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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washita County, OK
Series ID MHICILBOK40149A052NCEN
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 1:11 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 19446
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19965
1994-01-01 .
1995-01-01 20023
1996-01-01 .
1997-01-01 22302
1998-01-01 22974
1999-01-01 26461
2000-01-01 27880
2001-01-01 27959
2002-01-01 27926
2003-01-01 29588
2004-01-01 30847
2005-01-01 31366
2006-01-01 33361
2007-01-01 35453
2008-01-01 37784
2009-01-01 38791
2010-01-01 37078
2011-01-01 42226
2012-01-01 39540
2013-01-01 43062
2014-01-01 42765
2015-01-01 44976
2016-01-01 41948
2017-01-01 40674
2018-01-01 42655
2019-01-01 45513
2020-01-01 47277
2021-01-01 45518
2022-01-01 48923

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