Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Edwards County, TX
Series ID MHICIUBTX48137A052NCEN
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 18824
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22048
1994-01-01 .
1995-01-01 22004
1996-01-01 .
1997-01-01 24719
1998-01-01 24048
1999-01-01 25279
2000-01-01 27046
2001-01-01 26410
2002-01-01 26681
2003-01-01 27720
2004-01-01 29373
2005-01-01 30589
2006-01-01 30587
2007-01-01 33144
2008-01-01 34646
2009-01-01 33730
2010-01-01 35826
2011-01-01 36483
2012-01-01 37658
2013-01-01 38903
2014-01-01 39361
2015-01-01 41517
2016-01-01 40534
2017-01-01 39058
2018-01-01 41932
2019-01-01 45332
2020-01-01 52501
2021-01-01 53635
2022-01-01 57333

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