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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Beaver County, OK
Series ID MHICILBOK40007A052NCEN
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 21631
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28362
1994-01-01 .
1995-01-01 28476
1996-01-01 .
1997-01-01 31833
1998-01-01 32239
1999-01-01 33922
2000-01-01 35448
2001-01-01 34560
2002-01-01 32786
2003-01-01 35748
2004-01-01 35498
2005-01-01 36505
2006-01-01 39868
2007-01-01 40401
2008-01-01 43360
2009-01-01 41723
2010-01-01 44608
2011-01-01 44907
2012-01-01 47536
2013-01-01 50917
2014-01-01 51047
2015-01-01 53399
2016-01-01 50340
2017-01-01 48061
2018-01-01 47805
2019-01-01 49470
2020-01-01 52491
2021-01-01 54165
2022-01-01 58686

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