Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Angelina County, TX
Series ID MHICILBTX48005A052NCEN
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 1:11 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 21837
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23710
1994-01-01 .
1995-01-01 25944
1996-01-01 .
1997-01-01 27199
1998-01-01 28278
1999-01-01 30137
2000-01-01 31578
2001-01-01 31193
2002-01-01 31297
2003-01-01 32511
2004-01-01 33547
2005-01-01 35145
2006-01-01 36636
2007-01-01 35459
2008-01-01 34821
2009-01-01 36159
2010-01-01 36045
2011-01-01 36713
2012-01-01 37397
2013-01-01 38562
2014-01-01 39325
2015-01-01 41522
2016-01-01 39522
2017-01-01 41519
2018-01-01 42816
2019-01-01 48269
2020-01-01 44981
2021-01-01 46255
2022-01-01 52211

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