Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Craig County, OK
Series ID MHICIUBOK40035A052NCEN
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 1:09 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 21222
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24185
1994-01-01 .
1995-01-01 26859
1996-01-01 .
1997-01-01 28839
1998-01-01 29612
1999-01-01 31361
2000-01-01 33875
2001-01-01 32598
2002-01-01 32836
2003-01-01 34709
2004-01-01 33747
2005-01-01 38637
2006-01-01 36939
2007-01-01 39205
2008-01-01 42000
2009-01-01 38876
2010-01-01 39868
2011-01-01 40353
2012-01-01 40286
2013-01-01 40241
2014-01-01 40372
2015-01-01 43895
2016-01-01 45949
2017-01-01 42808
2018-01-01 45899
2019-01-01 46909
2020-01-01 49123
2021-01-01 53386
2022-01-01 54364

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