Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coal County, OK
Series ID MHICILBOK40029A052NCEN
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 11565
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13453
1994-01-01 .
1995-01-01 14760
1996-01-01 .
1997-01-01 17430
1998-01-01 17807
1999-01-01 21812
2000-01-01 22577
2001-01-01 22201
2002-01-01 22333
2003-01-01 23015
2004-01-01 23940
2005-01-01 23498
2006-01-01 24651
2007-01-01 27599
2008-01-01 29168
2009-01-01 28456
2010-01-01 30699
2011-01-01 32047
2012-01-01 30224
2013-01-01 32104
2014-01-01 32961
2015-01-01 35048
2016-01-01 37647
2017-01-01 33916
2018-01-01 35811
2019-01-01 37533
2020-01-01 36881
2021-01-01 40429
2022-01-01 39755

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