Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Major County, OK
Series ID MHICIUBOK40093A052NCEN
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 1:51 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 26651
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30159
1994-01-01 .
1995-01-01 31405
1996-01-01 .
1997-01-01 34929
1998-01-01 35081
1999-01-01 33543
2000-01-01 35494
2001-01-01 35635
2002-01-01 34784
2003-01-01 37446
2004-01-01 37535
2005-01-01 37009
2006-01-01 41535
2007-01-01 44851
2008-01-01 48191
2009-01-01 50869
2010-01-01 48094
2011-01-01 49076
2012-01-01 53413
2013-01-01 57039
2014-01-01 59128
2015-01-01 59745
2016-01-01 56073
2017-01-01 54320
2018-01-01 61271
2019-01-01 66254
2020-01-01 62464
2021-01-01 61652
2022-01-01 70063

Subscribe to the FRED newsletter


Follow us

Back to Top