Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grady County, OK
Series ID MHICILBOK40051A052NCEN
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 1:12 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 20836
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24152
1994-01-01 .
1995-01-01 25756
1996-01-01 .
1997-01-01 28277
1998-01-01 30013
1999-01-01 30783
2000-01-01 31884
2001-01-01 32202
2002-01-01 32873
2003-01-01 34658
2004-01-01 35267
2005-01-01 35912
2006-01-01 35659
2007-01-01 40051
2008-01-01 40052
2009-01-01 40413
2010-01-01 41264
2011-01-01 41780
2012-01-01 43839
2013-01-01 45359
2014-01-01 48203
2015-01-01 49888
2016-01-01 51640
2017-01-01 50667
2018-01-01 52103
2019-01-01 59016
2020-01-01 54163
2021-01-01 55833
2022-01-01 62657

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