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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for El Paso County, TX
Series ID MHICIUBTX48141A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:02 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 21397
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25910
1994-01-01 .
1995-01-01 27893
1996-01-01 .
1997-01-01 28530
1998-01-01 28979
1999-01-01 29378
2000-01-01 31974
2001-01-01 31470
2002-01-01 31847
2003-01-01 33093
2004-01-01 34023
2005-01-01 32601
2006-01-01 33387
2007-01-01 36491
2008-01-01 37637
2009-01-01 37622
2010-01-01 37139
2011-01-01 40784
2012-01-01 41242
2013-01-01 41058
2014-01-01 41312
2015-01-01 44857
2016-01-01 43554
2017-01-01 45867
2018-01-01 45832
2019-01-01 50659
2020-01-01 50710
2021-01-01 52428
2022-01-01 55107
2023-01-01 60928
2024-01-01 62308

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