Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gray County, TX
Series ID MHICILBTX48179A052NCEN
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 1:53 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 24373
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26678
1994-01-01 .
1995-01-01 26782
1996-01-01 .
1997-01-01 29600
1998-01-01 31233
1999-01-01 29871
2000-01-01 30714
2001-01-01 30771
2002-01-01 30521
2003-01-01 31621
2004-01-01 32561
2005-01-01 30859
2006-01-01 34241
2007-01-01 37004
2008-01-01 40805
2009-01-01 35911
2010-01-01 38776
2011-01-01 37841
2012-01-01 40478
2013-01-01 44598
2014-01-01 44457
2015-01-01 44660
2016-01-01 42956
2017-01-01 41575
2018-01-01 44160
2019-01-01 46941
2020-01-01 47437
2021-01-01 40366
2022-01-01 44599

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