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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, AR
Series ID MHICILBAR05015A052NCEN
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 1:55 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 15896
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21062
1994-01-01 .
1995-01-01 23245
1996-01-01 .
1997-01-01 23285
1998-01-01 24548
1999-01-01 25567
2000-01-01 26495
2001-01-01 26249
2002-01-01 25547
2003-01-01 26068
2004-01-01 27623
2005-01-01 28239
2006-01-01 28520
2007-01-01 29747
2008-01-01 30405
2009-01-01 32361
2010-01-01 30998
2011-01-01 31121
2012-01-01 31432
2013-01-01 31026
2014-01-01 34643
2015-01-01 34152
2016-01-01 33654
2017-01-01 34375
2018-01-01 41725
2019-01-01 38942
2020-01-01 38500
2021-01-01 44841
2022-01-01 45064

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