Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dickens County, TX
Series ID MHICIUBTX48125A052NCEN
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 16409
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19736
1994-01-01 .
1995-01-01 21828
1996-01-01 .
1997-01-01 24651
1998-01-01 25408
1999-01-01 25890
2000-01-01 27717
2001-01-01 26589
2002-01-01 26327
2003-01-01 26420
2004-01-01 27067
2005-01-01 28998
2006-01-01 31248
2007-01-01 32486
2008-01-01 33392
2009-01-01 33773
2010-01-01 35787
2011-01-01 36259
2012-01-01 36013
2013-01-01 38981
2014-01-01 39545
2015-01-01 41773
2016-01-01 42203
2017-01-01 42835
2018-01-01 43656
2019-01-01 46784
2020-01-01 48080
2021-01-01 47896
2022-01-01 52558

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