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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McCurtain County, OK
Series ID MHICIUBOK40089A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:03 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 18029
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21063
1994-01-01 .
1995-01-01 25121
1996-01-01 .
1997-01-01 26088
1998-01-01 27647
1999-01-01 25890
2000-01-01 27010
2001-01-01 26336
2002-01-01 26216
2003-01-01 26804
2004-01-01 27816
2005-01-01 30360
2006-01-01 30281
2007-01-01 31832
2008-01-01 33144
2009-01-01 32016
2010-01-01 32849
2011-01-01 31874
2012-01-01 33139
2013-01-01 33554
2014-01-01 36862
2015-01-01 33769
2016-01-01 34869
2017-01-01 34011
2018-01-01 40051
2019-01-01 42903
2020-01-01 47789
2021-01-01 47663
2022-01-01 48716
2023-01-01 52569
2024-01-01 54714

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