Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Payne County, OK
Series ID MHICILBOK40119A052NCEN
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 1:11 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 20804
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23869
1994-01-01 .
1995-01-01 24449
1996-01-01 .
1997-01-01 27314
1998-01-01 28929
1999-01-01 27912
2000-01-01 28362
2001-01-01 27961
2002-01-01 27962
2003-01-01 29041
2004-01-01 29513
2005-01-01 28750
2006-01-01 32782
2007-01-01 31745
2008-01-01 36540
2009-01-01 33117
2010-01-01 34514
2011-01-01 34386
2012-01-01 35006
2013-01-01 36329
2014-01-01 37589
2015-01-01 38886
2016-01-01 37882
2017-01-01 37047
2018-01-01 44222
2019-01-01 40126
2020-01-01 36438
2021-01-01 45453
2022-01-01 45714

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