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 1:09 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 19351
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22132
1994-01-01 .
1995-01-01 25622
1996-01-01 .
1997-01-01 27216
1998-01-01 28625
1999-01-01 28280
2000-01-01 30003
2001-01-01 29122
2002-01-01 29479
2003-01-01 29879
2004-01-01 30649
2005-01-01 32603
2006-01-01 34263
2007-01-01 36174
2008-01-01 36198
2009-01-01 36136
2010-01-01 36914
2011-01-01 35937
2012-01-01 36260
2013-01-01 36584
2014-01-01 39854
2015-01-01 40537
2016-01-01 41889
2017-01-01 37698
2018-01-01 44672
2019-01-01 48798
2020-01-01 53919
2021-01-01 51771
2022-01-01 55441

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