Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mayes County, OK
Series ID MHICIUBOK40097A052NCEN
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 23381
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26586
1994-01-01 .
1995-01-01 30271
1996-01-01 .
1997-01-01 32448
1998-01-01 34605
1999-01-01 33372
2000-01-01 34956
2001-01-01 34257
2002-01-01 34001
2003-01-01 34281
2004-01-01 35436
2005-01-01 36448
2006-01-01 39086
2007-01-01 40787
2008-01-01 39535
2009-01-01 42525
2010-01-01 42961
2011-01-01 43782
2012-01-01 41259
2013-01-01 44249
2014-01-01 44036
2015-01-01 49364
2016-01-01 49657
2017-01-01 49467
2018-01-01 54606
2019-01-01 53515
2020-01-01 56428
2021-01-01 57572
2022-01-01 53322

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