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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Okfuskee County, OK
Series ID MHICIUBOK40107A052NCEN
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 16459
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19978
1994-01-01 .
1995-01-01 22340
1996-01-01 .
1997-01-01 24348
1998-01-01 25510
1999-01-01 25481
2000-01-01 26984
2001-01-01 25979
2002-01-01 26342
2003-01-01 26871
2004-01-01 28085
2005-01-01 29500
2006-01-01 31518
2007-01-01 32211
2008-01-01 33400
2009-01-01 34541
2010-01-01 34257
2011-01-01 34019
2012-01-01 34070
2013-01-01 37813
2014-01-01 37601
2015-01-01 40708
2016-01-01 38395
2017-01-01 40629
2018-01-01 41403
2019-01-01 43674
2020-01-01 50894
2021-01-01 39203
2022-01-01 48559
2023-01-01 50241
2024-01-01 53878

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