Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bryan County, OK
Series ID MHICIUBOK40013A052NCEN
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 3:11 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 18577
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21486
1994-01-01 .
1995-01-01 25007
1996-01-01 .
1997-01-01 27378
1998-01-01 28879
1999-01-01 29098
2000-01-01 30655
2001-01-01 29411
2002-01-01 29571
2003-01-01 30580
2004-01-01 30972
2005-01-01 31321
2006-01-01 36814
2007-01-01 36508
2008-01-01 38286
2009-01-01 38339
2010-01-01 39131
2011-01-01 36749
2012-01-01 39065
2013-01-01 39166
2014-01-01 40692
2015-01-01 43288
2016-01-01 41745
2017-01-01 45006
2018-01-01 47128
2019-01-01 47804
2020-01-01 50597
2021-01-01 52507
2022-01-01 57318
2023-01-01 54435

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