Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cherokee County, OK
Series ID MHICILBOK40021A052NCEN
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 2:32 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 15140
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18788
1994-01-01 .
1995-01-01 20305
1996-01-01 .
1997-01-01 21181
1998-01-01 22231
1999-01-01 24409
2000-01-01 25229
2001-01-01 24798
2002-01-01 25275
2003-01-01 26319
2004-01-01 27312
2005-01-01 27244
2006-01-01 27894
2007-01-01 27993
2008-01-01 29969
2009-01-01 31689
2010-01-01 30786
2011-01-01 31688
2012-01-01 33052
2013-01-01 33504
2014-01-01 35378
2015-01-01 37541
2016-01-01 33162
2017-01-01 36995
2018-01-01 39278
2019-01-01 41888
2020-01-01 44706
2021-01-01 39024
2022-01-01 45471
2023-01-01 46665

Subscribe to the FRED newsletter


Follow us

Back to Top