Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Garland County, AR
Series ID MHICIUBAR05051A052NCEN
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 1:53 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 21820
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25214
1994-01-01 .
1995-01-01 29459
1996-01-01 .
1997-01-01 31061
1998-01-01 32530
1999-01-01 32645
2000-01-01 34680
2001-01-01 33619
2002-01-01 33484
2003-01-01 34073
2004-01-01 34748
2005-01-01 34520
2006-01-01 36202
2007-01-01 38815
2008-01-01 40989
2009-01-01 39644
2010-01-01 38572
2011-01-01 38242
2012-01-01 42022
2013-01-01 41741
2014-01-01 43065
2015-01-01 39652
2016-01-01 45502
2017-01-01 48034
2018-01-01 47279
2019-01-01 48946
2020-01-01 50477
2021-01-01 50628
2022-01-01 57019

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