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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Donley County, TX
Series ID MHICILBTX48129A052NCEN
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 15618
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17539
1994-01-01 .
1995-01-01 19445
1996-01-01 .
1997-01-01 20895
1998-01-01 20534
1999-01-01 25585
2000-01-01 26362
2001-01-01 26533
2002-01-01 25967
2003-01-01 27259
2004-01-01 27290
2005-01-01 27693
2006-01-01 30272
2007-01-01 30741
2008-01-01 32358
2009-01-01 30587
2010-01-01 31672
2011-01-01 31087
2012-01-01 32142
2013-01-01 31396
2014-01-01 33564
2015-01-01 33113
2016-01-01 34843
2017-01-01 38450
2018-01-01 37803
2019-01-01 36171
2020-01-01 53473
2021-01-01 39207
2022-01-01 40505

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