Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pottawatomie County, OK
Series ID MHICIUBOK40125A052NCEN
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 2:05 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 24759
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27964
1994-01-01 .
1995-01-01 30662
1996-01-01 .
1997-01-01 33390
1998-01-01 34635
1999-01-01 33271
2000-01-01 35170
2001-01-01 34471
2002-01-01 34680
2003-01-01 35895
2004-01-01 36583
2005-01-01 36834
2006-01-01 39286
2007-01-01 40920
2008-01-01 44420
2009-01-01 40920
2010-01-01 40662
2011-01-01 44225
2012-01-01 44095
2013-01-01 46622
2014-01-01 48376
2015-01-01 45799
2016-01-01 44787
2017-01-01 50850
2018-01-01 50889
2019-01-01 55771
2020-01-01 53689
2021-01-01 54226
2022-01-01 57059
2023-01-01 60402

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