Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pulaski County, AR
Series ID MHICIUBAR05119A052NCEN
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 1:10 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 28146
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32527
1994-01-01 .
1995-01-01 35095
1996-01-01 .
1997-01-01 37401
1998-01-01 38910
1999-01-01 38858
2000-01-01 40941
2001-01-01 40422
2002-01-01 40503
2003-01-01 41622
2004-01-01 42875
2005-01-01 42165
2006-01-01 45293
2007-01-01 46755
2008-01-01 46869
2009-01-01 43888
2010-01-01 46640
2011-01-01 46082
2012-01-01 47206
2013-01-01 48826
2014-01-01 48296
2015-01-01 48391
2016-01-01 50578
2017-01-01 54962
2018-01-01 51773
2019-01-01 55536
2020-01-01 60836
2021-01-01 56954
2022-01-01 60020

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