Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grayson County, TX
Series ID MHICILBTX48181A052NCEN
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 3:12 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 23241
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25924
1994-01-01 .
1995-01-01 27396
1996-01-01 .
1997-01-01 30071
1998-01-01 31604
1999-01-01 33483
2000-01-01 35141
2001-01-01 34528
2002-01-01 34461
2003-01-01 35484
2004-01-01 36399
2005-01-01 36775
2006-01-01 40538
2007-01-01 41728
2008-01-01 43515
2009-01-01 40549
2010-01-01 41293
2011-01-01 41167
2012-01-01 43264
2013-01-01 42109
2014-01-01 45865
2015-01-01 45037
2016-01-01 49819
2017-01-01 50658
2018-01-01 49552
2019-01-01 54107
2020-01-01 56554
2021-01-01 58644
2022-01-01 62933
2023-01-01 62349

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