Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mitchell County, TX
Series ID MHICIUBTX48335A052NCEN
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 21026
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23533
1994-01-01 .
1995-01-01 25627
1996-01-01 .
1997-01-01 28123
1998-01-01 28974
1999-01-01 27363
2000-01-01 28320
2001-01-01 27484
2002-01-01 26687
2003-01-01 27566
2004-01-01 28534
2005-01-01 30866
2006-01-01 32856
2007-01-01 35772
2008-01-01 39333
2009-01-01 38021
2010-01-01 37974
2011-01-01 40440
2012-01-01 40891
2013-01-01 49436
2014-01-01 45686
2015-01-01 46046
2016-01-01 45732
2017-01-01 45655
2018-01-01 52654
2019-01-01 49898
2020-01-01 53073
2021-01-01 49369
2022-01-01 52605

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