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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hudspeth County, TX
Series ID MHICILBTX48229A052NCEN
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 1:53 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 14084
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14686
1994-01-01 .
1995-01-01 13907
1996-01-01 .
1997-01-01 16203
1998-01-01 16920
1999-01-01 19692
2000-01-01 20855
2001-01-01 20240
2002-01-01 20265
2003-01-01 20493
2004-01-01 20687
2005-01-01 21406
2006-01-01 21020
2007-01-01 22544
2008-01-01 24031
2009-01-01 24297
2010-01-01 24509
2011-01-01 25723
2012-01-01 27131
2013-01-01 28174
2014-01-01 28650
2015-01-01 29609
2016-01-01 31400
2017-01-01 35201
2018-01-01 37880
2019-01-01 35065
2020-01-01 34525
2021-01-01 34011
2022-01-01 34719

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