Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Angelina County, TX
Series ID MHICIUBTX48005A052NCEN
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 26326
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28200
1994-01-01 .
1995-01-01 32064
1996-01-01 .
1997-01-01 33337
1998-01-01 34334
1999-01-01 34296
2000-01-01 36655
2001-01-01 35795
2002-01-01 35927
2003-01-01 36887
2004-01-01 38095
2005-01-01 39147
2006-01-01 42048
2007-01-01 40446
2008-01-01 40743
2009-01-01 41345
2010-01-01 41863
2011-01-01 41625
2012-01-01 42097
2013-01-01 45046
2014-01-01 44931
2015-01-01 49334
2016-01-01 47794
2017-01-01 49117
2018-01-01 50490
2019-01-01 55231
2020-01-01 54905
2021-01-01 54985
2022-01-01 61439

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