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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tillman County, OK
Series ID MHICIUBOK40141A052NCEN
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 19623
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22561
1994-01-01 .
1995-01-01 23264
1996-01-01 .
1997-01-01 26164
1998-01-01 27394
1999-01-01 26555
2000-01-01 27752
2001-01-01 26661
2002-01-01 26739
2003-01-01 27585
2004-01-01 28299
2005-01-01 29742
2006-01-01 31723
2007-01-01 28090
2008-01-01 34670
2009-01-01 33430
2010-01-01 33241
2011-01-01 35388
2012-01-01 35040
2013-01-01 38143
2014-01-01 39028
2015-01-01 41283
2016-01-01 39902
2017-01-01 43847
2018-01-01 45168
2019-01-01 45925
2020-01-01 47708
2021-01-01 48739
2022-01-01 49413

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