Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for El Paso County, TX
Series ID MHICILBTX48141A052NCEN
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 1:11 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 17745
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22058
1994-01-01 .
1995-01-01 22861
1996-01-01 .
1997-01-01 23186
1998-01-01 23642
1999-01-01 25876
2000-01-01 27849
2001-01-01 27587
2002-01-01 27942
2003-01-01 29342
2004-01-01 30184
2005-01-01 30080
2006-01-01 31322
2007-01-01 33742
2008-01-01 35402
2009-01-01 34533
2010-01-01 34989
2011-01-01 37448
2012-01-01 38942
2013-01-01 38438
2014-01-01 38850
2015-01-01 41345
2016-01-01 40542
2017-01-01 42373
2018-01-01 42064
2019-01-01 46599
2020-01-01 46334
2021-01-01 49538
2022-01-01 51775

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