Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Arkansas
Series ID MHICIUBAR05000A052NCEN
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 21854
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25208
1994-01-01 .
1995-01-01 27921
1996-01-01 29050
1997-01-01 29515
1998-01-01 30920
1999-01-01 32586
2000-01-01 33295
2001-01-01 34331
2002-01-01 34502
2003-01-01 34895
2004-01-01 36759
2005-01-01 35606
2006-01-01 37100
2007-01-01 38929
2008-01-01 39502
2009-01-01 38487
2010-01-01 39020
2011-01-01 39611
2012-01-01 40636
2013-01-01 41289
2014-01-01 41968
2015-01-01 42518
2016-01-01 45282
2017-01-01 46651
2018-01-01 47787
2019-01-01 49863
2020-01-01 52542
2021-01-01 53559
2022-01-01 56475

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