Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for St. Francis County, AR
Series ID MHICILBAR05123A052NCEN
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 1:54 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 12760
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14687
1994-01-01 .
1995-01-01 17773
1996-01-01 .
1997-01-01 18857
1998-01-01 20593
1999-01-01 23467
2000-01-01 24384
2001-01-01 23538
2002-01-01 23126
2003-01-01 23996
2004-01-01 24811
2005-01-01 25296
2006-01-01 27639
2007-01-01 25696
2008-01-01 26084
2009-01-01 26338
2010-01-01 27130
2011-01-01 25955
2012-01-01 30893
2013-01-01 26416
2014-01-01 27676
2015-01-01 28819
2016-01-01 38264
2017-01-01 28162
2018-01-01 30167
2019-01-01 30630
2020-01-01 32031
2021-01-01 32786
2022-01-01 33668

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