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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Choctaw County, OK
Series ID MHICILBOK40023A052NCEN
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 1:12 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 11508
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12987
1994-01-01 .
1995-01-01 13828
1996-01-01 .
1997-01-01 16022
1998-01-01 16896
1999-01-01 21145
2000-01-01 21885
2001-01-01 21371
2002-01-01 21682
2003-01-01 22925
2004-01-01 23626
2005-01-01 24036
2006-01-01 24430
2007-01-01 25757
2008-01-01 25104
2009-01-01 24973
2010-01-01 26820
2011-01-01 26052
2012-01-01 27526
2013-01-01 28608
2014-01-01 26956
2015-01-01 27786
2016-01-01 28984
2017-01-01 27688
2018-01-01 32309
2019-01-01 33441
2020-01-01 36894
2021-01-01 37608
2022-01-01 37978

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