Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Armstrong County, TX
Series ID MHICIUBTX48011A052NCEN
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 3:11 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 23245
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29924
1994-01-01 .
1995-01-01 31343
1996-01-01 .
1997-01-01 34209
1998-01-01 34917
1999-01-01 38206
2000-01-01 40261
2001-01-01 39777
2002-01-01 39338
2003-01-01 41201
2004-01-01 43502
2005-01-01 46616
2006-01-01 48119
2007-01-01 50961
2008-01-01 51916
2009-01-01 52792
2010-01-01 53407
2011-01-01 54115
2012-01-01 54945
2013-01-01 57147
2014-01-01 59447
2015-01-01 60842
2016-01-01 60720
2017-01-01 61125
2018-01-01 63415
2019-01-01 71513
2020-01-01 70321
2021-01-01 72028
2022-01-01 75882
2023-01-01 77351

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