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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bexar County, TX
Series ID MHICIUBTX48029A052NCEN
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 1:09 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 24515
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28218
1994-01-01 .
1995-01-01 31987
1996-01-01 .
1997-01-01 34771
1998-01-01 36617
1999-01-01 38442
2000-01-01 42057
2001-01-01 41343
2002-01-01 40758
2003-01-01 40824
2004-01-01 40984
2005-01-01 42865
2006-01-01 43849
2007-01-01 45736
2008-01-01 46915
2009-01-01 46365
2010-01-01 48911
2011-01-01 47760
2012-01-01 50698
2013-01-01 50700
2014-01-01 51579
2015-01-01 53158
2016-01-01 54237
2017-01-01 55427
2018-01-01 55616
2019-01-01 60257
2020-01-01 62330
2021-01-01 64377
2022-01-01 67739

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