Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Trinity County, TX
Series ID MHICILBTX48455A052NCEN
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 1:53 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 14810
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17573
1994-01-01 .
1995-01-01 19386
1996-01-01 .
1997-01-01 20942
1998-01-01 22374
1999-01-01 24739
2000-01-01 25771
2001-01-01 25325
2002-01-01 25635
2003-01-01 26307
2004-01-01 26981
2005-01-01 27347
2006-01-01 28833
2007-01-01 29954
2008-01-01 29652
2009-01-01 30026
2010-01-01 31176
2011-01-01 29553
2012-01-01 31282
2013-01-01 30310
2014-01-01 33436
2015-01-01 33889
2016-01-01 36057
2017-01-01 31784
2018-01-01 36300
2019-01-01 38778
2020-01-01 41451
2021-01-01 41367
2022-01-01 43817

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