Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McClain County, OK
Series ID MHICIUBOK40087A052NCEN
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 1:09 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 28638
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32109
1994-01-01 .
1995-01-01 34674
1996-01-01 .
1997-01-01 37286
1998-01-01 38796
1999-01-01 38859
2000-01-01 41008
2001-01-01 40416
2002-01-01 41076
2003-01-01 42561
2004-01-01 45437
2005-01-01 46651
2006-01-01 50291
2007-01-01 52938
2008-01-01 57801
2009-01-01 55581
2010-01-01 56451
2011-01-01 59654
2012-01-01 58210
2013-01-01 63236
2014-01-01 63509
2015-01-01 61601
2016-01-01 65762
2017-01-01 67045
2018-01-01 69493
2019-01-01 79305
2020-01-01 76067
2021-01-01 80035
2022-01-01 80504

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