Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Canadian County, OK
Series ID MHICILBOK40017A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 31814
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37618
1994-01-01 .
1995-01-01 38825
1996-01-01 .
1997-01-01 41584
1998-01-01 43580
1999-01-01 42475
2000-01-01 44667
2001-01-01 44707
2002-01-01 45355
2003-01-01 47216
2004-01-01 47911
2005-01-01 48439
2006-01-01 49419
2007-01-01 56006
2008-01-01 58889
2009-01-01 61706
2010-01-01 54166
2011-01-01 56307
2012-01-01 58923
2013-01-01 61372
2014-01-01 65767
2015-01-01 60179
2016-01-01 63936
2017-01-01 68877
2018-01-01 67466
2019-01-01 70025
2020-01-01 69523
2021-01-01 71749
2022-01-01 77223
2023-01-01 82355

Subscribe to the FRED newsletter


Follow us

Back to Top