Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Terry County, TX
Series ID MHICIUBTX48445A052NCEN
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 24926
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28685
1994-01-01 .
1995-01-01 30553
1996-01-01 .
1997-01-01 32347
1998-01-01 31404
1999-01-01 29595
2000-01-01 30869
2001-01-01 29985
2002-01-01 29016
2003-01-01 29903
2004-01-01 31476
2005-01-01 33006
2006-01-01 36140
2007-01-01 36920
2008-01-01 35124
2009-01-01 35062
2010-01-01 37653
2011-01-01 34051
2012-01-01 37681
2013-01-01 40985
2014-01-01 42786
2015-01-01 46696
2016-01-01 42783
2017-01-01 45238
2018-01-01 45686
2019-01-01 47763
2020-01-01 54227
2021-01-01 47102
2022-01-01 52829
2023-01-01 47849

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