Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cameron County, TX
Series ID MHICILBTX48061A052NCEN
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 2:32 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 14539
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17248
1994-01-01 .
1995-01-01 19104
1996-01-01 .
1997-01-01 18819
1998-01-01 20083
1999-01-01 23034
2000-01-01 24655
2001-01-01 23712
2002-01-01 23883
2003-01-01 24743
2004-01-01 25079
2005-01-01 24379
2006-01-01 26739
2007-01-01 28098
2008-01-01 29502
2009-01-01 29333
2010-01-01 30149
2011-01-01 30475
2012-01-01 29843
2013-01-01 32365
2014-01-01 30787
2015-01-01 31881
2016-01-01 34801
2017-01-01 34375
2018-01-01 36116
2019-01-01 38553
2020-01-01 41602
2021-01-01 43306
2022-01-01 46465
2023-01-01 49448

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