Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cleveland County, OK
Series ID MHICIUBOK40027A052NCEN
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 3:11 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 32384
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37032
1994-01-01 .
1995-01-01 39481
1996-01-01 .
1997-01-01 43924
1998-01-01 45804
1999-01-01 44995
2000-01-01 47487
2001-01-01 46667
2002-01-01 47587
2003-01-01 48748
2004-01-01 49585
2005-01-01 47934
2006-01-01 49553
2007-01-01 52678
2008-01-01 56040
2009-01-01 54437
2010-01-01 53614
2011-01-01 53723
2012-01-01 56543
2013-01-01 57444
2014-01-01 61190
2015-01-01 61846
2016-01-01 63261
2017-01-01 63364
2018-01-01 64805
2019-01-01 67737
2020-01-01 69903
2021-01-01 71561
2022-01-01 74556
2023-01-01 79141

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