Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Murray County, OK
Series ID MHICIUBOK40099A052NCEN
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 21989
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23738
1994-01-01 .
1995-01-01 26535
1996-01-01 .
1997-01-01 28354
1998-01-01 29405
1999-01-01 30897
2000-01-01 32837
2001-01-01 32184
2002-01-01 32669
2003-01-01 33195
2004-01-01 34838
2005-01-01 36601
2006-01-01 40094
2007-01-01 41206
2008-01-01 44190
2009-01-01 42991
2010-01-01 42695
2011-01-01 43030
2012-01-01 46323
2013-01-01 52403
2014-01-01 47994
2015-01-01 50067
2016-01-01 52516
2017-01-01 51476
2018-01-01 54223
2019-01-01 56453
2020-01-01 62523
2021-01-01 62306
2022-01-01 66085

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