Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, AR
Series ID MHICIUBAR05013A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 21355
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25297
1994-01-01 .
1995-01-01 27242
1996-01-01 .
1997-01-01 30216
1998-01-01 31977
1999-01-01 30180
2000-01-01 31851
2001-01-01 31159
2002-01-01 31854
2003-01-01 31909
2004-01-01 32643
2005-01-01 34683
2006-01-01 36444
2007-01-01 38351
2008-01-01 38334
2009-01-01 37853
2010-01-01 40319
2011-01-01 38982
2012-01-01 39774
2013-01-01 41236
2014-01-01 43645
2015-01-01 44615
2016-01-01 36754
2017-01-01 46814
2018-01-01 49814
2019-01-01 53489
2020-01-01 55099
2021-01-01 56074
2022-01-01 59001
2023-01-01 64945

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