Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Throckmorton County, TX
Series ID MHICIUBTX48447A052NCEN
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 2:31 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 21125
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25294
1994-01-01 .
1995-01-01 25129
1996-01-01 .
1997-01-01 29174
1998-01-01 30972
1999-01-01 30867
2000-01-01 32215
2001-01-01 31671
2002-01-01 30986
2003-01-01 30084
2004-01-01 31774
2005-01-01 33535
2006-01-01 33911
2007-01-01 37178
2008-01-01 38453
2009-01-01 40255
2010-01-01 40823
2011-01-01 43724
2012-01-01 44965
2013-01-01 45787
2014-01-01 47795
2015-01-01 47727
2016-01-01 47526
2017-01-01 41009
2018-01-01 47156
2019-01-01 47881
2020-01-01 54127
2021-01-01 52064
2022-01-01 57470
2023-01-01 58132

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