Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hudspeth County, TX
Series ID MHICIUBTX48229A052NCEN
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 1:09 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 19030
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24101
1994-01-01 .
1995-01-01 20625
1996-01-01 .
1997-01-01 23751
1998-01-01 23888
1999-01-01 22761
2000-01-01 25097
2001-01-01 23520
2002-01-01 23574
2003-01-01 23485
2004-01-01 23774
2005-01-01 25446
2006-01-01 25172
2007-01-01 27646
2008-01-01 29218
2009-01-01 29809
2010-01-01 29477
2011-01-01 31525
2012-01-01 32955
2013-01-01 34534
2014-01-01 35522
2015-01-01 36487
2016-01-01 39104
2017-01-01 44165
2018-01-01 47462
2019-01-01 43553
2020-01-01 46807
2021-01-01 43797
2022-01-01 44445

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