Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Murray County, OK
Series ID MHICILBOK40099A052NCEN
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 17432
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19117
1994-01-01 .
1995-01-01 20362
1996-01-01 .
1997-01-01 22160
1998-01-01 23240
1999-01-01 27122
2000-01-01 28270
2001-01-01 28039
2002-01-01 28438
2003-01-01 29260
2004-01-01 30707
2005-01-01 30413
2006-01-01 33920
2007-01-01 34661
2008-01-01 36346
2009-01-01 35030
2010-01-01 36563
2011-01-01 36798
2012-01-01 38697
2013-01-01 47229
2014-01-01 39572
2015-01-01 41053
2016-01-01 43500
2017-01-01 41728
2018-01-01 45839
2019-01-01 45477
2020-01-01 48113
2021-01-01 49688
2022-01-01 54529

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