Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, OK
Series ID MHICIUBOK40081A052NCEN
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 1:09 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 23613
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27236
1994-01-01 .
1995-01-01 29670
1996-01-01 .
1997-01-01 34058
1998-01-01 35774
1999-01-01 33159
2000-01-01 34924
2001-01-01 34366
2002-01-01 34536
2003-01-01 35127
2004-01-01 35983
2005-01-01 37612
2006-01-01 41169
2007-01-01 41228
2008-01-01 44466
2009-01-01 43602
2010-01-01 43365
2011-01-01 40722
2012-01-01 46761
2013-01-01 45017
2014-01-01 48822
2015-01-01 50150
2016-01-01 48188
2017-01-01 49698
2018-01-01 51763
2019-01-01 55240
2020-01-01 61902
2021-01-01 54752
2022-01-01 59219

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