Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cameron County, TX
Series ID MHICIUBTX48061A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 18718
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21535
1994-01-01 .
1995-01-01 24736
1996-01-01 .
1997-01-01 24563
1998-01-01 25820
1999-01-01 26333
2000-01-01 28573
2001-01-01 27217
2002-01-01 27412
2003-01-01 28065
2004-01-01 28467
2005-01-01 27453
2006-01-01 29015
2007-01-01 31081
2008-01-01 32399
2009-01-01 32186
2010-01-01 33099
2011-01-01 33329
2012-01-01 32317
2013-01-01 35445
2014-01-01 33643
2015-01-01 36207
2016-01-01 38373
2017-01-01 38873
2018-01-01 40096
2019-01-01 43233
2020-01-01 47278
2021-01-01 49566
2022-01-01 52701
2023-01-01 53984

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