Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cleveland County, OK
Series ID MHICILBOK40027A052NCEN
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 1:53 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 28010
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32707
1994-01-01 .
1995-01-01 33869
1996-01-01 .
1997-01-01 38230
1998-01-01 40137
1999-01-01 39731
2000-01-01 41240
2001-01-01 40920
2002-01-01 41701
2003-01-01 43198
2004-01-01 43947
2005-01-01 43356
2006-01-01 46186
2007-01-01 49426
2008-01-01 51860
2009-01-01 49479
2010-01-01 49322
2011-01-01 50077
2012-01-01 51529
2013-01-01 52286
2014-01-01 55220
2015-01-01 56988
2016-01-01 59289
2017-01-01 59364
2018-01-01 59881
2019-01-01 61675
2020-01-01 58119
2021-01-01 63823
2022-01-01 67290

Subscribe to the FRED newsletter


Follow us

Back to Top