Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coal County, OK
Series ID MHICIUBOK40029A052NCEN
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 16183
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18065
1994-01-01 .
1995-01-01 21114
1996-01-01 .
1997-01-01 23786
1998-01-01 24524
1999-01-01 24950
2000-01-01 26321
2001-01-01 25572
2002-01-01 25725
2003-01-01 26157
2004-01-01 27215
2005-01-01 27064
2006-01-01 29344
2007-01-01 32883
2008-01-01 35349
2009-01-01 34876
2010-01-01 36245
2011-01-01 38903
2012-01-01 36146
2013-01-01 38972
2014-01-01 40171
2015-01-01 42860
2016-01-01 44575
2017-01-01 41832
2018-01-01 42981
2019-01-01 45013
2020-01-01 45443
2021-01-01 49037
2022-01-01 48325

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