Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Aransas County, TX
Series ID MHICIUBTX48007A052NCEN
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 1:51 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 21412
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25697
1994-01-01 .
1995-01-01 29520
1996-01-01 .
1997-01-01 30738
1998-01-01 32973
1999-01-01 31919
2000-01-01 33922
2001-01-01 32690
2002-01-01 32461
2003-01-01 33277
2004-01-01 33946
2005-01-01 35286
2006-01-01 38894
2007-01-01 42130
2008-01-01 44551
2009-01-01 43979
2010-01-01 41845
2011-01-01 42775
2012-01-01 44508
2013-01-01 45572
2014-01-01 48561
2015-01-01 44913
2016-01-01 49167
2017-01-01 51489
2018-01-01 51915
2019-01-01 57639
2020-01-01 58702
2021-01-01 61281
2022-01-01 66979

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