Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Arkansas

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Arkansas
Series ID MHICILBAR05000A052NCEN
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 1:12 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 19604
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22830
1994-01-01 .
1995-01-01 25109
1996-01-01 25683
1997-01-01 26234
1998-01-01 27505
1999-01-01 29848
2000-01-01 29698
2001-01-01 31396
2002-01-01 31135
2003-01-01 31994
2004-01-01 33830
2005-01-01 34476
2006-01-01 36155
2007-01-01 37548
2008-01-01 38139
2009-01-01 37289
2010-01-01 37806
2011-01-01 38167
2012-01-01 39666
2013-01-01 39921
2014-01-01 40702
2015-01-01 41574
2016-01-01 43530
2017-01-01 45181
2018-01-01 46401
2019-01-01 48177
2020-01-01 49750
2021-01-01 51595
2022-01-01 54535

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