Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Osage County, OK
Series ID MHICIUBOK40113A052NCEN
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 2:31 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 26043
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29950
1994-01-01 .
1995-01-01 32561
1996-01-01 .
1997-01-01 35412
1998-01-01 36627
1999-01-01 36003
2000-01-01 38130
2001-01-01 38163
2002-01-01 38368
2003-01-01 38939
2004-01-01 38914
2005-01-01 41198
2006-01-01 40416
2007-01-01 45919
2008-01-01 44358
2009-01-01 47518
2010-01-01 45037
2011-01-01 46852
2012-01-01 47441
2013-01-01 52721
2014-01-01 52063
2015-01-01 50071
2016-01-01 49423
2017-01-01 50657
2018-01-01 52021
2019-01-01 54953
2020-01-01 55962
2021-01-01 59516
2022-01-01 62693
2023-01-01 67258

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