Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cleburne County, AR
Series ID MHICIUBAR05023A052NCEN
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 20879
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24759
1994-01-01 .
1995-01-01 28289
1996-01-01 .
1997-01-01 30296
1998-01-01 31814
1999-01-01 32561
2000-01-01 34407
2001-01-01 33506
2002-01-01 33674
2003-01-01 34428
2004-01-01 35181
2005-01-01 37243
2006-01-01 39533
2007-01-01 40846
2008-01-01 39385
2009-01-01 41111
2010-01-01 38379
2011-01-01 45446
2012-01-01 44597
2013-01-01 45027
2014-01-01 44428
2015-01-01 47489
2016-01-01 46803
2017-01-01 46575
2018-01-01 48671
2019-01-01 50735
2020-01-01 54067
2021-01-01 55847
2022-01-01 57806

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