Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grayson County, TX
Series ID MHICIUBTX48181A052NCEN
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 1:51 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 27718
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30413
1994-01-01 .
1995-01-01 33520
1996-01-01 .
1997-01-01 36203
1998-01-01 37647
1999-01-01 38069
2000-01-01 40769
2001-01-01 39542
2002-01-01 39500
2003-01-01 40209
2004-01-01 41258
2005-01-01 42535
2006-01-01 45139
2007-01-01 47055
2008-01-01 47823
2009-01-01 45909
2010-01-01 47419
2011-01-01 46993
2012-01-01 48990
2013-01-01 47083
2014-01-01 52657
2015-01-01 51291
2016-01-01 53797
2017-01-01 58204
2018-01-01 53254
2019-01-01 60771
2020-01-01 62554
2021-01-01 66712
2022-01-01 69349

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