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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Caddo County, OK
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.
1989-01-01 16372
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18673
1994-01-01 .
1995-01-01 19012
1996-01-01 .
1997-01-01 21874
1998-01-01 23419
1999-01-01 25284
2000-01-01 26149
2001-01-01 25956
2002-01-01 26010
2003-01-01 27300
2004-01-01 27132
2005-01-01 31549
2006-01-01 28867
2007-01-01 31892
2008-01-01 30661
2009-01-01 32423
2010-01-01 33317
2011-01-01 35652
2012-01-01 32104
2013-01-01 34356
2014-01-01 37483
2015-01-01 40464
2016-01-01 37271
2017-01-01 39475
2018-01-01 45680
2019-01-01 41709
2020-01-01 44426
2021-01-01 39724
2022-01-01 47627

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