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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, AR
Series ID MHICIUBAR05033A052NCEN
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 1:10 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 23494
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26835
1994-01-01 .
1995-01-01 31375
1996-01-01 .
1997-01-01 33384
1998-01-01 34358
1999-01-01 34583
2000-01-01 36809
2001-01-01 35696
2002-01-01 36006
2003-01-01 37389
2004-01-01 38871
2005-01-01 38059
2006-01-01 41177
2007-01-01 40044
2008-01-01 44922
2009-01-01 42538
2010-01-01 42791
2011-01-01 39949
2012-01-01 42559
2013-01-01 41654
2014-01-01 46345
2015-01-01 48974
2016-01-01 46402
2017-01-01 49032
2018-01-01 50066
2019-01-01 48185
2020-01-01 59557
2021-01-01 58853
2022-01-01 60009

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