Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Terrell County, TX
Series ID MHICIUBTX48443A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 25555
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25239
1994-01-01 .
1995-01-01 26071
1996-01-01 .
1997-01-01 28134
1998-01-01 27521
1999-01-01 25975
2000-01-01 28769
2001-01-01 28147
2002-01-01 29141
2003-01-01 28723
2004-01-01 29839
2005-01-01 30588
2006-01-01 28418
2007-01-01 34278
2008-01-01 33441
2009-01-01 33968
2010-01-01 39165
2011-01-01 43284
2012-01-01 41082
2013-01-01 40405
2014-01-01 43809
2015-01-01 48455
2016-01-01 45677
2017-01-01 43357
2018-01-01 45949
2019-01-01 51027
2020-01-01 49342
2021-01-01 49673
2022-01-01 54024
2023-01-01 54244

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