Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbia County, AR
Series ID MHICILBAR05027A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 17652
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19919
1994-01-01 .
1995-01-01 21673
1996-01-01 .
1997-01-01 23775
1998-01-01 25425
1999-01-01 26433
2000-01-01 26970
2001-01-01 26514
2002-01-01 26563
2003-01-01 27476
2004-01-01 28325
2005-01-01 27736
2006-01-01 28269
2007-01-01 33622
2008-01-01 32091
2009-01-01 29507
2010-01-01 31240
2011-01-01 30901
2012-01-01 31797
2013-01-01 33489
2014-01-01 33872
2015-01-01 34267
2016-01-01 32120
2017-01-01 34536
2018-01-01 36464
2019-01-01 38007
2020-01-01 38302
2021-01-01 39345
2022-01-01 41989
2023-01-01 39099

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