Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Aransas County, TX
Series ID MHICILBTX48007A052NCEN
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 1:53 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 16748
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21067
1994-01-01 .
1995-01-01 23354
1996-01-01 .
1997-01-01 24574
1998-01-01 26867
1999-01-01 27943
2000-01-01 29201
2001-01-01 28504
2002-01-01 28279
2003-01-01 29338
2004-01-01 29919
2005-01-01 30639
2006-01-01 32721
2007-01-01 34432
2008-01-01 37027
2009-01-01 36222
2010-01-01 35187
2011-01-01 34999
2012-01-01 37258
2013-01-01 37760
2014-01-01 40541
2015-01-01 38207
2016-01-01 40565
2017-01-01 42451
2018-01-01 41909
2019-01-01 48531
2020-01-01 44220
2021-01-01 49589
2022-01-01 54067

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