Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, AR
Series ID MHICIUBAR05047A052NCEN
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 21779
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24925
1994-01-01 .
1995-01-01 28130
1996-01-01 .
1997-01-01 30294
1998-01-01 31459
1999-01-01 31227
2000-01-01 33422
2001-01-01 32637
2002-01-01 32100
2003-01-01 33318
2004-01-01 35539
2005-01-01 35644
2006-01-01 37969
2007-01-01 39668
2008-01-01 41792
2009-01-01 33765
2010-01-01 40888
2011-01-01 42096
2012-01-01 43094
2013-01-01 41638
2014-01-01 42975
2015-01-01 45791
2016-01-01 44102
2017-01-01 45454
2018-01-01 48577
2019-01-01 51085
2020-01-01 54262
2021-01-01 53441
2022-01-01 53857

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