Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Oklahoma County, OK
Series ID MHICILBOK40109A052NCEN
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 2:33 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 24911
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28079
1994-01-01 .
1995-01-01 28846
1996-01-01 .
1997-01-01 31981
1998-01-01 33849
1999-01-01 33462
2000-01-01 34397
2001-01-01 34008
2002-01-01 34374
2003-01-01 35420
2004-01-01 35924
2005-01-01 36339
2006-01-01 38050
2007-01-01 40567
2008-01-01 42598
2009-01-01 40213
2010-01-01 41423
2011-01-01 41361
2012-01-01 42295
2013-01-01 44451
2014-01-01 46757
2015-01-01 48523
2016-01-01 50094
2017-01-01 49990
2018-01-01 50906
2019-01-01 54913
2020-01-01 53668
2021-01-01 55872
2022-01-01 59715
2023-01-01 64405

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