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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tillman County, OK
Series ID MHICILBOK40141A052NCEN
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 14971
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18010
1994-01-01 .
1995-01-01 16655
1996-01-01 .
1997-01-01 19797
1998-01-01 21148
1999-01-01 23229
2000-01-01 23859
2001-01-01 23142
2002-01-01 23249
2003-01-01 24278
2004-01-01 24885
2005-01-01 24715
2006-01-01 26797
2007-01-01 24150
2008-01-01 28257
2009-01-01 27465
2010-01-01 27487
2011-01-01 28856
2012-01-01 29724
2013-01-01 31965
2014-01-01 31520
2015-01-01 35211
2016-01-01 32798
2017-01-01 35315
2018-01-01 37204
2019-01-01 36577
2020-01-01 35512
2021-01-01 39723
2022-01-01 39253

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