Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McClain County, OK
Series ID MHICILBOK40087A052NCEN
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 24171
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27643
1994-01-01 .
1995-01-01 28609
1996-01-01 .
1997-01-01 31112
1998-01-01 32589
1999-01-01 34192
2000-01-01 35350
2001-01-01 35276
2002-01-01 35844
2003-01-01 37561
2004-01-01 40032
2005-01-01 40052
2006-01-01 42670
2007-01-01 44369
2008-01-01 47842
2009-01-01 46291
2010-01-01 47083
2011-01-01 49612
2012-01-01 50780
2013-01-01 52332
2014-01-01 53275
2015-01-01 51799
2016-01-01 57698
2017-01-01 60529
2018-01-01 62169
2019-01-01 70713
2020-01-01 61059
2021-01-01 65755
2022-01-01 70444

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