Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, OK
Series ID MHICIUBOK40053A052NCEN
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 1:51 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 26216
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28125
1994-01-01 .
1995-01-01 27782
1996-01-01 .
1997-01-01 32135
1998-01-01 33298
1999-01-01 31471
2000-01-01 32710
2001-01-01 32026
2002-01-01 31118
2003-01-01 33496
2004-01-01 34451
2005-01-01 36240
2006-01-01 36692
2007-01-01 40082
2008-01-01 42922
2009-01-01 45314
2010-01-01 40064
2011-01-01 44303
2012-01-01 48441
2013-01-01 55201
2014-01-01 54400
2015-01-01 55339
2016-01-01 52793
2017-01-01 49546
2018-01-01 54094
2019-01-01 63964
2020-01-01 58773
2021-01-01 57915
2022-01-01 62427

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