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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, OK
Series ID MHICILBOK40147A052NCEN
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 1:53 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 28762
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32383
1994-01-01 .
1995-01-01 32640
1996-01-01 .
1997-01-01 34378
1998-01-01 36567
1999-01-01 34257
2000-01-01 34824
2001-01-01 34595
2002-01-01 35047
2003-01-01 35544
2004-01-01 35994
2005-01-01 36656
2006-01-01 38393
2007-01-01 42858
2008-01-01 41120
2009-01-01 41830
2010-01-01 43424
2011-01-01 43839
2012-01-01 45438
2013-01-01 43838
2014-01-01 45937
2015-01-01 48671
2016-01-01 48463
2017-01-01 47022
2018-01-01 49119
2019-01-01 58241
2020-01-01 43846
2021-01-01 48426
2022-01-01 56372

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