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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Edwards County, TX
Series ID MHICILBTX48137A052NCEN
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 14229
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15957
1994-01-01 .
1995-01-01 15759
1996-01-01 .
1997-01-01 13759
1998-01-01 13160
1999-01-01 22018
2000-01-01 23174
2001-01-01 22945
2002-01-01 23168
2003-01-01 24369
2004-01-01 25786
2005-01-01 25294
2006-01-01 25356
2007-01-01 27095
2008-01-01 28222
2009-01-01 27305
2010-01-01 29460
2011-01-01 29721
2012-01-01 31118
2013-01-01 31775
2014-01-01 31747
2015-01-01 33617
2016-01-01 32544
2017-01-01 31270
2018-01-01 33692
2019-01-01 35516
2020-01-01 38159
2021-01-01 41511
2022-01-01 44171

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