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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Adair County, OK
Series ID MHICIUBOK40001A052NCEN
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 17420
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21843
1994-01-01 .
1995-01-01 25446
1996-01-01 .
1997-01-01 26208
1998-01-01 27890
1999-01-01 26899
2000-01-01 28292
2001-01-01 27641
2002-01-01 27979
2003-01-01 29194
2004-01-01 29662
2005-01-01 30950
2006-01-01 31468
2007-01-01 33552
2008-01-01 32370
2009-01-01 30335
2010-01-01 32921
2011-01-01 34385
2012-01-01 34068
2013-01-01 33825
2014-01-01 34278
2015-01-01 33281
2016-01-01 36728
2017-01-01 35842
2018-01-01 38761
2019-01-01 43266
2020-01-01 41341
2021-01-01 47147
2022-01-01 51973

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