Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Phillips County, AR
Series ID MHICILBAR05107A052NCEN
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 11263
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12920
1994-01-01 .
1995-01-01 14889
1996-01-01 .
1997-01-01 15749
1998-01-01 17085
1999-01-01 20466
2000-01-01 21099
2001-01-01 20555
2002-01-01 19960
2003-01-01 21239
2004-01-01 21678
2005-01-01 22128
2006-01-01 22593
2007-01-01 23794
2008-01-01 23985
2009-01-01 22598
2010-01-01 24428
2011-01-01 24431
2012-01-01 23579
2013-01-01 23725
2014-01-01 25323
2015-01-01 25543
2016-01-01 26119
2017-01-01 24727
2018-01-01 26676
2019-01-01 28022
2020-01-01 30578
2021-01-01 28738
2022-01-01 31816

Subscribe to the FRED newsletter


Follow us

Back to Top