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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, OK
Series ID MHICILBOK40081A052NCEN
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 7:08 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 19095
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22789
1994-01-01 .
1995-01-01 23920
1996-01-01 .
1997-01-01 28222
1998-01-01 29919
1999-01-01 29215
2000-01-01 30231
2001-01-01 30079
2002-01-01 30217
2003-01-01 31059
2004-01-01 31788
2005-01-01 31811
2006-01-01 35507
2007-01-01 35180
2008-01-01 37640
2009-01-01 36723
2010-01-01 36787
2011-01-01 35394
2012-01-01 41537
2013-01-01 39739
2014-01-01 43344
2015-01-01 43802
2016-01-01 41640
2017-01-01 44324
2018-01-01 44315
2019-01-01 46784
2020-01-01 52012
2021-01-01 48298
2022-01-01 50625
2023-01-01 50831
2024-01-01 59603

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